Int J Neural Syst - Relationship between applicability of current-based synapses and uniformity of firing patterns.

Tópicos

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Resumo

The purpose of this paper is to identify situations in neural network modeling where current-based synapses are applicable. The applicability of current-based synapse model for studying post-transient behavior of neural networks is discussed in terms of average synaptic current strength induced by per spike during one firing cycle of a neuron (or briefly per spike synaptic current strength). It was found that current-based synapse models are applicable in both situations where both the interspike intervals of the neurons and the distribution of firing times of the neurons are uniform, and where the firing of all neurons is synchronized. If neither the interspike intervals nor the distribution of firing times of the neurons is uniform or the reversal potential is between the rest and threshold potentials, current-based synapse models may be oversimplified.

Resumo Limpo

purpos paper identifi situat neural network model currentbas synaps applic applic currentbas synaps model studi posttransi behavior neural network discuss term averag synapt current strength induc per spike one fire cycl neuron briefli per spike synapt current strength found currentbas synaps model applic situat interspik interv neuron distribut fire time neuron uniform fire neuron synchron neither interspik interv distribut fire time neuron uniform revers potenti rest threshold potenti currentbas synaps model may oversimplifi

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