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		<id>https://tmplab.org/wiki/api.php?action=feedcontributions&amp;feedformat=atom&amp;user=Ogrisel</id>
		<title>Tmplab - User contributions [en]</title>
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		<updated>2026-05-23T14:33:24Z</updated>
		<subtitle>User contributions</subtitle>
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	<entry>
		<id>https://tmplab.org/wiki/index.php?title=/tmp/bci/machine-learning&amp;diff=3381</id>
		<title>/tmp/bci/machine-learning</title>
		<link rel="alternate" type="text/html" href="https://tmplab.org/wiki/index.php?title=/tmp/bci/machine-learning&amp;diff=3381"/>
				<updated>2011-06-13T07:33:58Z</updated>
		
		<summary type="html">&lt;p&gt;Ogrisel: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Goal =&lt;br /&gt;
&lt;br /&gt;
Experiment with basic brain reverse engineering: out of the raw signal of the brain (EEG, fNIRS, ...), try to identify stable correlation with mental activity (reading text, listening to music, programming, sleeping) so as to find more deterministic ways to use the kits to control devices or generate artistic outputs (music, video, ...).&lt;br /&gt;
&lt;br /&gt;
= Tools =&lt;br /&gt;
&lt;br /&gt;
== pythinkgear ==&lt;br /&gt;
&lt;br /&gt;
Python library to gain direct real time access to the NeuroSky MindSet signals from python under Linux and MacOSX (or any system that can map a bluetooth device as a serial port).&lt;br /&gt;
&lt;br /&gt;
Status: currently [https://github.com/ogrisel/pythinkgear being extended] to log the raw data using numpy / matplotlib&lt;br /&gt;
&lt;br /&gt;
== OpenViBE ==&lt;br /&gt;
&lt;br /&gt;
Graphical environment written in C++ and released under LGPL to build, test and apply EEG and MEG signal decoding / processing in realtime based on user defined scenarios. It provides various signal processing building blocks and a couple of machine learning classifiers (e.g. LDA).&lt;br /&gt;
&lt;br /&gt;
* [http://openvibe.inria.fr/ Project page with video demo, source code, documentation...]&lt;br /&gt;
&lt;br /&gt;
== scikit-learn ==&lt;br /&gt;
&lt;br /&gt;
scikit-learn provides a rich tool box of machine learning algorithms implemented with python / numpy / cython. Approx 50% of the core developers are involved in applications of statistical learning for Neuro-Imaging research.&lt;br /&gt;
&lt;br /&gt;
Some resources to get started:&lt;br /&gt;
&lt;br /&gt;
* [https://github.com/scikit-learn/scikit-learn Official github source code repo]&lt;br /&gt;
* [http://scikit-learn.sourceforge.net Official website with documentation]&lt;br /&gt;
* [http://nisl.github.com/ Tutorial on application of machine learning to neuroimaging by scikit-learn developers]&lt;br /&gt;
&lt;br /&gt;
= People interested in this subproject =&lt;br /&gt;
&lt;br /&gt;
* Olivier Grisel ([https://twitter.com/ogrisel @ogrisel]) - scikit-learn developer&lt;br /&gt;
* Add your name here&lt;/div&gt;</summary>
		<author><name>Ogrisel</name></author>	</entry>

	<entry>
		<id>https://tmplab.org/wiki/index.php?title=Brain_Computer_Interface&amp;diff=3148</id>
		<title>Brain Computer Interface</title>
		<link rel="alternate" type="text/html" href="https://tmplab.org/wiki/index.php?title=Brain_Computer_Interface&amp;diff=3148"/>
				<updated>2011-01-22T16:19:36Z</updated>
		
		<summary type="html">&lt;p&gt;Ogrisel: /* DIY BCI headset */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== /tmp/bci ==&lt;br /&gt;
(Wiki in progress)&amp;lt;br&amp;gt;&lt;br /&gt;
Meta project involving hardware and software in 3 different major fields : Science / Computer Interface / Art&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
The current allinone homebrewed software is made in Rebol and called &amp;quot;Jackson&amp;quot;. A specific version &amp;quot;Jackson LIVE&amp;quot; is a sequencer style live tool available from 1 to zillion brains, for art performance, cooperative &amp;quot;construction&amp;quot; (graphics, sound, command,...). The Rebol option was chosen for dead simple portability and to interface seamlessly local and Internet connexions.&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Currently supported hardware is the Mindset.&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== What's new ? ==&lt;br /&gt;
* Inputs now accepts 2 iphone apps : ITM midilab and Isensor&lt;br /&gt;
* Output now support OSC messaging (OS X only), so can control MIDI, Max/msp, PureData, TouchOSC...&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
= HARDWARE =&lt;br /&gt;
&lt;br /&gt;
== Commercial ready-to-use BCI-kits ==&lt;br /&gt;
&lt;br /&gt;
=== NeuroSky Mindset ===&lt;br /&gt;
&lt;br /&gt;
* Single EEG dry sensor headset with audio&lt;br /&gt;
* Ability to sample at 512Hz and access the raw signal or FFT transform (waves: alpha, beta, delta, ...)&lt;br /&gt;
* BSD license Python SDK that works under linux with serial access mapped to the bluetooth device: https://github.com/groner/pythinkgear&lt;br /&gt;
* Software for OSX and windows also available by headset manufacturer : Neurosky&lt;br /&gt;
&lt;br /&gt;
=== Emotiv ===&lt;br /&gt;
&lt;br /&gt;
TODO: describe me!&lt;br /&gt;
&lt;br /&gt;
== DIY BCI headset ==&lt;br /&gt;
&lt;br /&gt;
* Building you own EEG headset using OpenEEG open source hardware kits and instructions: http://openeeg.sourceforge.net/doc/hw/&lt;br /&gt;
* Designing new acquisition devices (efficient, easy to wear, affordable) : Near Infra Red, EEG, Magnetometers, MRI compatible,...&lt;br /&gt;
* Designing signal analyzing electronic boards : FFT, FPGA, statistical analysis using machine learning algorithms...&lt;br /&gt;
* ...&lt;br /&gt;
&lt;br /&gt;
Real brainwaves centered current affordable commercial offers are either too simple (Mindset : ONE dry sensor) or required complex setup (Emotiv: several WET sensors).&lt;br /&gt;
&lt;br /&gt;
= BRAIN COMPUTER INTERFACE APPLICATIONS =&lt;br /&gt;
* Computer, robots,... command.&lt;br /&gt;
* Help disable people.&lt;br /&gt;
* BYOU : Bring Your Own Use : the geekier, the better !&lt;br /&gt;
&lt;br /&gt;
Goals : a reliable ON/OFF &amp;quot;button&amp;quot; and a scale model (1...10)  by cognitive task and interfacing with real world (TCP connexion,...).&lt;br /&gt;
&lt;br /&gt;
= SCIENCE =&lt;br /&gt;
&lt;br /&gt;
* Neurosciences : dedicated software for brain functionnal imaging : MRI, near IR, EEG with machine learning&lt;br /&gt;
* Large sets of brain generated data available in CSV file format. (40 hours)&lt;br /&gt;
* For more information on machine learning see the subproject page: [[/tmp/bci/machine-learning]]&lt;br /&gt;
 &lt;br /&gt;
Current steps are : designing experimental tests and results statistic analysis to stronger assess hardware reliability.&lt;br /&gt;
&lt;br /&gt;
= ART =&lt;br /&gt;
&lt;br /&gt;
* Digital arts: music / video live rendering of the brain activity&lt;br /&gt;
* [[DialogueS, EEG project]]&lt;br /&gt;
* Mind controlled...&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
For more about Jackson : [[/tmp/bci/jackson]].&amp;lt;br&amp;gt;&lt;br /&gt;
For more references : see the [[/tmp/bci/starterkit]].&amp;lt;br&amp;gt;&lt;br /&gt;
Comments are also welcome : tmpbci at gmail dot com or [http://bio.tmplab.org/2010/12/prochain-meeting-biohacklab-le-mardi-11-janvier/ on the web (fr)]&lt;/div&gt;</summary>
		<author><name>Ogrisel</name></author>	</entry>

