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== May 1, 2013 Meeting Notes ==
== Literature & Other Resources ==
see [[DreamTeam/Reading]] for journal articles etc.


[https://orbit.puzzlebox.info/tracker/wiki Puzzlebox repo/tracker]
GDF Standards:
<br> [http://arxiv.org/abs/cs.DB/0608052 GDF Data Standards]
<br> [http://www.bcistandards.org/ Tobi Project => BCI Standards]
European Data Format:
<br> http://www.edfplus.info/downloads/index.html
<br> https://github.com/breuderink/eegtools
<br> http://www.neurotraces.com/edf/
== Code ==
[[DreamTeam/pastebin]]
[[File:Plex.txt]] data acquisition for neurosky mindwave - starting to shape up ...
== IBVA Port ==
Sucessfully built and ran IVBA source (Aug 11, 2013). Key steps below.
1. Root directory of application must be /Developer/Examples/IBVAV4F5Apr12all
<br> 2. [http://cocoabob.net/?p=1032 Installing Xcode 3.2.6 on Mountian Lion] and don't try taking shortcuts... 3.2.1 crashes on run-time when trying to load the project.
== Data ==
We have 650MB of data taken from [[party]] (Aug. 10, 2013).. Where to upload?
<br>[[File:20130516233839.txt]]
<br>[[File:20130516233839-1.txt]]
== Events on the Horizon ==
[https://sudoroom.org/ai1ec_event/hackyourphd-open-knowledge-meetup/?instance_id=66319, HackYourPhd, SudoRoom, Thursday 7/25]
== Meeting Notes ==
=== June 19, 2013 ===
[http://www.meetup.com/braindjvj/events/119780592/ Meetup@TechShop, 2013/06/19]
=== May 15, 2013 ===
"journal club" discussion to better understand a technical report from NeuroSky - see [[DreamTeam/Reading#Current_Discussion]]
=== May 8, 2013 ===
a small group studied data from the MindWave device and [https://github.com/nbdt hacked on code] to handle (so-called) "timestamps" more realistically ...
=== May 1, 2013 ===
Present: Johny, Daglan, John, Thomas, Aly, Jade, Dan, Kevin, Rohan
Present: Johny, Daglan, John, Thomas, Aly, Jade, Dan, Kevin, Rohan


Nightmare or not classifier?
Recorded: https://www.noisebridge.net/wiki/File:SampleEEGdata20130501.txt


delta 1-4Hz
Understanding dreams via EEG readout
theta 4-7Hz
Nightmare or not classifier, a good place to start
alpha 6-12Hz
low beta 12-15Hz normal focus
mid beta 16-22Hz high focus
high beta 22-24Hz anxiety muscle artifact shortcoming of eeg


peak freq marker of stress
delta 1-4Hz
theta 4-7Hz
alpha 6-12Hz
low beta 12-15Hz normal focus
mid beta 16-22Hz high focus
high beta 22-24Hz anxiety muscle artifact shortcoming of eeg
 
peak freq marker of stress


Rohan will look up information on EEG
Rohan will look up information on EEG
Line 19: Line 72:
There will be a burning man device that will be controlled by an EEG headset
There will be a burning man device that will be controlled by an EEG headset


Brain-o-cate --> interactive video game focused on teaching children about the brain
[http://www.brainocate.com/ Brain-o-cate] --> interactive video game focused on teaching children about the brain


Zeo headband EEG made for sleep
[http://www.myzeo.com/sleep/ Zeo] headband EEG made for sleep


We like more sensors and high data quality and comfort
We like more sensors and high data quality and comfort
Line 28: Line 81:


Signal localization
Signal localization
    Grid array sensor
*Grid array sensor
    Seizure localization 164/256 sensors on the brain, 1/2" apart
*Seizure localization 164/256 sensors on the brain, 1/2" apart
    32 channel EEG on the surface to get a picture
*32 channel EEG on the surface to get a picture
        ElectroCap has cap with 64 sensor places
**ElectroCap has cap with 64 sensor places


EEG correlate for REM
EEG correlate for REM
    States
*States
 
http://brainstorms.puzzlebox.info/
LEDs on the HSNPs
LEDs on the HSNPs
    Glow different colors by brain state
*Glow different colors by brain state


Convert brain waves to audio spectrum
Convert brain waves to audio spectrum
    MIDI tones, 4-8Hz offset ==> induce activity
*MIDI tones, 4-8Hz offset ==> induce activity
    Musical Insturment Digital Interface
*Musical Insturment Digital Interface
        Feeback loops
**Feeback loops
        Would have to compensate for delay between the reading device and audio device
**Would have to compensate for delay between the reading device and audio device


