A Novel Design Method of Multi-Compartment Soma-Dendrite-Spine Model having Nonlinear Asynchronous CA Dynamics and its Applications to STDP-based Learning and FPGA Implementation
A Novel Design Method of Multi-Compartment Soma-Dendrite-Spine Model having Nonlinear Asynchronous CA Dynamics and its Applications to STDP-based Learning and FPGA Implementation
复制标题
DOI：
10.1109/ijcnn48605.2020.9207342
复制
发表时间：
2020-07
期刊：
影响因子：
--
通讯作者：
M. Ishikawa;H. Torikai
中科院分区：
文献类型：
--
作者：
M. Ishikawa;H. Torikai
本文设计了一个具有非同步元胞自动机非线性动力学的多腔体-树-棘模型。该模型可以显示神经元中观察到的动作电位的各种传播，并对这些传播进行了详细的分析。然后，利用分析结果，提出了一种新颖的模型系统化设计方法。结果表明，用该方法设计的模型可以实现基于尖峰时间相关塑性(STDP)的鲁棒条件化。利用现场可编程门阵列(FPGA)实现了所设计的模型，并通过实验验证了其基于STDP的调节功能。结果表明，与基于ODE的多舱室模型相比，所设计的模型具有更少的硬件资源和更低的功耗。
This paper designs a multi-compartment soma-dendrite-spine model having nonlinear dynamics of an asynchronous cellular automaton. The model can exhibit various propagations of action potentials observed in neurons and these propagations are analyzed in detailed. Then, using the analysis results, a novel systematic design method of the model is proposed. It is shown that the model designed by the proposed method can realize robust conditioning based on spike-timing dependent plasticity (STDP). Also, the designed model is implemented by a field programmable gate array (FPGA) and experiments validate its STDP-based conditioning function. It is then shown that the designed model consumes fewer hardware resources and lower power compared to an ODE-based multi-compartment model.