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Wang TINS 2001 Wang Neuron 2002 An integrated microcircuit model of working memory and decision making
Lorente de Nó’s reverberatory circuit
Roitman and Shadlen 2002
Reaction Time Task
2-population excitatory and inhibitory neurons (integrate-and-fire or conductance-based Hodgkin-Huxley neurons) Biologically realistic synaptic kinetics (AMPA, NMDA and GABA A ) Structured network connectivity
Reaction Time Simulations
Data by J Roitman, J Ditterich and M Shadlen Reaction time decreases with increasing coherence Weber's Law
Integrate-and-Decide (diffusion) Model R Ratcliff (Psychol Rev 1978) J Schall (Nature Rev Neurosci 2001) Mazurek et al (Cereb Cortex 2003)
c’=6.4% c’=51.2% c’=100%
D Munoz and R Wurtz Fixation Target A bursty neuron in superior colliculus But how is threshold-crossing readout by downstream neurons?
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A Large-scale Network Model of Decision-Making Cortex Caudate SNr SC
LIP Network SC Network
Threshold can be effectively modulated by the cortico-striatal synaptic pathway
Adjusting the threshold to optimize rewards: Speed-accuracy tradeoff
Optimal threshold should be adjustable according to the distribution of coherence levels in the environment
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