(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)
(21 August 2013) - readings relating statistical (etc math / signal processing / pattern recognition / machine learning) methods for EEG data interpretation. A lot of stuff, a bit of nonsense ... and ... statistics!
Would be good to identify any papers suitable for more in-depth study. Currently have a wide field to graze for selections:
File:DWTandFFTforEEG.pdf "EEG Classifier using Fourier Transform and Wavelet Transform" -- Maan Shaker, 2007
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)
File:Schak99InstantaneousCoherenceStroopTask.pdf -- "Instantaneous EEG Coherence Analysis During the Stroop Task" -- Schack et al 1999
File:KulaichevCoherence.pdf -- "The Informativeness of Coherence Analysis in EEG Studies" -- A. P. Kulaichev 2009 note: interesting critical perspective re limitations, discussion of alternative analytics
File:ContinuousAndDiscreteWaveletTransforms.pdf -- review of (pre-1990) wavelet literature -- Christopher Heil and David Walnut, 1989
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