Enhancement of information transmission of sub-threshold signals applied to distal positions of dendritic trees in hippocampal CA1 neuron models with stochastic resonance |
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Authors: | Hiroyuki Mino Dominique M Durand |
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Institution: | (1) Department of Electrical and Computer Engineering, Kanto Gakuin University, Yokohama 236-8501, Japan |
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Abstract: | Stochastic resonance (SR) has been shown to enhance the signal-to-noise ratio and detection of low level signals in neurons.
It is not yet clear how this effect of SR plays an important role in the information processing of neural networks. The objective
of this article is to test the hypothesis that information transmission can be enhanced with SR when sub-threshold signals
are applied to distal positions of the dendrites of hippocampal CA1 neuron models. In the computer simulation, random sub-threshold
signals were presented repeatedly to a distal position of the main apical branch, while the homogeneous Poisson shot noise
was applied as a background noise to the mid-point of a basal dendrite in the CA1 neuron model consisting of the soma with
one sodium, one calcium, and five potassium channels. From spike firing times recorded at the soma, the mutual information
and information rate of the spike trains were estimated. The simulation results obtained showed a typical resonance curve
of SR, and that as the activity (intensity) of sub-threshold signals increased, the maximum value of the information rate
tended to increased and eventually SR disappeared. It is concluded that SR can play a key role in enhancing the information
transmission of sub-threshold stimuli applied to distal positions on the dendritic trees. |
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Keywords: | |
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