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Paul Cisek Neural model of decision-making and planning Page S1 INTEGRATED NEURAL PROCESSES FOR DEFINING POTENTIALACTIONS
 

Summary: Paul Cisek Neural model of decision-making and planning Page S1
INTEGRATED NEURAL PROCESSES FOR DEFINING POTENTIALACTIONS
AND DECIDING BETWEEN THEM: A COMPUTATIONAL MODEL
Paul Cisek
Department of physiology
University of Montréal
C.P. 6128 Succursale Centre-ville
Montréal, Québec H3C 3J7 Canada
Phone: 514-343-6111 x4355
FAX: 514-343-2111
e-mail: paul.cisek@umontreal.ca
Supplemental Material
Modeling approach
In any modeling effort, one is faced with a tradeoff between tractability and physiological realism. The
model presented below is aimed at implementing the hypotheses described in the main text at a level of
detail just sufficient to capture the neurophysiological and behavioral phenomena of interest. These
phenomena include response patterns over populations of cells in specific regions of the cerebral cortex, but
do not include the precise spiking behavior of individual cell types in individual cortical layers. Thus, neural
activity is represented simply as average firing rates (as opposed to membrane potentials or spikes), which
rise and fall as non-linear functions of excitation, inhibition, and noise. Each cortical region is implemented

  

Source: Andrzejak, Ralph Gregor - Departament de Tecnologia, Universitat Pompeu Fabra

 

Collections: Computer Technologies and Information Sciences