A MODEL OF NEURAL CIRCUIT WITH ADAPTION AND NONLINEAR CONNECTION
具有非线性突触联接和适应性的人工神经元电路模型

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.