Dynamics of active neuronal dendrites and their functional significance

N. Katayama, M. Nakao, Mitsuaki Yamamoto
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Abstract

Dynamical properties of brain neurons are more complex and diverse than the neuron models used in artificial neural network studies. Here a pyramidal neuron in hippocampus is modeled based on physiological findings, which is known to show calcium-dependent dynamics in dendrites. Responses of the model neuron to excitatory stimuli on the dendrites are studied under the varied somatic inhibitions. Computer simulations demonstrate synaptic control of spatiotemporal dynamics of the active dendrite system. Highly organized neuronal information processing might be possible by the interaction between the hierarchical dendrite system and the dendritic pattern of synapse distribution.
活跃神经元树突的动力学及其功能意义
脑神经元的动态特性比人工神经网络研究中使用的神经元模型更为复杂和多样。在这里,海马体中的锥体神经元是基于生理发现建模的,已知树突中显示钙依赖的动力学。研究了不同体抑制条件下模型神经元对树突兴奋性刺激的反应。计算机模拟证明了突触对活动树突系统时空动力学的控制。高度组织化的神经元信息处理可能是通过层次化的树突系统和树突状突触分布模式之间的相互作用而实现的。
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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