Classify audio waves via brain monitoring
Classify audio waves via brain monitoring


What is the difference between vision/hearing and dreaming or thinking on music in the brain?
What is the difference between vision/hearing and dreaming or thinking on music in the brain?
    dtMRI - detects neuronal activity, by neuron strands
*dtMRI - detects neuronal activity, by neuron strands


Thermal infrared camera to monitor blood-flow in the brain
Thermal infrared camera to monitor blood-flow in the brain


    IR cameras to measure full specture, rather than stricly amplitude
IR cameras to measure full specture, rather than stricly amplitude
    Could construct a small array of infrared sensors -- more economic
Could construct a small array of infrared sensors -- more economic
 
==Project Ideas==


Send EEG data recorded during the meeting
Send EEG data recorded during the meeting
    Guess who was wearing the device
*Guess who was wearing the device
 
*See Attached
(Jade, Keivn, Thomas (3400s))


Rohan has 9 months of EEG data from Hymalayas
Rohan has 9 months of EEG data from Hymalayas
    Has built a meditation classifier from raw Neuro Sky data
*Has built a meditation classifier from raw Neuro Sky data


Dan would like to have real-time display, in form of LEDs on cap, that reflects EEG data
Dan would like to have real-time display, in form of LEDs on cap, that reflects EEG data
    Feedback loop between two people wearing LED caps
*Feedback loop between two people wearing LED caps


Brian with badasslighting and dept of spontaneous combustion
Brian with badasslighting and [http://www.americansteelstudios.com/2013/department-of-spontaneous-combustion-awarded-burning-man-grant dept of spontaneous combustion]
     host open night in W Oakland, teach welding, art, construction
     host open night in W Oakland, teach welding, art, construction
     steel walk-in structure with neurons and synapses of LEDs in acrlyic tubes
     steel walk-in structure with neurons and synapses of LEDs in acrlyic tubes
Line 78: Line 132:


Johny wants to convert brain data into music
Johny wants to convert brain data into music
    translation technique
*translation technique
    dream sounds outside the HSNPs
*dream sounds outside the HSNPs


Space craft does ambient electronic music
Space craft does ambient electronic music


Max Queue is an astronaut headed band
Max Queue is an astronaut headed band
==Background==


https://www.noisebridge.net/pipermail/neuro/2013-April/000791.html
https://www.noisebridge.net/pipermail/neuro/2013-April/000791.html
Line 151: Line 207:


-Kevin
-Kevin
-----
[[Category:Neuro]]

Revision as of 21:08, 15 August 2013

Literature & Other Resources

see DreamTeam/Reading for journal articles etc.

Puzzlebox repo/tracker

GDF Standards:
GDF Data Standards
Tobi Project => BCI Standards

European Data Format:
http://www.edfplus.info/downloads/index.html
https://github.com/breuderink/eegtools
http://www.neurotraces.com/edf/

Code

DreamTeam/pastebin

File:Plex.txt data acquisition for neurosky mindwave - starting to shape up ...

IBVA Port

Sucessfully built and ran IVBA source (Aug 11, 2013). Key steps below.

1. Root directory of application must be /Developer/Examples/IBVAV4F5Apr12all
2. Installing Xcode 3.2.6 on Mountian Lion and don't try taking shortcuts... 3.2.1 crashes on run-time when trying to load the project.


Data

We have 650MB of data taken from party (Aug. 10, 2013).. Where to upload?
File:20130516233839.txt
File:20130516233839-1.txt

Events on the Horizon

HackYourPhd, SudoRoom, Thursday 7/25

Meeting Notes

June 19, 2013

Meetup@TechShop, 2013/06/19

May 15, 2013

"journal club" discussion to better understand a technical report from NeuroSky - see DreamTeam/Reading#Current_Discussion

May 8, 2013

a small group studied data from the MindWave device and hacked on code to handle (so-called) "timestamps" more realistically ...

