Presentation 2007-03-14
Inhibition-dominated network can explain multistability and highly irregular states in prefrontal cortex activity
Kosuke HAMAGUCHI, Nicolas BRUNEL,
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Abstract(in English) During the delay response tasks of monkeys, some cells in the prefrontal cortex show cue position dependent persistent activity during the delay periods. Recent analysis of these spike data has shown that the degree of spiking irregularity is also high during the persistent activity. The high spike irregularity can be obtained by the external input with balanced excitation and inhibition. It is, however, not easy to obtain the self-sustained states with the balanced input because the mean level of recurrent input is not depolarizing. Here it remains unclear how to achieve simultaneously bistability and high spike train irregularity. Here we report the followings 1) Hopf-bifurcation lines exist before the bistable region which is calculated from the self-consistent analysis for Leaky Integrate-and-Fire (LIF) neuron with instantaneous synapses. This indicates that the bistability is unstable in numerical simulations. 2) The self-consistent analysis for the LIF neuron network with exponential-decay synapses shows the bistable phase of localized bump states and quiescent states even in the inhibition-dominated region with sub-threshold external input. Numerical simulations also show the bistability and high CV in these regions.
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Keyword(in English) Multistability / CV / Fokker-Planck equation / Prefrontal cortex / Inhibition
Paper # NC2006-127
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Committee NC
Conference Date 2007/3/7(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Inhibition-dominated network can explain multistability and highly irregular states in prefrontal cortex activity
Sub Title (in English)
Keyword(1) Multistability
Keyword(2) CV
Keyword(3) Fokker-Planck equation
Keyword(4) Prefrontal cortex
Keyword(5) Inhibition
1st Author's Name Kosuke HAMAGUCHI
1st Author's Affiliation RIKEN, Brain Science Institute:Laboratoire de Neurophysique et Physiologic, UMR 8119 CNRS-Universite Rene Descartes()
2nd Author's Name Nicolas BRUNEL
2nd Author's Affiliation Laboratoire de Neurophysique et Physiologie, UMR 8119 CNRS-Universite Rene Descartes
Date 2007-03-14
Paper # NC2006-127
Volume (vol) vol.106
Number (no) 588
Page pp.pp.-
#Pages 6
Date of Issue