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High-conductance states in a mean-field cortical network model

Authors
Publisher
Elsevier BV
Publication Date
Keywords
  • Measured Responses From Visual Cortical Neurons Show That Spike Times Tend To Be Correlated Rather T
  • Fano Factors Vary And Are Usually Greater Than 1
  • Indicating A Tendency Toward Spikes Being Clustered
  • We Show That This Behavior Emerges Naturally In A Balanced Cortical Network Model With Random Connec
  • We Employ Mean-Field Theory With Correctly Colored Noise To Describe Temporal Correlations In The Ne
  • Our Results Illuminate The Connection Between Two Independent Experimental Findings: High-Conductanc
  • And Variable Non-Poissonian Spike Statistics With Fano Factors Greater Than 1
  • Measured Responses From Visual Cortical Neurons Show That Spike Times Tend To Be Correlated Rather T
  • Fano Factors Vary And Are Usually Greater Than 1
  • Indicating A Tendency Toward Spikes Being Clustered
  • We Show That This Behavior Emerges Naturally In A Balanced Cortical Network Model With Random Connec
  • We Employ Mean-Field Theory With Correctly Colored Noise To Describe Temporal Correlations In The Ne
  • Our Results Illuminate The Connection Between Two Independent Experimental Findings: High-Conductanc
  • And Variable Non-Poissonian Spike Statistics With Fano Factors Greater Than 1
  • (C) 2004 Elsevier B
  • V
  • All Rights Reserved
Disciplines
  • Computer Science

Abstract

High-conductance states in a mean-field cortical network model - DTU Orbit (25/04/14) High-conductance states in a mean-field cortical network model - DTU Orbit (25/04/14) Lerchner, A, Ahmadi, M & Hertz, J 2004, 'High-conductance states in a mean-field cortical network model' Neurocomputing, vol 58-60, pp. 935-940., 10.1016/j.neucom.2004.01.149

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