Multiprocessors parallel computer for the signal processing of living nervous system

Godo Zoltan Attila, Loos Marcell, K. Dénes, Révész Csaba
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引用次数: 0

Abstract

The mode of action of psychopharmacons have been studied thoroughly by the analysis of firing patterns led from the living nervous system. Examining even a very small region of the brain requires enormous calculational capacity. This is most effective with the help of an artificial multiprocessing neural network, similar to the living nervous sytem. In the course of our work we use a self-developed 128-microelectrode block to decode the firing matrix of the living nervous system. The signals have been processed with the help of a 9-processor neural network. We have established a two-way analog contact with the living nervous system. Already known algorithms can be applied to the system, whilst the unique hardware structure also allows new algorithms to be developed.
用于活体神经系统信号处理的多处理器并行计算机
通过对活体神经系统放电模式的分析,对精神药理学的作用方式进行了深入的研究。即使检查大脑的一个很小的区域也需要巨大的计算能力。在人工多处理神经网络的帮助下,这是最有效的,类似于活体神经系统。在我们的工作过程中,我们使用自主开发的128微电极块来解码活体神经系统的放电矩阵。这些信号在9个处理器的神经网络的帮助下进行了处理。我们已经建立了与活体神经系统的双向模拟联系。已知的算法可以应用于系统,同时独特的硬件结构也允许开发新的算法。
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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