1 / 19

Wang TINS 2001 Wang et al PNAS 2004

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.

kael
Download Presentation

Wang TINS 2001 Wang et al PNAS 2004

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. 400ms Wang TINS 2001 Wang et al PNAS 2004 Wang Neuron 2002

  2. Lorente de Nó’s reverberatory circuit Levitt et al 1993 Kritzer and Goldman-Rakic 1995 Pucak et al 1996

  3. 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.

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

  5. W Newsome

  6. Roitman and Shadlen 2002

  7. 2-population excitatory and inhibitory neurons (integrate-and-fire or conductance-based Hodgkin-Huxley neurons) • Biologically realistic synaptic kinetics (AMPA, NMDA and GABAA) • Structured network connectivity Brunel & Wang JCNS2001 Wang Neuron 2002

  8. Dynamical stability and NMDA/AMPA ratio at the recurrent synapses Wang J Neurosci 1999 Compte, Brunel, Goldman-Rakic, Wang Cereb Cortex 2000 Brunel and Wang J Neurophysiol 2003 C D R

  9. 2-population excitatory and inhibitory neurons (integrate-and-fire or conductance-based neurons) • Biologically realistic synaptic kinetics (AMPA, NMDA and GABAA) • Structured network connectivity Brunel & Wang JCNS2001 Wang Neuron 2002

  10. MT output

  11. Reaction Time Simulations

  12. Model Data

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

  14. Scale-invariance of the reaction time distributions c’=0% c’=51.2%

  15. Integrate-and-Decide (diffusion) Model J Schall (Nature Rev Neurosci 2001) But how is threshold-crossing readout by downstream neurons?

  16. Flexible sensori-motor association (with Stefano Fusi)

  17. Flexible Sensori-motor Association (Asaad, Rainer and Miller Neuron 1998, Wise and Murray TINS 2000)

  18. Locus and biophysical basis of reward-gated synaptic plasticity?

  19. 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.

More Related