What can be learned from spike interval histograms about synaptic mechanisms

Braitenberg, V

doi:10.1016/0022-5193(65)90020-2

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What can be learned from spike interval histograms about synaptic mechanisms

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Braitenberg, V
Former Department Structure and Function of Natural Nerve-Net, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Citation

Braitenberg, V. (1965). What can be learned from spike interval histograms about synaptic mechanisms. Journal of Theoretical Biology, 8(3), 419-425. doi:10.1016/0022-5193(65)90020-2.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-F26E-F

Abstract

The distribution of intervals between successive spikes in the output of a cerebellar neuron of the frog can be readily obtained. It is reasonable to assume that the distribution of levels of excitation in the input of the neuron be Gaussian. From the comparison of the two distributions the function can be inferred which relates inter-spike intervals to levels of afferent excitation. The function obtained is in good agreement with some well-known curves describing the variation of the threshold after each spike, suggesting that the mechanisms by which spike sequences are generated is essentially based on this threshold variation.