%0 Journal Article
%T A MODEL OF NEURAL CIRCUIT WITH ADAPTION AND NONLINEAR CONNECTION<br>具有非线性突触联接和适应性的人工神经元电路模型
%A Feng Dazheng
%A <br>冯大政
%J 电子与信息学报
%D 1994
%I 
%X Based on physiological properties of synapse, soma and axon, this paper presents and analyses a model of neural circuit which can approximately simulate input-output relation, strength-duration curve, adaption and nonlinear connection of real neuron. The obtained result; show that the model approximates to realistic principles of neural computation better than the available neural network. The impulse -coded WTA (Winner takes all) network constructed with the above model finds the winner more effectively than the analog WTA. Finally, the two important concepts: time competition and strength competition are introduced, which illustrate that the model has abilities to perform series and parallel information processing.
%K Artificial neural net
%K Nonlinear connection
%K Adaption
%K Property ana- lysis
%K Competition<br>人工神经元
%K 非线性突触联接
%K 适应性
%K 特性分析
%K 竞争
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=AAC8EF580A4A3D77E270B20FA2750E31&yid=3EBE383EEA0A6494&vid=7801E6FC5AE9020C&iid=0B39A22176CE99FB&sid=A63576421B012172&eid=2B5DE8A23DCEED39&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=18