Motor cortex microcircuit simulation based on brain activity mapping

George L. Chadderdon, Ashutosh Mohan, Benjamin A. Suter, Samuel A. Neymotin, Cliff C. Kerr, Joseph T. Francis, Gordon M.G. Shepherd, William W. Lytton

Research output: Contribution to journalArticlepeer-review

11 Scopus citations


The deceptively simple laminar structure of neocortex belies the complexity of intra-and interlaminar connectivity.We developed a computational model based primarily on a unified set of brain activity mapping studies of mouseM1. The simulation consisted of 775 spiking neurons of 10 cell types with detailed population-to-population connectivity. Static analysis of connectivity with graph-theoretic tools revealed that the corticostriatal population showed strong centrality, suggesting that would provide a network hub. Subsequent dynamical analysis confirmed this observation, in addition to revealing network dynamics that cannot be readily predicted through analysis of the wiring diagram alone. Activation thresholds depended on the stimulated layer. Low stimulation produced transient activation, while stronger activation produced sustained oscillations where the threshold for sustained responses varied by layer: 13% in layer 2/3, 54% in layer 5A, 25% in layer 5B, and 17% in layer 6. The frequency and phase of the resulting oscillation also depended on stimulation layer. By demonstrating the effectiveness of combined static and dynamic analysis, our results show how static brain maps can be related to the results of brain activity mapping.

Original languageEnglish (US)
Pages (from-to)1239-1262
Number of pages24
JournalNeural Computation
Issue number7
StatePublished - 2014

ASJC Scopus subject areas

  • Arts and Humanities (miscellaneous)
  • Cognitive Neuroscience


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