Neural Comput - Motor cortex microcircuit simulation based on brain activity mapping.

Tópicos

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Resumo

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 mouse M1. 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.

Resumo Limpo

decept simpl laminar structur neocortex beli complex intra interlaminar connect develop comput model base primarili unifi set brain activ map studi mous m simul consist spike neuron cell type detail populationtopopul connect static analysi connect graphtheoret tool reveal corticostriat popul show strong central suggest provid network hub subsequ dynam analysi confirm observ addit reveal network dynam readili predict analysi wire diagram alon activ threshold depend stimul layer low stimul produc transient activ stronger activ produc sustain oscil threshold sustain respons vari layer layer layer layer b layer frequenc phase result oscil also depend stimul layer demonstr effect combin static dynam analysi result show static brain map can relat result brain activ map

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