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Behavioral/Systems/Cognitive Integrated Neural Processes for Defining Potential Actions
 

Summary: Behavioral/Systems/Cognitive
Integrated Neural Processes for Defining Potential Actions
and Deciding between Them: A Computational Model
Paul Cisek
Department of Physiology, University of MontreŽal, MontreŽal, QueŽbec, Canada H3C 3J7
To successfully accomplish a behavioral goal such as reaching for an object, an animal must solve two related problems: to decide which
objecttoreachandtoplanthespecificparametersofthemovement.Traditionally,thesetwoproblemshavebeenviewedasseparate,and
theoriesofdecisionmakingandmotorplanninghavebeendevelopedprimarilyindependently.However,neuraldatasuggeststhatthese
processes involve the same brain regions and are performed in an integrated manner. Here, a computational model is described that
addresses both the question of how different potential actions are specified and how the brain decides between them. In the model,
multiple potential actions are simultaneously represented as continuous regions of activity within populations of cells in frontoparietal
cortex.Theserepresentationsengageinacompetitionforovertexecutionthatisbiasedbymodulatoryinfluencesfromprefrontalcortex.
The model neural populations exhibit activity patterns that correlate with both the spatial metrics of potential actions and their associ-
ated decision variables, in a manner similar to activities in parietal, prefrontal, and premotor cortex. The model therefore suggests an
explanationforneuraldatathathavebeenhardtoaccountforintermsofserialtheoriesthatproposethatdecisionmakingoccursbefore
actionplanning.Inadditiontosimulatingtheactivityofindividualneuronsduringdecisiontasks,themodelalsoreproduceskeyaspects
of the spatial and temporal statistics of human choices and makes a number of testable predictions.
Key words: decision making; planning; cognition; cerebral cortex; computational model; neural coding
Introduction
Traditional psychological theories have viewed decision making

  

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

 

Collections: Computer Technologies and Information Sciences