	<entry>
		<id>https://tmplab.org/wiki/index.php?title=Brain_Computer_Interface&amp;diff=3147</id>
		<title>Brain Computer Interface</title>
		<link rel="alternate" type="text/html" href="https://tmplab.org/wiki/index.php?title=Brain_Computer_Interface&amp;diff=3147"/>
				<updated>2011-01-22T16:19:09Z</updated>
		
		<summary type="html">&lt;p&gt;Ogrisel: /* DIY BCI headset */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== /tmp/bci ==&lt;br /&gt;
(Wiki in progress)&amp;lt;br&amp;gt;&lt;br /&gt;
Meta project involving hardware and software in 3 different major fields : Science / Computer Interface / Art&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
The current allinone homebrewed software is made in Rebol and called &amp;quot;Jackson&amp;quot;. A specific version &amp;quot;Jackson LIVE&amp;quot; is a sequencer style live tool available from 1 to zillion brains, for art performance, cooperative &amp;quot;construction&amp;quot; (graphics, sound, command,...). The Rebol option was chosen for dead simple portability and to interface seamlessly local and Internet connexions.&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Currently supported hardware is the Mindset.&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== What's new ? ==&lt;br /&gt;
* Inputs now accepts 2 iphone apps : ITM midilab and Isensor&lt;br /&gt;
* Output now support OSC messaging (OS X only), so can control MIDI, Max/msp, PureData, TouchOSC...&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
= HARDWARE =&lt;br /&gt;
&lt;br /&gt;
== Commercial ready-to-use BCI-kits ==&lt;br /&gt;
&lt;br /&gt;
=== NeuroSky Mindset ===&lt;br /&gt;
&lt;br /&gt;
* Single EEG dry sensor headset with audio&lt;br /&gt;
* Ability to sample at 512Hz and access the raw signal or FFT transform (waves: alpha, beta, delta, ...)&lt;br /&gt;
* BSD license Python SDK that works under linux with serial access mapped to the bluetooth device: https://github.com/groner/pythinkgear&lt;br /&gt;
* Software for OSX and windows also available by headset manufacturer : Neurosky&lt;br /&gt;
&lt;br /&gt;
=== Emotiv ===&lt;br /&gt;
&lt;br /&gt;
TODO: describe me!&lt;br /&gt;
&lt;br /&gt;
== DIY BCI headset ==&lt;br /&gt;
&lt;br /&gt;
* Building you own EEG headset using [OpenEEG open source hardware kits and instructions](http://openeeg.sourceforge.net/doc/hw/)&lt;br /&gt;
* Designing new acquisition devices (efficient, easy to wear, affordable) : Near Infra Red, EEG, Magnetometers, MRI compatible,...&lt;br /&gt;
* Designing signal analyzing electronic boards : FFT, FPGA, statistical analysis using machine learning algorithms...&lt;br /&gt;
* ...&lt;br /&gt;
&lt;br /&gt;
Real brainwaves centered current affordable commercial offers are either too simple (Mindset : ONE dry sensor) or required complex setup (Emotiv: several WET sensors).&lt;br /&gt;
&lt;br /&gt;
= BRAIN COMPUTER INTERFACE APPLICATIONS =&lt;br /&gt;
* Computer, robots,... command.&lt;br /&gt;
* Help disable people.&lt;br /&gt;
* BYOU : Bring Your Own Use : the geekier, the better !&lt;br /&gt;
&lt;br /&gt;
Goals : a reliable ON/OFF &amp;quot;button&amp;quot; and a scale model (1...10)  by cognitive task and interfacing with real world (TCP connexion,...).&lt;br /&gt;
&lt;br /&gt;
= SCIENCE =&lt;br /&gt;
&lt;br /&gt;
* Neurosciences : dedicated software for brain functionnal imaging : MRI, near IR, EEG with machine learning&lt;br /&gt;
* Large sets of brain generated data available in CSV file format. (40 hours)&lt;br /&gt;
* For more information on machine learning see the subproject page: [[/tmp/bci/machine-learning]]&lt;br /&gt;
 &lt;br /&gt;
Current steps are : designing experimental tests and results statistic analysis to stronger assess hardware reliability.&lt;br /&gt;
&lt;br /&gt;
= ART =&lt;br /&gt;
&lt;br /&gt;
* Digital arts: music / video live rendering of the brain activity&lt;br /&gt;
* [[DialogueS, EEG project]]&lt;br /&gt;
* Mind controlled...&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
For more about Jackson : [[/tmp/bci/jackson]].&amp;lt;br&amp;gt;&lt;br /&gt;
For more references : see the [[/tmp/bci/starterkit]].&amp;lt;br&amp;gt;&lt;br /&gt;
Comments are also welcome : tmpbci at gmail dot com or [http://bio.tmplab.org/2010/12/prochain-meeting-biohacklab-le-mardi-11-janvier/ on the web (fr)]&lt;/div&gt;</summary>
		<author><name>Ogrisel</name></author>	</entry>

	<entry>
		<id>https://tmplab.org/wiki/index.php?title=Brain_Computer_Interface&amp;diff=3146</id>
		<title>Brain Computer Interface</title>
		<link rel="alternate" type="text/html" href="https://tmplab.org/wiki/index.php?title=Brain_Computer_Interface&amp;diff=3146"/>
				<updated>2011-01-22T14:59:11Z</updated>
		
		<summary type="html">&lt;p&gt;Ogrisel: /* NeuroSky Mindset */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== /tmp/bci ==&lt;br /&gt;
(Wiki in progress)&amp;lt;br&amp;gt;&lt;br /&gt;
Meta project involving hardware and software in 3 different major fields : Science / Computer Interface / Art&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
The current allinone homebrewed software is made in Rebol and called &amp;quot;Jackson&amp;quot;. A specific version &amp;quot;Jackson LIVE&amp;quot; is a sequencer style live tool available from 1 to zillion brains, for art performance, cooperative &amp;quot;construction&amp;quot; (graphics, sound, command,...). The Rebol option was chosen for dead simple portability and to interface seamlessly local and Internet connexions.&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Currently supported hardware is the Mindset.&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== What's new ? ==&lt;br /&gt;
* Inputs now accepts 2 iphone apps : ITM midilab and Isensor&lt;br /&gt;
* Output now support OSC messaging (OS X only), so can control MIDI, Max/msp, PureData, TouchOSC...&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
= HARDWARE =&lt;br /&gt;
&lt;br /&gt;
== Commercial ready-to-use BCI-kits ==&lt;br /&gt;
&lt;br /&gt;
=== NeuroSky Mindset ===&lt;br /&gt;
&lt;br /&gt;
* Single EEG dry sensor headset with audio&lt;br /&gt;
* Ability to sample at 512Hz and access the raw signal or FFT transform (waves: alpha, beta, delta, ...)&lt;br /&gt;
* BSD license Python SDK that works under linux with serial access mapped to the bluetooth device: https://github.com/groner/pythinkgear&lt;br /&gt;
* Software for OSX and windows also available by headset manufacturer : Neurosky&lt;br /&gt;
&lt;br /&gt;
=== Emotiv ===&lt;br /&gt;
&lt;br /&gt;
TODO: describe me!&lt;br /&gt;
&lt;br /&gt;
== DIY BCI headset ==&lt;br /&gt;
&lt;br /&gt;
* Designing new acquisition devices (efficient, easy to wear, affordable) : Near Infra Red, EEG, Magnetometers, MRI compatible,...&lt;br /&gt;
* Designing signal analyzing electronic boards : FFT, FPGA, statistical analysis using machine learning algorithms...&lt;br /&gt;
* ...&lt;br /&gt;
&lt;br /&gt;
Real brainwaves centered current affordable commercial offers are either too simple (Mindset : ONE dry sensor) or required complex setup (Emotiv: several WET sensors).&lt;br /&gt;
&lt;br /&gt;
= BRAIN COMPUTER INTERFACE APPLICATIONS =&lt;br /&gt;
* Computer, robots,... command.&lt;br /&gt;
* Help disable people.&lt;br /&gt;
* BYOU : Bring Your Own Use : the geekier, the better !&lt;br /&gt;
&lt;br /&gt;
Goals : a reliable ON/OFF &amp;quot;button&amp;quot; and a scale model (1...10)  by cognitive task and interfacing with real world (TCP connexion,...).&lt;br /&gt;
&lt;br /&gt;
= SCIENCE =&lt;br /&gt;
&lt;br /&gt;
* Neurosciences : dedicated software for brain functionnal imaging : MRI, near IR, EEG with machine learning&lt;br /&gt;
* Large sets of brain generated data available in CSV file format. (40 hours)&lt;br /&gt;
* For more information on machine learning see the subproject page: [[/tmp/bci/machine-learning]]&lt;br /&gt;
 &lt;br /&gt;
Current steps are : designing experimental tests and results statistic analysis to stronger assess hardware reliability.&lt;br /&gt;
&lt;br /&gt;
= ART =&lt;br /&gt;
&lt;br /&gt;
* Digital arts: music / video live rendering of the brain activity&lt;br /&gt;
* [[DialogueS, EEG project]]&lt;br /&gt;
* Mind controlled...&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
For more about Jackson : [[/tmp/bci/jackson]].&amp;lt;br&amp;gt;&lt;br /&gt;
For more references : see the [[/tmp/bci/starterkit]].&amp;lt;br&amp;gt;&lt;br /&gt;
Comments are also welcome : tmpbci at gmail dot com or [http://bio.tmplab.org/2010/12/prochain-meeting-biohacklab-le-mardi-11-janvier/ on the web (fr)]&lt;/div&gt;</summary>
		<author><name>Ogrisel</name></author>	</entry>

