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海马 CA1 区θ波产生的神经拟态实现。

A neuromimetic realization of hippocampal CA1 for theta wave generation.

机构信息

Medical Biology Research Center, Institute of Health Technology, Kermanshah University of Medical Sciences, Kermanshah, Iran.

Faculty of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran.

出版信息

Neural Netw. 2021 Oct;142:548-563. doi: 10.1016/j.neunet.2021.07.002. Epub 2021 Jul 9.

Abstract

Recent advances in neural engineering allowed the development of neuroprostheses which facilitate functionality in people with neurological problems. In this research, a real-time neuromorphic system is proposed to artificially reproduce the theta wave and firing patterns of different neuronal populations in the CA1, a sub-region of the hippocampus. The hippocampal theta oscillations (4-12 Hz) are an important electrophysiological rhythm that contributes in various cognitive functions, including navigation, memory, and novelty detection. The proposed CA1 neuromimetic circuit includes 100 linearized Pinsky-Rinzel neurons and 668 excitatory and inhibitory synapses on a field programmable gate array (FPGA). The implemented spiking neural network of the CA1 includes the main neuronal populations for the theta rhythm generation: excitatory pyramidal cells, PV+ basket cells, and Oriens Lacunosum-Moleculare (OLM) cells which are inhibitory interneurons. Moreover, the main inputs to the CA1 region from the entorhinal cortex via the perforant pathway, the CA3 via Schaffer collaterals, and the medial septum via fimbria-fornix are also implemented on the FPGA using a bursting leaky-integrate and fire (LIF) neuron model. The results of hardware realization show that the proposed CA1 neuromimetic circuit successfully reconstructs the theta oscillations and functionally illustrates the phase relations between firing responses of the different neuronal populations. It is also evaluated the impact of medial septum elimination on the firing patterns of the CA1 neuronal population and the theta wave's characteristics. This neuromorphic system can be considered as a potential platform that opens opportunities for neuroprosthetic applications in future works.

摘要

神经工程的最新进展使得神经假体的发展成为可能,这为有神经问题的人提供了功能辅助。在这项研究中,提出了一个实时神经拟态系统,以人工再现海马体 CA1 区不同神经元群体的θ波和放电模式。海马体θ振荡(4-12 Hz)是一种重要的电生理节律,有助于各种认知功能,包括导航、记忆和新颖性检测。所提出的 CA1 神经拟态电路包括 100 个线性化的 Pinsky-Rinzel 神经元和在现场可编程门阵列(FPGA)上的 668 个兴奋性和抑制性突触。CA1 的实现的尖峰神经网络包括产生θ节律的主要神经元群体:兴奋性锥体细胞、PV+basket 细胞和抑制性中间神经元 Oriens Lacunosum-Moleculare (OLM) 细胞。此外,通过穿通纤维从内嗅皮层到 CA1 区的主要输入、通过 Schaffer 侧支从 CA3 到 CA1 区的主要输入以及通过穹窿伞从内侧隔到 CA1 区的主要输入也使用突发漏电流积分和放电(LIF)神经元模型在 FPGA 上实现。硬件实现的结果表明,所提出的 CA1 神经拟态电路成功地重建了θ振荡,并在功能上说明了不同神经元群体的放电响应之间的相位关系。还评估了内侧隔消除对 CA1 神经元群体的放电模式和θ波特征的影响。这个神经拟态系统可以被认为是一个潜在的平台,为未来的神经假体应用开辟了机会。

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