(note wiki contains some useful clues re previous neuro research at Noisebridge ... For example, the Analog_EEG_Amp page describes some project ideas and work done by others here in 2012)
Discussion agenda as of 21 August 2013 - proposal to explore readings relating to all of that funny heady heavy Statistical and other Mathematical Methods for EEG Analysis (& maybe other areas of computational neuroscience research in general) .... Stuff and nonsense. And statistics.
Some articles etc for inspection and selection if worthwhile material for more in-depth study of math, analytical methods and models, etc:
http://neuro.hut.fi/~pavan/home/Hyvarinen2010_FourierICA_Neuroimage.pdf - "Independent component analysis of short-time Fourier transforms for spontaneous EEG/MEG analysis" -- Aapo Hyvarinen, Pavan Ramkumar, Lauri Parkkonen, Riitta Hari - paper published in Neuroimage vol 49 (2010)
OpenSource Machine Learning Algs from NG @MIT
Consumer grade EEG used to see "P300" reponse and for thoes with a short attention span tldr
(discussed at meetup Wednesday 31 July 2013)
"Coherent EEG Indicators of Cognitive Binding During Ambiguous Figure Tasks" Klemm, Li, and Hernandez 2000
"We tested the hypothesis that perception of an alternative image in ambiguous figures would be manifest as high-frequency (gamma) components that become synchronized over multiple scalp sites as a "cognitive binding" process occurs."
"Hobson and McCarley originally proposed in the 1970s that the differences in the waking-NREM-REM sleep cycle was the result of interactions between aminergic REM-off cells and cholinergic REM-on cells. This was perceived as the activation-synthesis model, stating that brain activation during REM sleep results in synthesis of dream creation. Hobson's five cardinal characteristics include: intense emotions, illogical content, apparent sensory impressions, uncritical acceptance of dream events, and difficulty in being remembered."
(following previous discussion) - we might select a few to study in more depth (... or not! Plenty more to explore - suggestions (random or otherwise) are welcome.
some (maybe) interesting background on Information Theory (cool title...)
Claude Shannon: "Communication in the Presence of Noise" File:Shannon noise.pdf "We will call a system that transmits without errors at the rate C an ideal system. Such a system cannot be achieved with any finite encoding process but can be approximated as closely as desired."
wikipedia etc quick reads:
https://en.wikipedia.org/wiki/Eeg https://en.wikipedia.org/wiki/Neural_synchronization https://en.wikipedia.org/wiki/Event-related_potentials http://www.scholarpedia.org/article/Spike-and-wave_oscillations http://www.scholarpedia.org/article/Thalamocortical_oscillations
Morgan from GazzLab @ MissionBay/UCSF
Let's ease into a lightweight "journal club" discussion with this technical report from NeuroSky.
Name: A user-friendly SSVEP-based brain-computer interface using a time-domain classifier, Luo A and Sullivan TJ 2010
Please add your comments & questions here.
http://nanosouffle.net/ (view into Arxiv.org)
Name: Hunting for Meaning after Midnight, Miller 2007
Name: Broken mirrors, Ram, VS, & Oberman, LM, 2006, Nov