Literature DB >> 21660560

Time optimal control of spiking neurons.

Ali Nabi1, Jeff Moehlis.   

Abstract

By injecting an electrical current control stimulus into a neuron, one can change its inter-spike intervals. In this paper, we investigate the time optimal control problem for periodically firing neurons, represented by different one-dimensional phase models, and find analytical expressions for the minimum and maximum values of inter-spike intervals achievable with small bounded control stimuli. We consider two cases: with a charge-balance constraint on the input, and without it. The analytical calculations are supported with numerical results for examples of qualitatively different neuron models.

Mesh:

Year:  2011        PMID: 21660560     DOI: 10.1007/s00285-011-0441-5

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  15 in total

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Review 5.  Neuronal basis of the parkinsonian resting tremor: a hypothesis and its implications for treatment.

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8.  The assembly of ionic currents in a thalamic neuron. I. The three-dimensional model.

Authors:  R M Rose; J L Hindmarsh
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10.  Phase tracking and restoration of circadian rhythms by model-based optimal control.

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  5 in total

1.  Minimum energy desynchronizing control for coupled neurons.

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Journal:  J Comput Neurosci       Date:  2012-08-18       Impact factor: 1.621

2.  Switching neuronal state: optimal stimuli revealed using a stochastically-seeded gradient algorithm.

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Journal:  J Comput Neurosci       Date:  2014-08-22       Impact factor: 1.621

3.  Fundamental Limits of Forced Asynchronous Spiking with Integrate and Fire Dynamics.

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4.  Evolution of extrema features reveals optimal stimuli for biological state transitions.

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  5 in total

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