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Wang TINS 2001 Wang Neuron 2002 An integrated microcircuit model of working memory and decision making.

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Presentation on theme: "Wang TINS 2001 Wang Neuron 2002 An integrated microcircuit model of working memory and decision making."— Presentation transcript:

1 Wang TINS 2001 Wang Neuron 2002 An integrated microcircuit model of working memory and decision making

2 Lorente de Nó’s reverberatory circuit

3 Roitman and Shadlen 2002

4 Reaction Time Task

5 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

6 MT output

7 Reaction Time Simulations

8 Model Data

9 Data by J Roitman, J Ditterich and M Shadlen Reaction time decreases with increasing coherence Weber's Law

10 Integrate-and-Decide (diffusion) Model R Ratcliff (Psychol Rev 1978) J Schall (Nature Rev Neurosci 2001) Mazurek et al (Cereb Cortex 2003)

11 Kong-Fatt Wong

12

13 c’=6.4% c’=51.2% c’=100%

14 D Munoz and R Wurtz Fixation Target A bursty neuron in superior colliculus But how is threshold-crossing readout by downstream neurons?

15 Bistability: hard threshold detection

16 Chung-Chuan Lo Feedback Inhibition: Bursting

17 A Large-scale Network Model of Decision-Making Cortex Caudate SNr SC

18 LIP Network SC Network

19

20 Threshold can be effectively modulated by the cortico-striatal synaptic pathway

21 Adjusting the threshold to optimize rewards: Speed-accuracy tradeoff

22 Optimal threshold should be adjustable according to the distribution of coherence levels in the environment

23 End


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