We will be meeting again on Wednesday May 8th at 6:30 PM
May 1, 2013 Meeting Notes
Present: Johny, Daglan, John, Thomas, Aly, Jade, Dan, Kevin, Rohan
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
- 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
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
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 @ email@example.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
[Neuro] Coming soon to Noisebridge - The Dream Team bfb at riseup.net Wed Apr 24 18:00:00 UTC 2013
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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.
This is the EEG device. Specs included.
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.
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.
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.