Minimal Models of Adapted Neuronal Response to In Vivo –Like Input Currents

La Camera, Giancarlo; Rauch, Alexander; Lüscher, Hans-R.; Senn, Walter; Fusi, Stefano (2004). Minimal Models of Adapted Neuronal Response to In Vivo –Like Input Currents. Neural computation, 16(10), pp. 2101-2124. MIT Press 10.1162/0899766041732468

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Rate models are often used to study the behavior of large networks of spiking neurons. Here we propose a procedure to derive rate models that take into account the fluctuations of the input current and firing-rate adaptation, two ubiquitous features in the central nervous system that have been previously overlooked in constructing rate models. The procedure is general and applies to any model of firing unit. As examples, we apply it to the leaky integrate-and-fire (IF) neuron, the leaky IF neuron with reversal potentials, and to the quadratic IF neuron. Two mechanisms of adaptation are considered, one due to an after hyperpolarization current and the other to an adapting threshold for spike emission. The parameters of these simple models can be tuned to match experimental data obtained from neocortical pyramidal neurons. Finally, we show how the stationary model can be used to predict the time-varying activity of a large population of adapting neurons.

Item Type:	Journal Article (Original Article)
Division/Institute:	04 Faculty of Medicine > Pre-clinic Human Medicine > Institute of Physiology
UniBE Contributor:	La Camera, Giancarlo, Rauch, Alexander, Lüscher, Hans-Rudolf, Senn, Walter, Fusi, Stefano
Subjects:	600 Technology > 610 Medicine & health
ISSN:	0899-7667
Publisher:	MIT Press
Language:	English
Submitter:	Virginie Sabado
Date Deposited:	18 Jan 2023 15:54
Last Modified:	18 Jan 2023 23:28
Publisher DOI:	10.1162/0899766041732468
PubMed ID:	15333209
URI:	https://boris.unibe.ch/id/eprint/177107