	<entry>
		<id>https://tmplab.org/wiki/index.php?title=/tmp/bci/&amp;diff=3145</id>
		<title>/tmp/bci/</title>
		<link rel="alternate" type="text/html" href="https://tmplab.org/wiki/index.php?title=/tmp/bci/&amp;diff=3145"/>
				<updated>2011-01-22T14:58:15Z</updated>
		
		<summary type="html">&lt;p&gt;Ogrisel: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Go to [[Brain Computer Interface]]&lt;/div&gt;</summary>
		<author><name>Ogrisel</name></author>	</entry>

	<entry>
		<id>https://tmplab.org/wiki/index.php?title=/tmp/bci/&amp;diff=3144</id>
		<title>/tmp/bci/</title>
		<link rel="alternate" type="text/html" href="https://tmplab.org/wiki/index.php?title=/tmp/bci/&amp;diff=3144"/>
				<updated>2011-01-22T14:58:02Z</updated>
		
		<summary type="html">&lt;p&gt;Ogrisel: New page: Go to [Brain Computer Interface]&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Go to [Brain Computer Interface]&lt;/div&gt;</summary>
		<author><name>Ogrisel</name></author>	</entry>

	<entry>
		<id>https://tmplab.org/wiki/index.php?title=/tmp/bci/machine-learning&amp;diff=3143</id>
		<title>/tmp/bci/machine-learning</title>
		<link rel="alternate" type="text/html" href="https://tmplab.org/wiki/index.php?title=/tmp/bci/machine-learning&amp;diff=3143"/>
				<updated>2011-01-22T14:57:25Z</updated>
		
		<summary type="html">&lt;p&gt;Ogrisel: /* Tools */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Goal =&lt;br /&gt;
&lt;br /&gt;
Experiment with basic brain reverse engineering: out of the raw signal of the brain (EEG, fNIRS, ...), try to identify stable correlation with mental activity (reading text, listening to music, programming, sleeping) so as to find more deterministic ways to use the kits to control devices or generate artistic outputs (music, video, ...).&lt;br /&gt;
&lt;br /&gt;
= Tools =&lt;br /&gt;
&lt;br /&gt;
== OpenViBE ==&lt;br /&gt;
&lt;br /&gt;
Graphical environment written in C++ and released under LGPL to build, test and apply EEG and MEG signal decoding / processing in realtime based on user defined scenarios. It provides various signal processing building blocks and a couple of machine learning classifiers (e.g. LDA).&lt;br /&gt;
&lt;br /&gt;
* [http://openvibe.inria.fr/ Project page with video demo, source code, documentation...]&lt;br /&gt;
&lt;br /&gt;
== scikit-learn ==&lt;br /&gt;
&lt;br /&gt;
scikit-learn provides a rich tool box of machine learning algorithms implemented with python / numpy / cython. Approx 50% of the core developers are involved in applications of statistical learning for Neuro-Imaging research.&lt;br /&gt;
&lt;br /&gt;
Some resources to get started:&lt;br /&gt;
&lt;br /&gt;
* [https://github.com/scikit-learn/scikit-learn Official github source code repo]&lt;br /&gt;
* [http://scikit-learn.sourceforge.net Official website with documentation]&lt;br /&gt;
* [http://nisl.github.com/ Tutorial on application of machine learning to neuroimaging by scikit-learn developers]&lt;br /&gt;
&lt;br /&gt;
= People interested in this subproject =&lt;br /&gt;
&lt;br /&gt;
* Olivier Grisel ([https://twitter.com/ogrisel @ogrisel]) - scikit-learn developer&lt;br /&gt;
* Add your name here&lt;/div&gt;</summary>
		<author><name>Ogrisel</name></author>	</entry>

	<entry>
		<id>https://tmplab.org/wiki/index.php?title=Brain_Computer_Interface&amp;diff=3080</id>
		<title>Brain Computer Interface</title>
		<link rel="alternate" type="text/html" href="https://tmplab.org/wiki/index.php?title=Brain_Computer_Interface&amp;diff=3080"/>
				<updated>2011-01-13T17:54:51Z</updated>
		
		<summary type="html">&lt;p&gt;Ogrisel: /* SCIENCE */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== /tmp/bci ==&lt;br /&gt;
(Wiki in progress)&amp;lt;br&amp;gt;&lt;br /&gt;
Meta project involving hardware and software in 3 different major fields : Science / Computer Interface / Art&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
The current allinone homebrewed software is made in Rebol and called &amp;quot;Jackson&amp;quot;. A specific version &amp;quot;Jackson LIVE&amp;quot; is a sequencer style live tool available from 1 to zillion brains, for art performance, cooperative &amp;quot;construction&amp;quot; (graphics, sound, command,...). The Rebol option was chosen for dead simple portability and to interface seamlessly local and Internet connexions.&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Currently supported hardware is the Mindset.&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== What's new ? ==&lt;br /&gt;
* Inputs now accepts 2 iphone apps : ITM midilab and Isensor&lt;br /&gt;
* Output now support OSC messaging (OS X only), so can control MIDI, Max/msp, PureData, TouchOSC...&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
= HARDWARE =&lt;br /&gt;
&lt;br /&gt;
== Commercial ready-to-use BCI-kits ==&lt;br /&gt;
&lt;br /&gt;
=== NeuroSky Mindset ===&lt;br /&gt;
&lt;br /&gt;
* Single EEG dry sensor headset with audio&lt;br /&gt;
* Ability to sample at 512Hz and access the raw signal or FFT transform (waves: alpha, beta, delta, ...)&lt;br /&gt;
* BSD license Python SDK that works under linux with bluetooth access: https://github.com/groner/pythinkgear&lt;br /&gt;
&lt;br /&gt;
=== Emotiv ===&lt;br /&gt;
&lt;br /&gt;
TODO: describe me!&lt;br /&gt;
&lt;br /&gt;
== DIY BCI headset ==&lt;br /&gt;
&lt;br /&gt;
* Designing new acquisition devices (efficient, easy to wear, affordable) : Near Infra Red, EEG, Magnetometers, MRI compatible,...&lt;br /&gt;
* Designing signal analyzing electronic boards : FFT, FPGA, statistical analysis using machine learning algorithms...&lt;br /&gt;
* ...&lt;br /&gt;
&lt;br /&gt;
Real brainwaves centered current affordable commercial offers are either too simple (Mindset : ONE dry sensor) or required complex setup (Emotiv: several WET sensors).&lt;br /&gt;
&lt;br /&gt;
= BRAIN COMPUTER INTERFACE APPLICATIONS =&lt;br /&gt;
* Computer, robots,... command.&lt;br /&gt;
* Help disable people.&lt;br /&gt;
* BYOU : Bring Your Own Use : the geekier, the better !&lt;br /&gt;
&lt;br /&gt;
Goals : a reliable ON/OFF &amp;quot;button&amp;quot; and a scale model (1...10)  by cognitive task and interfacing with real world (TCP connexion,...).&lt;br /&gt;
&lt;br /&gt;
= SCIENCE =&lt;br /&gt;
&lt;br /&gt;
* Neurosciences : dedicated software for brain functionnal imaging : MRI, near IR, EEG with machine learning&lt;br /&gt;
* Large sets of brain generated data available in CSV file format. (40 hours)&lt;br /&gt;
* For more information on machine learning see the subproject page: [[/tmp/bci/machine-learning]]&lt;br /&gt;
 &lt;br /&gt;
Current steps are : designing experimental tests and results statistic analysis to stronger assess hardware reliability.&lt;br /&gt;
&lt;br /&gt;
= ART =&lt;br /&gt;
&lt;br /&gt;
* Digital arts: music / video live rendering of the brain activity&lt;br /&gt;
* [[DialogueS, EEG project]]&lt;br /&gt;
* Mind controlled...&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
For more about Jackson : [[/tmp/bci/jackson]].&amp;lt;br&amp;gt;&lt;br /&gt;
Comments are also welcome : tmpbci at gmail dot com or [http://bio.tmplab.org/2010/12/prochain-meeting-biohacklab-le-mardi-11-janvier/ on the web (fr)]&lt;/div&gt;</summary>
		<author><name>Ogrisel</name></author>	</entry>

