New Clock-Driven Algorithm Based on Separation of Synaptic Conductance Computation

doi:10.16182/j.issn1004731x.joss.17-0213

Abstract

Abstract: In order to reduce the computing time when simulating the biologic neural network, an efficient clock-driven algorithm based on the separation of synaptic conductance computation is presented. It is found that the calculation of the synaptic state variables can be separated into two independent parts: one called conductance coefficient related with the pre-synaptic neuron, and the other called synaptic current. By introducing the data structure of the virtual synapse cluster to storing sequences of synaptic conductance coefficient, the former part can be calculated independently according to the spiking states of pre-synaptic neuron at each time step. When calculating the currents of all the synapses related with this pre-synaptic neuron, it is only need to calculate synaptic current by accessing the conductance coefficient from the virtual synapse cluster. Thus, the repetition of the calculation of the synaptic conductance coefficient is reduced. Simulation results validate the algorithm proposed in this paper.

Key words: clock-driven algorithm, synaptic conductance, synaptic current, neural network

CLC Number:

TP391.9

Wang Zhijie, Peng Xia, Han Fang, Gu Xiaochun. New Clock-Driven Algorithm Based on Separation of Synaptic Conductance Computation[J]. Journal of System Simulation, 2019, 31(1): 1-7.

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