Title
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Activity-driven computational strategies of a dynamically regulated integrate-and-fire model neuron
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Author
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Abstract
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Activity-dependent slow biochemical regulation processes, affecting intrinsic properties of a neuron, might play an important role in determining information processing strategies in the nervous system. We introduce second-order biochemical phenomena into a linear leaky integrate-and-fire model neuron together with a detailed kinetic description for synaptic signal transduction. In this framework, we investigate the membrane intrinsic electrical properties differentiation, showing the appearance of activity-dependent shifts between integration and temporal coincidence detection operating mode, for the single unit of a network. |
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Language
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English
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Source (journal)
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Journal of computational neuroscience. - Boston, Mass.
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Publication
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Boston, Mass.
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1999
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ISSN
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0929-5313
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DOI
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10.1023/A:1008979302515
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Volume/pages
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7
:3
(1999)
, p. 247-254
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ISI
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000082588500004
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Full text (Publisher's DOI)
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