	<entry>
		<id>https://tmplab.org/wiki/index.php?title=/tmp/bci/jackson&amp;diff=3078</id>
		<title>/tmp/bci/jackson</title>
		<link rel="alternate" type="text/html" href="https://tmplab.org/wiki/index.php?title=/tmp/bci/jackson&amp;diff=3078"/>
				<updated>2011-01-13T17:21:04Z</updated>
		
		<summary type="html">&lt;p&gt;Ogrisel: /* Display algorythms / Virtual painters */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;(wiki in progress)&lt;br /&gt;
== Current status ==&lt;br /&gt;
Jackson is in early alpha stage compare to planned features but is perferctly functionnal for recording and displaying headset captured datas. The live version Jackson LIVE aka &amp;quot;jLIVE&amp;quot; is a time line sequencer that is able to mindlaunch whatever you want through built in TCP interface or command line.&lt;br /&gt;
&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
Current dev effort is focused on interfacing Jackson with PureData. &lt;br /&gt;
&lt;br /&gt;
= Recording =&lt;br /&gt;
&lt;br /&gt;
* Dead simple Start/Stop.&lt;br /&gt;
* Automatic csv data save.&lt;br /&gt;
* Display algorythm choice&lt;br /&gt;
&lt;br /&gt;
= Drawing =&lt;br /&gt;
&lt;br /&gt;
* Draw any previously saved csv file.&lt;br /&gt;
* Remote display on another computer is also available through specific client yet but soon in builtin webserver.&lt;br /&gt;
* Display algorythm choice&lt;br /&gt;
&lt;br /&gt;
= Display algorithms / Virtual painters =&lt;br /&gt;
&lt;br /&gt;
* &amp;quot;ON/OFF&amp;quot; LED &lt;br /&gt;
* EEG displays available waves in a time graph. &lt;br /&gt;
* &amp;quot;Realtime&amp;quot; display (1 frame/sec cause of Mindset)&lt;br /&gt;
* Several long run abstract shapes.&lt;br /&gt;
* More about [[Jackson Painters]]&lt;br /&gt;
&lt;br /&gt;
= Screenshots =&lt;br /&gt;
[[Image:eeg.jpg]][[Image:draw.jpg]][[Image:ui.jpg]]&lt;/div&gt;</summary>
		<author><name>Ogrisel</name></author>	</entry>

	<entry>
		<id>https://tmplab.org/wiki/index.php?title=/tmp/bci/machine-learning&amp;diff=3077</id>
		<title>/tmp/bci/machine-learning</title>
		<link rel="alternate" type="text/html" href="https://tmplab.org/wiki/index.php?title=/tmp/bci/machine-learning&amp;diff=3077"/>
				<updated>2011-01-13T17:17:59Z</updated>
		
		<summary type="html">&lt;p&gt;Ogrisel: /* Goal */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Goal =&lt;br /&gt;
&lt;br /&gt;
Experiment with basic brain reverse engineering: out of the raw signal of the brain (EEG, fNIRS, ...), try to identify stable correlation with mental activity (reading text, listening to music, programming, sleeping) so as to find more deterministic ways to use the kits to control devices or generate artistic outputs (music, video, ...).&lt;br /&gt;
&lt;br /&gt;
= Tools =&lt;br /&gt;
&lt;br /&gt;
== scikit-learn ==&lt;br /&gt;
&lt;br /&gt;
scikit-learn provides a rich tool box of machine learning algorithms implemented with python / numpy / cython. Approx 50% of the core developers are involved in applications of statistical learning for Neuro-Imaging research.&lt;br /&gt;
&lt;br /&gt;
Some resources to get started:&lt;br /&gt;
&lt;br /&gt;
* [https://github.com/scikit-learn/scikit-learn Official github source code repo]&lt;br /&gt;
* [http://scikit-learn.sourceforge.net Official website with documentation]&lt;br /&gt;
* [http://nisl.github.com/ Tutorial on application of machine learning to neuroimaging by scikit-learn developers]&lt;br /&gt;
&lt;br /&gt;
= People interested in this subproject =&lt;br /&gt;
&lt;br /&gt;
* Olivier Grisel ([https://twitter.com/ogrisel @ogrisel]) - scikit-learn developer&lt;br /&gt;
* Add your name here&lt;/div&gt;</summary>
		<author><name>Ogrisel</name></author>	</entry>

	<entry>
		<id>https://tmplab.org/wiki/index.php?title=/tmp/bci/machine-learning&amp;diff=3076</id>
		<title>/tmp/bci/machine-learning</title>
		<link rel="alternate" type="text/html" href="https://tmplab.org/wiki/index.php?title=/tmp/bci/machine-learning&amp;diff=3076"/>
				<updated>2011-01-13T16:53:07Z</updated>
		
		<summary type="html">&lt;p&gt;Ogrisel: /* scikit-learn */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Goal =&lt;br /&gt;
&lt;br /&gt;
Experiment with basic brain reverse engineering: out of the raw signal of the brain (EEG, fNIRS, ...), try to identify stable correlation with mental activity (reading text, listening to music, programming, sleeping) so as to find more deterministic ways to use the kits to control devices or generate artistic outpouts (music, video, ...).&lt;br /&gt;
&lt;br /&gt;
= Tools =&lt;br /&gt;
&lt;br /&gt;
== scikit-learn ==&lt;br /&gt;
&lt;br /&gt;
scikit-learn provides a rich tool box of machine learning algorithms implemented with python / numpy / cython. Approx 50% of the core developers are involved in applications of statistical learning for Neuro-Imaging research.&lt;br /&gt;
&lt;br /&gt;
Some resources to get started:&lt;br /&gt;
&lt;br /&gt;
* [https://github.com/scikit-learn/scikit-learn Official github source code repo]&lt;br /&gt;
* [http://scikit-learn.sourceforge.net Official website with documentation]&lt;br /&gt;
* [http://nisl.github.com/ Tutorial on application of machine learning to neuroimaging by scikit-learn developers]&lt;br /&gt;
&lt;br /&gt;
= People interested in this subproject =&lt;br /&gt;
&lt;br /&gt;
* Olivier Grisel ([https://twitter.com/ogrisel @ogrisel]) - scikit-learn developer&lt;br /&gt;
* Add your name here&lt;/div&gt;</summary>
		<author><name>Ogrisel</name></author>	</entry>

