AI Article Synopsis
- The study explores how noise impacts the timing precision of neuron spikes in response to very weak stimulation.
- By analyzing Hodgkin-Huxley neuron models, the researchers found that low levels of noise produce a normal distribution of membrane potentials, while high levels create a wider spread towards lower potentials.
- There is a specific range where the transition occurs, and the researchers suggest that the "sweet spot" for optimal noise levels exists near this transition, which can enhance the precision of neuron responses.
Article Abstract
Spike timing precision in response to a subthreshold stimulation can be enhanced by noise in ensembles of neurons [X. Pei, L. Wilkens, and F. Moss, Phys. Rev. Lett. 77, 4679 (1996)]. We elucidate the mechanism underlying this phenomenon by computing the membrane potential distributions of ensembles of Hodgkin-Huxley neuron models. For small noise amplitudes, the membrane potential distribution takes on a Gaussian form centered on the resting potential, while for large fluctuations, there is a significant spread to lower potentials. These two regimes are separated by a relatively narrow band where the distributions transit rapidly from the Gaussian-like shapes to the spread ones. We argue that the optimal noise that maximizes the spike timing precision is situated close to this boundary.
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| http://dx.doi.org/10.1103/physreve.60.7235 | DOI Listing |
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