Hopfield J J
Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena 91125, USA.
Nature. 1995 Jul 6;376(6535):33-6. doi: 10.1038/376033a0.
A computational model is described in which the sizes of variables are represented by the explicit times at which action potentials occur, rather than by the more usual 'firing rate' of neurons. The comparison of patterns over sets of analogue variables is done by a network using different delays for different information paths. This mode of computation explains how one scheme of neuroarchitecture can be used for very different sensory modalities and seemingly different computations. The oscillations and anatomy of the mammalian olfactory systems have a simple interpretation in terms of this representation, and relate to processing in the auditory system. Single-electrode recording would not detect such neural computing. Recognition 'units' in this style respond more like radial basis function units than elementary sigmoid units.
本文描述了一种计算模型，其中变量的大小由动作电位发生的具体时刻表示，而非更常见的神经元“发放率”。通过一个对不同信息路径使用不同延迟的网络来完成对模拟变量集上模式的比较。这种计算模式解释了一种神经结构方案如何能用于非常不同的感觉模态以及看似不同的计算。就这种表示而言，哺乳动物嗅觉系统的振荡和解剖结构有一个简单的解释，并且与听觉系统的处理相关。单电极记录无法检测到这种神经计算。这种类型的识别“单元”的响应更类似于径向基函数单元，而非基本的S型单元。
