Possible neural coding with interevent intervals of synchronous firing
Possible neural coding with interevent intervals of synchronous firing
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DOI：
10.1103/physreve.66.026212
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发表时间：
2002-08-01
影响因子：
2.4
通讯作者：
Tokuda, I
中科院分区：
文献类型：
--
作者：
Aihara, K;Tokuda, I
由可兴奋神经元和噪声组成的神经网络产生丰富的非线性动力学与神经元锋电位的时空结构。在各种不同的锋电位时空模式中，同步放电的研究最为广泛，无论是生理实验还是理论分析都是如此。在本文中，我们从同步放电的角度考虑非线性神经动力学以及具有这种同步放电的神经编码的可能性，这可能用于“嘈杂的大脑”。“特别是，从非线性时间序列分析和随机共振的角度，探讨了用同步发射的间隔重建一个模拟动态环境的混沌吸引子。
Neural networks composed of excitable neurons with noise generate rich nonlinear dynamics with spatiotemporal structures of neuronal spikes. Among various spatiotemporal patterns of spikes, synchronous firing has been studied most extensively both with physiological experimentation and with theoretical analysis. In this paper, we consider nonlinear neurodynamics in terms of synchronous firing and possibility of neural coding with such synchronous firing, which may be used in the "noisy brain." In particular, reconstruction of a chaotic attractor modeling a dynamical environment is explored with interevent intervals of synchronous firing from the perspective of nonlinear time series analysis and stochastic resonance.