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Wang TINS 2001 Wang et al PNAS 2004 Wang Neuron 2002 400ms

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400ms. Wang TINS 2001 Wang et al PNAS 2004. Wang Neuron 2002. Lorente de Nó’s reverberatory circuit. Levitt et al 1993 Kritzer and Goldman-Rakic 1995 Pucak et al 1996. Summary. - PowerPoint PPT Presentation

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Page 1: Wang TINS 2001 Wang et al PNAS 2004

Wang TINS 2001Wang et al PNAS 2004 Wang Neuron 2002

400ms

Page 2: Wang TINS 2001 Wang et al PNAS 2004

Lorente de Nó’s reverberatory circuit

Levitt et al 1993Kritzer and Goldman-Rakic 1995Pucak et al 1996

Page 3: Wang TINS 2001 Wang et al PNAS 2004

Summary

• Working memory storage and decision-making computations: shared microcircuit mechanisms in a local cortical (e.g. prefrontal, parietal, premotor) area. Coherent fast oscillation may be a common signature of the engagement of strongly recurrent network dynamics.

• Detection of threshold-crossing: a mode of communication between brain areas, for gating information flow or selecting a motor action.

• Reward-gated Hebbian plasticity in a decision network: a cellular basis of flexible sensori-motor mapping.

Page 4: Wang TINS 2001 Wang et al PNAS 2004

Probabilistic decision-making in a visual motion two-alternative forced choice task

Page 5: Wang TINS 2001 Wang et al PNAS 2004

W Newsome

Page 6: Wang TINS 2001 Wang et al PNAS 2004

Roitman and Shadlen 2002

Page 7: Wang TINS 2001 Wang et al PNAS 2004

• 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

Brunel & Wang JCNS2001

Wang Neuron 2002

Page 8: Wang TINS 2001 Wang et al PNAS 2004

Dynamical stability and NMDA/AMPA

ratio at the recurrent synapses

C D RWang J Neurosci 1999

Compte, Brunel, Goldman-Rakic,Wang Cereb Cortex 2000

Brunel and Wang J Neurophysiol 2003

Page 9: Wang TINS 2001 Wang et al PNAS 2004

• 2-population excitatory and inhibitory neurons (integrate-and-fire or conductance-based neurons)

• Biologically realistic synaptic kinetics (AMPA, NMDA and GABA

A)

• Structured network connectivity

Brunel & Wang JCNS2001

Wang Neuron 2002

Page 10: Wang TINS 2001 Wang et al PNAS 2004

MT output

Page 11: Wang TINS 2001 Wang et al PNAS 2004

Reaction Time Simulations

Page 12: Wang TINS 2001 Wang et al PNAS 2004

Model

Data

Page 13: Wang TINS 2001 Wang et al PNAS 2004

Data by J Roitman, J Ditterich and M Shadlen

Reaction time decreases with increasing coherence Weber's Law

Page 14: Wang TINS 2001 Wang et al PNAS 2004

Scale-invariance of the reaction time distributions

c’=51.2%c’=0%

Page 15: Wang TINS 2001 Wang et al PNAS 2004

Integrate-and-Decide (diffusion) Model

J Schall (Nature Rev Neurosci 2001)

But how is threshold-crossing readout by downstream neurons?

Page 16: Wang TINS 2001 Wang et al PNAS 2004

Flexible sensori-motor association

(with Stefano Fusi)

Page 17: Wang TINS 2001 Wang et al PNAS 2004

Flexible Sensori-motor Association

(Asaad, Rainer and Miller Neuron 1998, Wise and Murray TINS 2000)

Page 18: Wang TINS 2001 Wang et al PNAS 2004

Locus and biophysical basis of reward-gated synaptic plasticity?

Page 19: Wang TINS 2001 Wang et al PNAS 2004

Summary

• Working memory storage and decision-making computations: shared microcircuit mechanisms in a local cortical (e.g. prefrontal, parietal, premotor) area. Coherent fast oscillation may be a common signature of the engagement of strongly recurrent network dynamics.

• Detection of threshold-crossing: a mode of communication between brain areas, for gating information flow or selecting a motor action.

• Reward-gated Hebbian plasticity in a decision network: a cellular basis of flexible sensori-motor mapping.