Quantization of Map-Based Neuronal Model for Embedded Simulations of Neurobiological Networks in Real-Time
作者: Nikolai F. RulkovAriel Mark HuntPeter N. RulkovAndrey G. Maksimov
刊名: American Journal of Engineering and Applied Sciences, 2016, pp.0-0
来源数据库: Science Publications
DOI: 10.3844/ofsp.10853
原始语种摘要: The discreet-time (map-based) approach to modeling nonlinear dynamics of spiking and spiking-bursting activity of neurons has demonstrated its very high efficiency in simulations of neuro-biologically realistic behavior both in large-scale network models for brain activity studies and in real-time operation of Central Pattern Generator network models for biomimetic robotics. This paper studies the next step in improving the model computational efficiency that includes quantization of model variables and makes the network models suitable for embedded solutions. We modify a map-based neuron model to enable simulations using only integer arithmetic and demonstrate a significant reduction of computation time in an embedded system using readily available, inexpensive ARM Cortex L4...
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  • computational 计算的
  • demonstrate 说明
  • network 网络
  • realistic 逼真
  • quantization 量子化
  • modeling 制祝型
  • embedded 嵌入
  • discreet 懂得事理的
  • inexpensive 便宜
  • improving 改进