Modeling the process of rate selection in neuronal activity

Larry M. Manevitz, Shimon Marom

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


We present the elements of a mathematical computational model that reflects the experimental finding that the time-scale of a neuron is not fixed; but rather varies with the history of its stimulus. Unlike most physiological models, there are no pre-determined rates associated with transitions between states of the system nor are there pre-determined constants associated with adaptation rates; instead, the model is a kind of "modulating automata" where the rates emerge from the history of the system itself. We focus in this paper on the temporal dynamics of a neuron and show how a simple internal structure will give rise to complex temporal behavior. The internal structure modeled here is an abstraction of a reasonably well-understood physiological structure. We also suggest that this behavior can be used to transform a "rate" code into a "temporal one".

Original languageEnglish
Pages (from-to)337-343
Number of pages7
JournalJournal of Theoretical Biology
Issue number3
StatePublished - 2002
Externally publishedYes


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