	<entry>
		<id>https://tmplab.org/wiki/index.php?title=/tmp/bci/machine-learning&amp;diff=3075</id>
		<title>/tmp/bci/machine-learning</title>
		<link rel="alternate" type="text/html" href="https://tmplab.org/wiki/index.php?title=/tmp/bci/machine-learning&amp;diff=3075"/>
				<updated>2011-01-13T16:47:38Z</updated>
		
		<summary type="html">&lt;p&gt;Ogrisel: New page: = Goal =  Experiment with basic brain reverse engineering: out of the raw signal of the brain (EEG, fNIRS, ...), try to identify stable correlation with mental activity (reading text, list...&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Goal =&lt;br /&gt;
&lt;br /&gt;
Experiment with basic brain reverse engineering: out of the raw signal of the brain (EEG, fNIRS, ...), try to identify stable correlation with mental activity (reading text, listening to music, programming, sleeping) so as to find more deterministic ways to use the kits to control devices or generate artistic outpouts (music, video, ...).&lt;br /&gt;
&lt;br /&gt;
= Tools =&lt;br /&gt;
&lt;br /&gt;
== scikit-learn ==&lt;br /&gt;
&lt;br /&gt;
[http://scikit-learn.sourceforge.net scikit-learn] provides a rich tool box of machine learning algorithms implemented with python / numpy / cython. Approx 50% of the core developers are involved in applications of statistical learning for Neuro-Imaging research.&lt;br /&gt;
&lt;br /&gt;
Some resources to get started:&lt;br /&gt;
&lt;br /&gt;
* https://github.com&lt;br /&gt;
&lt;br /&gt;
= People interested in this subproject =&lt;br /&gt;
&lt;br /&gt;
* Olivier Grisel ([https://twitter.com/ogrisel @ogrisel]) - scikit-learn developer&lt;br /&gt;
* Add your name here&lt;/div&gt;</summary>
		<author><name>Ogrisel</name></author>	</entry>

	<entry>
		<id>https://tmplab.org/wiki/index.php?title=Brain_Computer_Interface&amp;diff=3074</id>
		<title>Brain Computer Interface</title>
		<link rel="alternate" type="text/html" href="https://tmplab.org/wiki/index.php?title=Brain_Computer_Interface&amp;diff=3074"/>
				<updated>2011-01-13T16:38:17Z</updated>
		
		<summary type="html">&lt;p&gt;Ogrisel: /* HARDWARE */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== /tmp/bci ==&lt;br /&gt;
(Wiki in progress)&amp;lt;br&amp;gt;&lt;br /&gt;
Meta project involving hardware and software in 3 different major fields : Science / Computer Interface / Art&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
The current allinone homebrewed software is made in Rebol and called &amp;quot;Jackson&amp;quot;. A specific version &amp;quot;Jackson LIVE&amp;quot; is a sequencer style live tool available from 1 to zillion brains, for art performance, cooperative &amp;quot;construction&amp;quot; (graphics, sound, command,...). The Rebol option was chosen for dead simple portability and to interface seamlessly local and Internet connexions.&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Currently supported hardware is the Mindset.&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== What's new ? ==&lt;br /&gt;
* Inputs now accepts 2 iphone apps : ITM midilab and Isensor&lt;br /&gt;
* Output now support OSC messaging (OS X only), so can control MIDI, Max/msp, PureData, TouchOSC...&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
= HARDWARE =&lt;br /&gt;
&lt;br /&gt;
== Commercial ready-to-use BCI-kits ==&lt;br /&gt;
&lt;br /&gt;
=== NeuroSky Mindset ===&lt;br /&gt;
&lt;br /&gt;
* Single EEG dry sensor headset with audio&lt;br /&gt;
* Ability to sample at 512Hz and access the raw signal or FFT transform (waves: alpha, beta, delta, ...)&lt;br /&gt;
* http://store-eu.neurosky.com/products/mindset (149 euro)&lt;br /&gt;
* BSD license Python SDK that works under linux with bluetooth access: https://github.com/groner/pythinkgear&lt;br /&gt;
&lt;br /&gt;
=== Emotiv ===&lt;br /&gt;
&lt;br /&gt;
TODO: describe me!&lt;br /&gt;
&lt;br /&gt;
== DIY BCI headset ==&lt;br /&gt;
&lt;br /&gt;
* Designing new acquisition devices (efficient, easy to wear, affordable) : Near Infra Red, EEG, Magnetometers, MRI compatible,...&lt;br /&gt;
* Designing signal analyzing electronic boards : FFT, FPGA, statistical analysis using machine learning algorithms...&lt;br /&gt;
* ...&lt;br /&gt;
&lt;br /&gt;
Real brainwaves centered current affordable commercial offers are either too simple (Mindset : ONE dry sensor) or required complex setup (Emotiv: several WET sensors).&lt;br /&gt;
&lt;br /&gt;
= BRAIN COMPUTER INTERFACE APPLICATIONS =&lt;br /&gt;
* Computer, robots,... command.&lt;br /&gt;
* Help disable people.&lt;br /&gt;
* BYOU : Bring Your Own Use : the geekier, the better !&lt;br /&gt;
&lt;br /&gt;
Goals : a reliable ON/OFF &amp;quot;button&amp;quot; and a scale model (1...10)  by cognitive task and interfacing with real world (TCP connexion,...).&lt;br /&gt;
&lt;br /&gt;
= SCIENCE =&lt;br /&gt;
&lt;br /&gt;
* Neurosciences : dedicated software for brain functionnal imaging : MRI, near IR, EEG.&lt;br /&gt;
* Large sets of brain generated data available in CSV file format. (40 hours)&lt;br /&gt;
 &lt;br /&gt;
Current steps are : designing experimental tests and results statistic analysis to stronger assess hardware reliability.&lt;br /&gt;
&lt;br /&gt;
= ART =&lt;br /&gt;
&lt;br /&gt;
* Digital arts: music / video live rendering of the brain activity&lt;br /&gt;
* [[DialogueS, EEG project]]&lt;br /&gt;
* Mind controlled...&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
For more about Jackson : [[/tmp/bci/jackson]].&amp;lt;br&amp;gt;&lt;br /&gt;
Comments are also welcome : tmpbci at gmail dot com or [http://bio.tmplab.org/2010/12/prochain-meeting-biohacklab-le-mardi-11-janvier/ on the web (fr)]&lt;/div&gt;</summary>
		<author><name>Ogrisel</name></author>	</entry>

	<entry>
		<id>https://tmplab.org/wiki/index.php?title=Brain_Computer_Interface&amp;diff=3073</id>
		<title>Brain Computer Interface</title>
		<link rel="alternate" type="text/html" href="https://tmplab.org/wiki/index.php?title=Brain_Computer_Interface&amp;diff=3073"/>
				<updated>2011-01-13T16:37:15Z</updated>
		
