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方向尖峰传播在一个递归网络中:动态防火墙作为各向异性的递归抑制。

Directional spike propagation in a recurrent network: dynamical firewall as anisotropic recurrent inhibition.

机构信息

Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, 2-4 Hibikino, Wakamatsu-ku, Kitakyushu 808-0196, Japan.

出版信息

Neural Netw. 2012 Sep;33:236-46. doi: 10.1016/j.neunet.2012.05.010. Epub 2012 Jun 5.

Abstract

It has been demonstrated that theta rhythm propagates along the septotemporal axis of the hippocampal CA1 of the rat running on a track, and it has been suggested that directional spike propagation in the hippocampal CA3 is reflected in CA1. In this paper, we show that directional spike propagation occurs in a recurrent network model in which neurons are connected locally and connection weights are modified through STDP. The recurrent network model consists of excitatory and inhibitory neurons, which are intrinsic bursting and fast spiking neurons developed by Izhikevich, respectively. The maximum length of connections from excitatory neurons is shorter in the horizontal direction than the vertical direction. Connections from inhibitory neurons have the same maximum length in both directions, and the maximum length of inhibitory connections is the same as that of excitatory connections in the vertical direction. When connection weights between excitatory neurons (E→E) were modified through STDP and those from excitatory neurons to inhibitory neurons (E→I) were constant, spikes propagated in the vertical direction as expected from the network structure. However, when E→I connection weights were modified through STDP, as well as E→E connection weights, spikes propagated in the horizontal direction against the above expectation. This paradoxical propagation was produced by strengthened E→I connections which shifted the timing of inhibition forward. When E→I connections are enhanced, the direction of effective inhibition changes from horizontal to vertical, as if a gate for spike propagation is opened in the horizontal direction and firewalls come out in the vertical direction. These results suggest that the advance of timing of inhibition caused by potentiation of E→I connections is influential in network activity and is an important element in determining the direction of spike propagation.

摘要

已经证明,在大鼠在轨道上奔跑时,θ节律沿海马 CA1 的隔颞轴传播,并且有人提出,海马 CA3 中的定向尖峰传播反映在 CA1 中。在本文中,我们表明,在局部连接神经元且通过 STDP 调整连接权重的递归网络模型中,会发生定向尖峰传播。该递归网络模型由兴奋性和抑制性神经元组成,它们分别是 Izhikevich 开发的内在爆发和快速尖峰神经元。兴奋性神经元的连接的最大长度在水平方向上比垂直方向短。来自抑制性神经元的连接在两个方向上具有相同的最大长度,并且抑制性连接的最大长度与垂直方向上兴奋性连接的最大长度相同。当兴奋性神经元之间的连接权重(E→E)通过 STDP 进行修改,并且兴奋性神经元到抑制性神经元的连接权重(E→I)保持不变时,正如网络结构所预期的那样,尖峰沿垂直方向传播。然而,当 E→I 连接权重(E→E 和 E→I)通过 STDP 进行修改时,尖峰沿水平方向传播,与上述预期相反。这种矛盾的传播是由增强的 E→I 连接引起的,这些连接使抑制的时间提前。当 E→I 连接增强时,有效抑制的方向从水平变为垂直,就好像在水平方向上打开了用于尖峰传播的门,并且在垂直方向上出现了防火墙。这些结果表明,E→I 连接的增强引起的抑制时间的提前对网络活动有影响,并且是确定尖峰传播方向的重要因素。

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