Connection ensemble model of local neural circuits.

G Z Yao, M Wang, L M Tao
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Abstract

A connection ensemble model (CEM) of local neural circuits in central nervous system (CNS) is proposed in this work. Neuronal interactions are investigated at two levels, i.e. the synaptic connection between single neurons and the macro-connections between different neuronal groups. The efficacy of macro-connection is quantitatively determined by the efficacies of constituent synapses, and is asymptotically stable. This model provides a reasonable description for the functional invariance of local neural circuits with structural diversities, which is a widely observed fact in neurobiology. It is expected that the works in CEM model would enrich the current research in neural dynamics.

局部神经回路的连接集成模型。
提出了中枢神经系统局部神经回路的连接集成模型(CEM)。神经元相互作用的研究分为两个层面,即单个神经元之间的突触连接和不同神经元群之间的宏观连接。宏观连接的有效性是由组成突触的有效性定量决定的,并且是渐近稳定的。该模型为具有结构多样性的局部神经回路的功能不变性提供了合理的描述,这是神经生物学中广泛观察到的事实。期望CEM模型的工作能够丰富当前神经动力学的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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