		<summary type="html">&lt;p&gt;Ogrisel: /* NeuroSky Mindset */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== /tmp/bci ==&lt;br /&gt;
(Wiki in progress)&amp;lt;br&amp;gt;&lt;br /&gt;
Meta project involving hardware and software in 3 different major fields : Science / Computer Interface / Art&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
The current allinone homebrewed software is made in Rebol and called &amp;quot;Jackson&amp;quot;. A specific version &amp;quot;Jackson LIVE&amp;quot; is a sequencer style live tool available from 1 to zillion brains, for art performance, cooperative &amp;quot;construction&amp;quot; (graphics, sound, command,...). The Rebol option was chosen for dead simple portability and to interface seamlessly local and Internet connexions.&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Currently supported hardware is the Mindset.&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== What's new ? ==&lt;br /&gt;
* Inputs now accepts 2 iphone apps : ITM midilab and Isensor&lt;br /&gt;
* Output now support OSC messaging (OS X only), so can control MIDI, Max/msp, PureData, TouchOSC...&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
= HARDWARE =&lt;br /&gt;
&lt;br /&gt;
== DIY BCI headset ==&lt;br /&gt;
&lt;br /&gt;
* Designing new acquisition devices (efficient, easy to wear, affordable) : Near Infra Red, EEG, Magnetometers, MRI compatible,...&lt;br /&gt;
* Designing signal analyzing electronic boards : FFT, FPGA,..&lt;br /&gt;
* ...&lt;br /&gt;
&lt;br /&gt;
Real brainwaves centered current affordable commercial offers are either too simple (Mindset : ONE dry sensor) or required complex setup (Emotiv: several WET sensors).&lt;br /&gt;
&lt;br /&gt;
== Commercial ready-to-use BCI-kits ==&lt;br /&gt;
&lt;br /&gt;
=== NeuroSky Mindset ===&lt;br /&gt;
&lt;br /&gt;
* Single EEG dry sensor headset with audio&lt;br /&gt;
* Ability to sample at 512Hz and access the raw signal or FFT transform (waves: alpha, beta, delta, ...)&lt;br /&gt;
* http://store-eu.neurosky.com/products/mindset (149 euro)&lt;br /&gt;
* BSD license Python SDK that works under linux with bluetooth access: https://github.com/groner/pythinkgear&lt;br /&gt;
&lt;br /&gt;
=== Emotiv ===&lt;br /&gt;
&lt;br /&gt;
TODO: describe me!&lt;br /&gt;
&lt;br /&gt;
= BRAIN COMPUTER INTERFACE APPLICATIONS =&lt;br /&gt;
* Computer, robots,... command.&lt;br /&gt;
* Help disable people.&lt;br /&gt;
* BYOU : Bring Your Own Use : the geekier, the better !&lt;br /&gt;
&lt;br /&gt;
Goals : a reliable ON/OFF &amp;quot;button&amp;quot; and a scale model (1...10)  by cognitive task and interfacing with real world (TCP connexion,...).&lt;br /&gt;
&lt;br /&gt;
= SCIENCE =&lt;br /&gt;
&lt;br /&gt;
* Neurosciences : dedicated software for brain functionnal imaging : MRI, near IR, EEG.&lt;br /&gt;
* Large sets of brain generated data available in CSV file format. (40 hours)&lt;br /&gt;
 &lt;br /&gt;
Current steps are : designing experimental tests and results statistic analysis to stronger assess hardware reliability.&lt;br /&gt;
&lt;br /&gt;
= ART =&lt;br /&gt;
&lt;br /&gt;
* Digital arts: music / video live rendering of the brain activity&lt;br /&gt;
* [[DialogueS, EEG project]]&lt;br /&gt;
* Mind controlled...&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
For more about Jackson : [[/tmp/bci/jackson]].&amp;lt;br&amp;gt;&lt;br /&gt;
Comments are also welcome : tmpbci at gmail dot com or [http://bio.tmplab.org/2010/12/prochain-meeting-biohacklab-le-mardi-11-janvier/ on the web (fr)]&lt;/div&gt;</summary>
		<author><name>Ogrisel</name></author>	</entry>

	<entry>
		<id>https://tmplab.org/wiki/index.php?title=Brain_Computer_Interface&amp;diff=3072</id>
		<title>Brain Computer Interface</title>
		<link rel="alternate" type="text/html" href="https://tmplab.org/wiki/index.php?title=Brain_Computer_Interface&amp;diff=3072"/>
				<updated>2011-01-13T16:36:44Z</updated>
		
		<summary type="html">&lt;p&gt;Ogrisel: /* Single EEG sensor headset: NeuroSky Mindset */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== /tmp/bci ==&lt;br /&gt;
(Wiki in progress)&amp;lt;br&amp;gt;&lt;br /&gt;
Meta project involving hardware and software in 3 different major fields : Science / Computer Interface / Art&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
The current allinone homebrewed software is made in Rebol and called &amp;quot;Jackson&amp;quot;. A specific version &amp;quot;Jackson LIVE&amp;quot; is a sequencer style live tool available from 1 to zillion brains, for art performance, cooperative &amp;quot;construction&amp;quot; (graphics, sound, command,...). The Rebol option was chosen for dead simple portability and to interface seamlessly local and Internet connexions.&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Currently supported hardware is the Mindset.&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== What's new ? ==&lt;br /&gt;
* Inputs now accepts 2 iphone apps : ITM midilab and Isensor&lt;br /&gt;
* Output now support OSC messaging (OS X only), so can control MIDI, Max/msp, PureData, TouchOSC...&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
= HARDWARE =&lt;br /&gt;
&lt;br /&gt;
== DIY BCI headset ==&lt;br /&gt;
&lt;br /&gt;
* Designing new acquisition devices (efficient, easy to wear, affordable) : Near Infra Red, EEG, Magnetometers, MRI compatible,...&lt;br /&gt;
* Designing signal analyzing electronic boards : FFT, FPGA,..&lt;br /&gt;
* ...&lt;br /&gt;
&lt;br /&gt;
Real brainwaves centered current affordable commercial offers are either too simple (Mindset : ONE dry sensor) or required complex setup (Emotiv: several WET sensors).&lt;br /&gt;
&lt;br /&gt;
== Commercial ready-to-use BCI-kits ==&lt;br /&gt;
&lt;br /&gt;
=== NeuroSky Mindset ===&lt;br /&gt;
&lt;br /&gt;
* Single EEG sensor headset with audio&lt;br /&gt;
* Ability to sample at 512Hz and access the raw signal or FFT transform (waves: alpha, beta, delta, ...)&lt;br /&gt;
* http://store-eu.neurosky.com/products/mindset (149 euro)&lt;br /&gt;
* BSD license Python SDK that works under linux with bluetooth access: https://github.com/groner/pythinkgear&lt;br /&gt;
&lt;br /&gt;
=== Emotiv ===&lt;br /&gt;
&lt;br /&gt;
TODO: describe me!&lt;br /&gt;
&lt;br /&gt;
= BRAIN COMPUTER INTERFACE APPLICATIONS =&lt;br /&gt;
* Computer, robots,... command.&lt;br /&gt;
* Help disable people.&lt;br /&gt;
* BYOU : Bring Your Own Use : the geekier, the better !&lt;br /&gt;
&lt;br /&gt;
Goals : a reliable ON/OFF &amp;quot;button&amp;quot; and a scale model (1...10)  by cognitive task and interfacing with real world (TCP connexion,...).&lt;br /&gt;
&lt;br /&gt;
= SCIENCE =&lt;br /&gt;
&lt;br /&gt;
* Neurosciences : dedicated software for brain functionnal imaging : MRI, near IR, EEG.&lt;br /&gt;
* Large sets of brain generated data available in CSV file format. (40 hours)&lt;br /&gt;
 &lt;br /&gt;
Current steps are : designing experimental tests and results statistic analysis to stronger assess hardware reliability.&lt;br /&gt;
&lt;br /&gt;
= ART =&lt;br /&gt;
&lt;br /&gt;
* Digital arts: music / video live rendering of the brain activity&lt;br /&gt;
* [[DialogueS, EEG project]]&lt;br /&gt;
* Mind controlled...&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
For more about Jackson : [[/tmp/bci/jackson]].&amp;lt;br&amp;gt;&lt;br /&gt;
Comments are also welcome : tmpbci at gmail dot com or [http://bio.tmplab.org/2010/12/prochain-meeting-biohacklab-le-mardi-11-janvier/ on the web (fr)]&lt;/div&gt;</summary>
		<author><name>Ogrisel</name></author>	</entry>

	<entry>
		<id>https://tmplab.org/wiki/index.php?title=Brain_Computer_Interface&amp;diff=3071</id>
		<title>Brain Computer Interface</title>
		<link rel="alternate" type="text/html" href="https://tmplab.org/wiki/index.php?title=Brain_Computer_Interface&amp;diff=3071"/>
				<updated>2011-01-13T16:34:15Z</updated>
		
