Harth E M, Edgar S L
Department of Physics, Syracuse University, Syracuse, New York 13210, USA.
Biophys J. 1967 Nov;7(6):689-717. doi: 10.1016/S0006-3495(67)86617-7. Epub 2008 Dec 31.
Cognitive functions are sought in a homogeneous, randomly connected net of neuron-like elements. Information is assumed to be contained in the instantaneous states of the system, which specify the firing states (off or on) of each neuron in the net. The hypothesis of synaptic facilitation is assumed to be the basis of learning and memory. Owing to the high degree of damping no reverberations occur in the net. However, close analogies can be found between the performance of the net and known association functions of the cerebral cortex, among them various types of conditioned reflexes. The data are obtained by a combination of mathematical analysis and computer simulation. It is emphasized that the biological entity simulated by this model is at best a limited component of the cerebral cortex.
认知功能是在由类似神经元的元素构成的均匀、随机连接的网络中探寻的。信息被假定包含在系统的瞬时状态中，这些状态指定了网络中每个神经元的激发状态（关闭或开启）。突触易化假说被假定为学习和记忆的基础。由于高度的阻尼，网络中不会出现回响。然而，在网络的性能与大脑皮层已知的联想功能之间可以发现紧密的相似之处，其中包括各种类型的条件反射。数据是通过数学分析和计算机模拟相结合获得的。需要强调的是，该模型所模拟的生物实体充其量只是大脑皮层的一个有限组成部分。