May 1, 2013

Present: Johny, Daglan, John, Thomas, Aly, Jade, Dan, Kevin, Rohan

Recorded: https://www.noisebridge.net/wiki/File:SampleEEGdata20130501.txt
Understanding dreams via EEG readout
Nightmare or not classifier, a good place to start
delta 1-4Hz
theta 4-7Hz
alpha 6-12Hz
low beta 12-15Hz normal focus
mid beta 16-22Hz high focus
high beta 22-24Hz anxiety muscle artifact shortcoming of eeg
peak freq marker of stress

Rohan will look up information on EEG

There will be a burning man device that will be controlled by an EEG headset

Brain-o-cate --> interactive video game focused on teaching children about the brain

Zeo headband EEG made for sleep

We like more sensors and high data quality and comfort

Computational neuro science on coursera

Signal localization

  • Grid array sensor
  • Seizure localization 164/256 sensors on the brain, 1/2" apart
  • 32 channel EEG on the surface to get a picture
    • ElectroCap has cap with 64 sensor places

EEG correlate for REM

  • States

http://brainstorms.puzzlebox.info/ LEDs on the HSNPs

  • Glow different colors by brain state

Convert brain waves to audio spectrum

  • MIDI tones, 4-8Hz offset ==> induce activity
  • Musical Insturment Digital Interface
    • Feeback loops
    • Would have to compensate for delay between the reading device and audio device

Classify audio waves via brain monitoring

What is the difference between vision/hearing and dreaming or thinking on music in the brain?

  • dtMRI - detects neuronal activity, by neuron strands

Thermal infrared camera to monitor blood-flow in the brain

IR cameras to measure full specture, rather than stricly amplitude Could construct a small array of infrared sensors -- more economic

Project Ideas

Send EEG data recorded during the meeting

  • Guess who was wearing the device
  • See Attached

Rohan has 9 months of EEG data from Hymalayas

  • Has built a meditation classifier from raw Neuro Sky data

Dan would like to have real-time display, in form of LEDs on cap, that reflects EEG data

  • Feedback loop between two people wearing LED caps

Brian with badasslighting and dept of spontaneous combustion

   host open night in W Oakland, teach welding, art, construction
   steel walk-in structure with neurons and synapses of LEDs in acrlyic tubes
   0.3W LEDs all over the place
   raspberry pi
   flame effects for quiet mind
   "processing" python tool to mix RP with picture
   looking for a developers to workout the details of nero-data to brain lights
   American Steel, Mandela and 20th, open house
   Contact Brian if interested @ 415-509-2100/bkrawitz@gmail.com

Johny wants to convert brain data into music

  • translation technique
  • dream sounds outside the HSNPs

Space craft does ambient electronic music

Max Queue is an astronaut headed band

Background

https://www.noisebridge.net/pipermail/neuro/2013-April/000791.html


[Neuro] Coming soon to Noisebridge - The Dream Team bfb at riseup.net Wed Apr 24 18:00:00 UTC 2013

   Previous message: [Neuro] Neuro Digest, Vol 31, Issue 3
   Messages sorted by: [ date ] [ thread ] [ subject ] [ author ]

Hello Noisebridge!

We shall meet on Wednesday, May 1, at 6:30, because we're all stars! Python class is over, now let's put that good know-how to work on some maths and science stuffs. There may also be comestibles, just this once.

Come down to the 6:30 share-a-thon. Discuss your dreams and other applications of neuron-monitoring devices. I want to investigate lexical dream content and brainwaves of people all over the planet, starting with Noisebridge. Thus far, I have an EEG device and a semi-incomplete research facility (HSNPs).

To get up to speed with what I've been looking into read on. And all you varied neuro-hackers out there please do go to the brainliner.jp site, it's amazing.

I've attached a copy of a sample data set taken while writing this message. Also attached is a screen shot of the GUI that the python scripts create. The scripts run great on Debian. The dongle that comes with the device has an antenna to pick-up the WiFi transmissions from the device. It opens the right sockets, makes a few hand shakes, and promptly peaces out. Neurosky purports the device will give a good signal up to 10m. It spews ~500 measures per second.

https://github.com/akloster/python-mindwave

This is the EEG device. Specs included.

http://store.neurosky.com/products/mindwave-1

And here's a link to Yukiyasu Kamitani's landing page with ATR, Advanced Telecommunications Research Institute International. He's head of the Department of Neuroinfomatics, and lead reacher on the publication below. They are working on predicting dream sequences from EEG and MRI data taken while asleep.

http://www.cns.atr.jp/dni/en/members/kamitani_e/ http://www.cns.atr.jp/dni/en/publications/

Kanitani and others are open-sourcing a good bit of their work. See git hub repository and standardized repository for sharing neuro-data below. They're set-up to run in Mat Lab, but w/e.

Really, go to brainliner and then giggle crescendoing into mad-scientist roar.

http://brainliner.jp/ https://github.com/ATR-DNI/VBCCA

And finally, to pass on a message from a friend, because it's open in my browser and seems appropriate. https://raw.github.com/videlalvaro/gifsockets/master/doc/mybrain.gif

See you Wednesday.

-Kevin