		<summary type="html">&lt;p&gt;Ogrisel: /* ART */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== /tmp/bci ==&lt;br /&gt;
(Wiki in progress)&amp;lt;br&amp;gt;&lt;br /&gt;
Meta project involving hardware and software in 3 different major fields : Science / Computer Interface / Art&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
The current allinone homebrewed software is made in Rebol and called &amp;quot;Jackson&amp;quot;. A specific version &amp;quot;Jackson LIVE&amp;quot; is a sequencer style live tool available from 1 to zillion brains, for art performance, cooperative &amp;quot;construction&amp;quot; (graphics, sound, command,...). The Rebol option was chosen for dead simple portability and to interface seamlessly local and Internet connexions.&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Currently supported hardware is the Mindset.&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== What's new ? ==&lt;br /&gt;
* Inputs now accepts 2 iphone apps : ITM midilab and Isensor&lt;br /&gt;
* Output now support OSC messaging (OS X only), so can control MIDI, Max/msp, PureData, TouchOSC...&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
= HARDWARE =&lt;br /&gt;
&lt;br /&gt;
== DIY BCI headset ==&lt;br /&gt;
&lt;br /&gt;
* Designing new acquisition devices (efficient, easy to wear, affordable) : Near Infra Red, EEG, Magnetometers, MRI compatible,...&lt;br /&gt;
* Designing signal analyzing electronic boards : FFT, FPGA,..&lt;br /&gt;
* ...&lt;br /&gt;
&lt;br /&gt;
Real brainwaves centered current affordable commercial offers are either too simple (Mindset : ONE dry sensor) or required complex setup (Emotiv: several WET sensors).&lt;br /&gt;
&lt;br /&gt;
== Commercial ready-to-use BCI-kits ==&lt;br /&gt;
&lt;br /&gt;
=== Single EEG sensor headset: NeuroSky Mindset ===&lt;br /&gt;
&lt;br /&gt;
* http://store-eu.neurosky.com/products/mindset (149 euro)&lt;br /&gt;
* BSD license Python SDK that works under linux with bluetooth access: https://github.com/groner/pythinkgear&lt;br /&gt;
&lt;br /&gt;
= BRAIN COMPUTER INTERFACE APPLICATIONS =&lt;br /&gt;
* Computer, robots,... command.&lt;br /&gt;
* Help disable people.&lt;br /&gt;
* BYOU : Bring Your Own Use : the geekier, the better !&lt;br /&gt;
&lt;br /&gt;
Goals : a reliable ON/OFF &amp;quot;button&amp;quot; and a scale model (1...10)  by cognitive task and interfacing with real world (TCP connexion,...).&lt;br /&gt;
&lt;br /&gt;
= SCIENCE =&lt;br /&gt;
&lt;br /&gt;
* Neurosciences : dedicated software for brain functionnal imaging : MRI, near IR, EEG.&lt;br /&gt;
* Large sets of brain generated data available in CSV file format. (40 hours)&lt;br /&gt;
 &lt;br /&gt;
Current steps are : designing experimental tests and results statistic analysis to stronger assess hardware reliability.&lt;br /&gt;
&lt;br /&gt;
= ART =&lt;br /&gt;
&lt;br /&gt;
* Digital arts: music / video live rendering of the brain activity&lt;br /&gt;
* [[DialogueS, EEG project]]&lt;br /&gt;
* Mind controlled...&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
For more about Jackson : [[/tmp/bci/jackson]].&amp;lt;br&amp;gt;&lt;br /&gt;
Comments are also welcome : tmpbci at gmail dot com or [http://bio.tmplab.org/2010/12/prochain-meeting-biohacklab-le-mardi-11-janvier/ on the web (fr)]&lt;/div&gt;</summary>
		<author><name>Ogrisel</name></author>	</entry>

	<entry>
		<id>https://tmplab.org/wiki/index.php?title=Brain_Computer_Interface&amp;diff=3070</id>
		<title>Brain Computer Interface</title>
		<link rel="alternate" type="text/html" href="https://tmplab.org/wiki/index.php?title=Brain_Computer_Interface&amp;diff=3070"/>
				<updated>2011-01-13T16:34:00Z</updated>
		
		<summary type="html">&lt;p&gt;Ogrisel: /* BRAIN COMPUTER INTERFACE APPLICATIONS */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== /tmp/bci ==&lt;br /&gt;
(Wiki in progress)&amp;lt;br&amp;gt;&lt;br /&gt;
Meta project involving hardware and software in 3 different major fields : Science / Computer Interface / Art&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
The current allinone homebrewed software is made in Rebol and called &amp;quot;Jackson&amp;quot;. A specific version &amp;quot;Jackson LIVE&amp;quot; is a sequencer style live tool available from 1 to zillion brains, for art performance, cooperative &amp;quot;construction&amp;quot; (graphics, sound, command,...). The Rebol option was chosen for dead simple portability and to interface seamlessly local and Internet connexions.&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Currently supported hardware is the Mindset.&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== What's new ? ==&lt;br /&gt;
* Inputs now accepts 2 iphone apps : ITM midilab and Isensor&lt;br /&gt;
* Output now support OSC messaging (OS X only), so can control MIDI, Max/msp, PureData, TouchOSC...&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
= HARDWARE =&lt;br /&gt;
&lt;br /&gt;
== DIY BCI headset ==&lt;br /&gt;
&lt;br /&gt;
* Designing new acquisition devices (efficient, easy to wear, affordable) : Near Infra Red, EEG, Magnetometers, MRI compatible,...&lt;br /&gt;
* Designing signal analyzing electronic boards : FFT, FPGA,..&lt;br /&gt;
* ...&lt;br /&gt;
&lt;br /&gt;
Real brainwaves centered current affordable commercial offers are either too simple (Mindset : ONE dry sensor) or required complex setup (Emotiv: several WET sensors).&lt;br /&gt;
&lt;br /&gt;
== Commercial ready-to-use BCI-kits ==&lt;br /&gt;
&lt;br /&gt;
=== Single EEG sensor headset: NeuroSky Mindset ===&lt;br /&gt;
&lt;br /&gt;
* http://store-eu.neurosky.com/products/mindset (149 euro)&lt;br /&gt;
* BSD license Python SDK that works under linux with bluetooth access: https://github.com/groner/pythinkgear&lt;br /&gt;
&lt;br /&gt;
= BRAIN COMPUTER INTERFACE APPLICATIONS =&lt;br /&gt;
* Computer, robots,... command.&lt;br /&gt;
* Help disable people.&lt;br /&gt;
* BYOU : Bring Your Own Use : the geekier, the better !&lt;br /&gt;
&lt;br /&gt;
Goals : a reliable ON/OFF &amp;quot;button&amp;quot; and a scale model (1...10)  by cognitive task and interfacing with real world (TCP connexion,...).&lt;br /&gt;
&lt;br /&gt;
= SCIENCE =&lt;br /&gt;
&lt;br /&gt;
* Neurosciences : dedicated software for brain functionnal imaging : MRI, near IR, EEG.&lt;br /&gt;
* Large sets of brain generated data available in CSV file format. (40 hours)&lt;br /&gt;
 &lt;br /&gt;
Current steps are : designing experimental tests and results statistic analysis to stronger assess hardware reliability.&lt;br /&gt;
&lt;br /&gt;
= ART =&lt;br /&gt;
&lt;br /&gt;
* [[DialogueS, EEG project]]&lt;br /&gt;
* Mind controlled...&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
For more about Jackson : [[/tmp/bci/jackson]].&amp;lt;br&amp;gt;&lt;br /&gt;
Comments are also welcome : tmpbci at gmail dot com or [http://bio.tmplab.org/2010/12/prochain-meeting-biohacklab-le-mardi-11-janvier/ on the web (fr)]&lt;/div&gt;</summary>
		<author><name>Ogrisel</name></author>	</entry>

