Large-scale model of mammalian thalamocortical systems

作者: E. M. Izhikevich , G. M. Edelman

DOI: 10.1073/PNAS.0712231105

关键词:

摘要: The understanding of the structural and dynamic complexity mammalian brains is greatly facilitated by computer simulations. We present here a detailed large-scale thalamocortical model based on experimental measures in several species. spans three anatomical scales. (i) It global (white-matter) anatomy obtained means diffusion tensor imaging (DTI) human brain. (ii) includes multiple thalamic nuclei six-layered cortical microcircuitry vitro labeling three-dimensional reconstruction single neurons cat visual cortex. (iii) has 22 basic types with appropriate laminar distribution their branching dendritic trees. simulates one million multicompartmental spiking calibrated to reproduce known responses recorded rats. almost half billion synapses receptor kinetics, short-term plasticity, long-term spike-timing-dependent synaptic plasticity (dendritic STDP). exhibits behavioral regimes normal brain activity that were not explicitly built-in but emerged spontaneously as result interactions among processes. describe spontaneous activity, sensitivity changes individual neurons, emergence waves rhythms, functional connectivity different

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