Stiber M, Pakdaman K, Vibert J F, Boussard E, Segundo J P, Nomura T, Sato S, Doi S
Department of Computer Science, The Hong Kong University of Science and Technology, Kowloon.
Biosystems. 1997;40(1-2):177-88. doi: 10.1016/0303-2647(96)01644-9.
A neuron can respond to periodic inhibitory input with a variety of complex behaviors, periodic and aperiodic. We present a succession of models to test hypotheses for mechanisms underlying complex behavior generation. Model comparison using non-linear dynamics techniques indicates that long-duration IPSP aftereffects and spiking behavior are necessary for most of the basic response properties, though not sufficient for some of their more subtle aspects.
神经元能够对周期性抑制性输入做出各种复杂行为反应,包括周期性和非周期性的。我们提出了一系列模型来检验复杂行为产生机制的假设。使用非线性动力学技术进行的模型比较表明,长时间的抑制性突触后电位(IPSP)后效应和放电行为对于大多数基本反应特性是必要的,尽管对于其中一些更细微的方面并不充分。