	<entry>
		<id>https://tmplab.org/wiki/index.php?title=Brain_Computer_Interface&amp;diff=3069</id>
		<title>Brain Computer Interface</title>
		<link rel="alternate" type="text/html" href="https://tmplab.org/wiki/index.php?title=Brain_Computer_Interface&amp;diff=3069"/>
				<updated>2011-01-13T16:33:48Z</updated>
		
		<summary type="html">&lt;p&gt;Ogrisel: /* BRAIN COMPUTER INTERFACE */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== /tmp/bci ==&lt;br /&gt;
(Wiki in progress)&amp;lt;br&amp;gt;&lt;br /&gt;
Meta project involving hardware and software in 3 different major fields : Science / Computer Interface / Art&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
The current allinone homebrewed software is made in Rebol and called &amp;quot;Jackson&amp;quot;. A specific version &amp;quot;Jackson LIVE&amp;quot; is a sequencer style live tool available from 1 to zillion brains, for art performance, cooperative &amp;quot;construction&amp;quot; (graphics, sound, command,...). The Rebol option was chosen for dead simple portability and to interface seamlessly local and Internet connexions.&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Currently supported hardware is the Mindset.&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== What's new ? ==&lt;br /&gt;
* Inputs now accepts 2 iphone apps : ITM midilab and Isensor&lt;br /&gt;
* Output now support OSC messaging (OS X only), so can control MIDI, Max/msp, PureData, TouchOSC...&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
= HARDWARE =&lt;br /&gt;
&lt;br /&gt;
== DIY BCI headset ==&lt;br /&gt;
&lt;br /&gt;
* Designing new acquisition devices (efficient, easy to wear, affordable) : Near Infra Red, EEG, Magnetometers, MRI compatible,...&lt;br /&gt;
* Designing signal analyzing electronic boards : FFT, FPGA,..&lt;br /&gt;
* ...&lt;br /&gt;
&lt;br /&gt;
Real brainwaves centered current affordable commercial offers are either too simple (Mindset : ONE dry sensor) or required complex setup (Emotiv: several WET sensors).&lt;br /&gt;
&lt;br /&gt;
== Commercial ready-to-use BCI-kits ==&lt;br /&gt;
&lt;br /&gt;
=== Single EEG sensor headset: NeuroSky Mindset ===&lt;br /&gt;
&lt;br /&gt;
* http://store-eu.neurosky.com/products/mindset (149 euro)&lt;br /&gt;
* BSD license Python SDK that works under linux with bluetooth access: https://github.com/groner/pythinkgear&lt;br /&gt;
&lt;br /&gt;
= BRAIN COMPUTER INTERFACE APPLICATIONS =&lt;br /&gt;
* Computer, robots,... command.&lt;br /&gt;
* Help disable people.&lt;br /&gt;
* Digital arts: music / video live rendering of the brain activity&lt;br /&gt;
* BYOU : Bring Your Own Use : the geekier, the better !&lt;br /&gt;
&lt;br /&gt;
Goals : a reliable ON/OFF &amp;quot;button&amp;quot; and a scale model (1...10)  by cognitive task and interfacing with real world (TCP connexion,...).&lt;br /&gt;
&lt;br /&gt;
= SCIENCE =&lt;br /&gt;
&lt;br /&gt;
* Neurosciences : dedicated software for brain functionnal imaging : MRI, near IR, EEG.&lt;br /&gt;
* Large sets of brain generated data available in CSV file format. (40 hours)&lt;br /&gt;
 &lt;br /&gt;
Current steps are : designing experimental tests and results statistic analysis to stronger assess hardware reliability.&lt;br /&gt;
&lt;br /&gt;
= ART =&lt;br /&gt;
&lt;br /&gt;
* [[DialogueS, EEG project]]&lt;br /&gt;
* Mind controlled...&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
For more about Jackson : [[/tmp/bci/jackson]].&amp;lt;br&amp;gt;&lt;br /&gt;
Comments are also welcome : tmpbci at gmail dot com or [http://bio.tmplab.org/2010/12/prochain-meeting-biohacklab-le-mardi-11-janvier/ on the web (fr)]&lt;/div&gt;</summary>
		<author><name>Ogrisel</name></author>	</entry>

	<entry>
		<id>https://tmplab.org/wiki/index.php?title=Brain_Computer_Interface&amp;diff=3068</id>
		<title>Brain Computer Interface</title>
		<link rel="alternate" type="text/html" href="https://tmplab.org/wiki/index.php?title=Brain_Computer_Interface&amp;diff=3068"/>
				<updated>2011-01-13T16:32:39Z</updated>
		
		<summary type="html">&lt;p&gt;Ogrisel: /* HARDWARE */  Add mindset  resources&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== /tmp/bci ==&lt;br /&gt;
(Wiki in progress)&amp;lt;br&amp;gt;&lt;br /&gt;
Meta project involving hardware and software in 3 different major fields : Science / Computer Interface / Art&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
The current allinone homebrewed software is made in Rebol and called &amp;quot;Jackson&amp;quot;. A specific version &amp;quot;Jackson LIVE&amp;quot; is a sequencer style live tool available from 1 to zillion brains, for art performance, cooperative &amp;quot;construction&amp;quot; (graphics, sound, command,...). The Rebol option was chosen for dead simple portability and to interface seamlessly local and Internet connexions.&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Currently supported hardware is the Mindset.&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== What's new ? ==&lt;br /&gt;
* Inputs now accepts 2 iphone apps : ITM midilab and Isensor&lt;br /&gt;
* Output now support OSC messaging (OS X only), so can control MIDI, Max/msp, PureData, TouchOSC...&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
= HARDWARE =&lt;br /&gt;
&lt;br /&gt;
== DIY BCI headset ==&lt;br /&gt;
&lt;br /&gt;
* Designing new acquisition devices (efficient, easy to wear, affordable) : Near Infra Red, EEG, Magnetometers, MRI compatible,...&lt;br /&gt;
* Designing signal analyzing electronic boards : FFT, FPGA,..&lt;br /&gt;
* ...&lt;br /&gt;
&lt;br /&gt;
Real brainwaves centered current affordable commercial offers are either too simple (Mindset : ONE dry sensor) or required complex setup (Emotiv: several WET sensors).&lt;br /&gt;
&lt;br /&gt;
== Commercial ready-to-use BCI-kits ==&lt;br /&gt;
&lt;br /&gt;
=== Single EEG sensor headset: NeuroSky Mindset ===&lt;br /&gt;
&lt;br /&gt;
* http://store-eu.neurosky.com/products/mindset (149 euro)&lt;br /&gt;
* BSD license Python SDK that works under linux with bluetooth access: https://github.com/groner/pythinkgear&lt;br /&gt;
&lt;br /&gt;
= BRAIN COMPUTER INTERFACE =&lt;br /&gt;
* Computer, robots,... command.&lt;br /&gt;
* Help disable people.&lt;br /&gt;
* BYOU : Bring Your Own Use : the geekier, the better !&lt;br /&gt;
&lt;br /&gt;
Goals : a reliable ON/OFF &amp;quot;button&amp;quot; and a scale model (1...10)  by cognitive task and interfacing with real world (TCP connexion,...).&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
= SCIENCE =&lt;br /&gt;
&lt;br /&gt;
* Neurosciences : dedicated software for brain functionnal imaging : MRI, near IR, EEG.&lt;br /&gt;
* Large sets of brain generated data available in CSV file format. (40 hours)&lt;br /&gt;
 &lt;br /&gt;
Current steps are : designing experimental tests and results statistic analysis to stronger assess hardware reliability.&lt;br /&gt;
&lt;br /&gt;
= ART =&lt;br /&gt;
&lt;br /&gt;
* [[DialogueS, EEG project]]&lt;br /&gt;
* Mind controlled...&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
For more about Jackson : [[/tmp/bci/jackson]].&amp;lt;br&amp;gt;&lt;br /&gt;
Comments are also welcome : tmpbci at gmail dot com or [http://bio.tmplab.org/2010/12/prochain-meeting-biohacklab-le-mardi-11-janvier/ on the web (fr)]&lt;/div&gt;</summary>
		<author><name>Ogrisel</name></author>	</entry>

	</feed>