Arpan Banerjee Research Fellow National Institute of Deafness and Other Communication Disorders National Institutes of Health, USA.

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Presentation transcript:

Arpan Banerjee Research Fellow National Institute of Deafness and Other Communication Disorders National Institutes of Health, USA

Florida Atlantic University Viktor Jirsa Scott Kelso Emmanuelle Tognoli Armin Fuchs Ajay Pillai New York University Bijan Pesaran Heather Dean Swartz foundation National Institutes of Health Barry Horwitz Ajay Pillai Jessica Gilbert Jason Smith Shmuel Appel Justin Sperling Johns Hopkins University Dana Boatman

Sensory processingMovement planning/ Decision making Eye-hand coordination

Time Information processing stages (Donders, 1873; Sternberg, 1969) Sensory processingAttention/ memory retrieval Decision makingEye-hand coordination

 Brain lesions & cognitive neuropsychology  Electrophysiological recordings in primates (cellular level)  Pharmacological and genetic studies  Transcranial magnetic stimulation  Functional neuroimaging Hemodynamic-metabolic methods (PET, fMRI) Electromagnetic methods (EEG, MEG)

Courtesy: NIH MEG Core website

Wright & Kydd (Courtesy Niko Schiff)

InputOutput Intrinsic dynamics Neural tissue Input, intrinsic dynamics and output

Dorsal (where) pathway Ventral (what) pathway All this stuff happens trial by trial ! (Remember batting)Milner & Goodale Posner 1975

SRT: Saccade reaction time RRT: Reach reaction time Eye position Hand position Go Cue SRT RRT Baseline Location cue on Go Cue Target acquire

Firing rate (Hz) Some numbers: For spikes electric potential is filtered between 1-24 kHz For fields low pass-filter of Hz is used

Methods used earlier Spikes: Surprise Index on the level of single trials. Hanes et. al 1995 msec by msec ANOVA (Spike Activity X Target location) Monosov et.al Fields: msec by msec ANOVA (LFP Activity X Target location) Monosov et.al. 2008, Emeric, Schall 2008 No systematic framework exists to bridge spikes-fields: different statistical properties

 Alan Turing

Banerjee, Dean, Pesaran 2010 AccLLR: Accumulated log-likelihood ratio Turing WWII (Classified) Wald and Wolfowitz, 1948

Input driven spike trains Input

Time from Go Cue (ms) Banerjee, Dean, Pesaran (In prep)

Input driven LFP activity Input

Time from Go Cue (ms) Banerjee, Dean, Pesaran ( In prep)

Banerjee, Dean, Pesaran Frontiers in Neuroscience Abs 2010

No history With history

 Decoded target selection times trial- by- trial from univariate recordings.

 Error rates are lower for fields.  Spike-field-behavior correlations help evaluate the information processing role of a particular brain area.

 Experimental task

 Multivariate models to deal with distributed large-scale information processing Microscopic: Spikes, LFP Macroscopic: EEG

Single trial decoding of EEG/ MEG signals