基于异步元胞自动机动力学的多室体-树突模型

2016 International Joint Conference on Neural Networks (IJCNN) Pub Date : 2016-07-24 DOI:10.1109/IJCNN.2016.7727202

Narutoshi Jodai, H. Torikai

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引用次数: 1

摘要

本文设计了基于异步元胞自动机动力学的多室体-树突模型。结果表明，该模型能较好地再现神经元胞体与树突间膜电位的典型传播现象。此外，该模型在现场可编程门阵列中实现，与传统的多室体-树突模型相比，该模型可以通过使用更少的硬件资源来实现。

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A hardware-efficient multi-compartment soma-dendrite model based on asynchronous cellular automaton dynamics

In this paper, a multi-compartment soma-dendrite model based on asynchronous cellular automaton dynamics is designed. It is shown that the model can reproduce typical propagation phenomena of membrane potentials between somas and dendrites of neurons. Also, the model is implemented in a field programmable gate array and it is shown that the model can be implemented by using much less hardware resource compared to conventional multi-compartment soma-dendrite models.

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2016 International Joint Conference on Neural Networks (IJCNN)

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