Predicting Spike Times from Subthreshold Dynamics of a Neuron
Abstract
It has been established that a neuron reproduces highly precise spike response to identical fluctuating input currents. We wish to accurately predict the firing times of a given neuron for any input current. For this purpose we adopt a model that mimics the dynamics of the membrane potential, and then take a cue from its dynamics for predicting the spike occurrence for a novel input current. It is found that the prediction is significantly improved by observing the state space of the membrane potential and its time derivative(s) in advance of a possible spike, in comparison to simply thresholding an instantaneous value of the estimated potential.
Cite
Text
Kobayashi and Shinomoto. "Predicting Spike Times from Subthreshold Dynamics of a Neuron." Neural Information Processing Systems, 2006.Markdown
[Kobayashi and Shinomoto. "Predicting Spike Times from Subthreshold Dynamics of a Neuron." Neural Information Processing Systems, 2006.](https://mlanthology.org/neurips/2006/kobayashi2006neurips-predicting/)BibTeX
@inproceedings{kobayashi2006neurips-predicting,
title = {{Predicting Spike Times from Subthreshold Dynamics of a Neuron}},
author = {Kobayashi, Ryota and Shinomoto, Shigeru},
booktitle = {Neural Information Processing Systems},
year = {2006},
pages = {721-728},
url = {https://mlanthology.org/neurips/2006/kobayashi2006neurips-predicting/}
}