摘要
近些年来,人们一直研究建立在Hebb细胞群理论基础上,关于大脑皮层联想记忆神经网络模型。这种网络由仿真模型锥体细胞和一个从复现性人工神经网络提取的相关矩阵组成,用来模拟细胞群间的延持活动和模式竞争等。如果在网络中,用运动神经元代替锥体细胞,网络的行为会大大改观.本文所述的仿真结果符合Hebb细胞群理论的生物假说。
A highly simplified network model of cortical associative memory based on Hebb's theory of cell assemblies has been developed and simulated. The network is comprised of realistically modeled pyramidal-type cells and a connection matrix adopted from a recurrent artificial neural network. After-activity, pattern completion and competition between cell assemblies have been modeled. If, instead of pyramidal cells, motor neurons are used as network units, network behavior changes drastically. Spike synchronization can be ob- served, but after-activity is hard to produce. Our results support the biological plausibility of Hebb's cell assembly theory. The analogy between this theory and recurrent artificial neural network models is discussed.
出处
《系统仿真学报》
CAS
CSCD
1992年第1期1-4,共4页
Journal of System Simulation
关键词
大脑皮层
仿真
神经网络
神经元
Artificial neural network, Cell assemblies, Neuron, After-activity, Pattern completion, Pattern competition, Synapses.
