Draft:Conductance-Based Refractory Density model

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Instructions · What links here · Conductance-Based Refractory Density model (talk: + · bio) · (log) · Copyvios report · reFill · Citation Bot · (Search: Google, Wikipedia) · Submitted 44 days ago by Antonchizhov4wiki (talk: D · +) · Last edited 0 seconds ago

The Conductance-Based Refractory Density (CBRD) approach enables the derivation of a macroscopic model of a neuronal ensemble based on the microscopic dynamics of individual neurons, specifically those described by the Hodgkin-Huxley-type framework.^[1] Here, a neuronal ensemble (or neuronal population) refers to as a large (ideally infinite) set of uncoupled stochastic neurons. These neurons receive common input in the form of synaptic current or synaptic conductances. The output signal is the population firing rate.

^ Schwalger, Tilo; Chizhov, Anton V (2019-10-01). "Mind the last spike — firing rate models for mesoscopic populations of spiking neurons". Current Opinion in Neurobiology. Computational Neuroscience. 58: 155–166. arXiv:1909.10007. doi:10.1016/j.conb.2019.08.003. ISSN 0959-4388. PMID 31590003.

[1] Schwalger, Tilo; Chizhov, Anton V (2019-10-01). "Mind the last spike — firing rate models for mesoscopic populations of spiking neurons". Current Opinion in Neurobiology. Computational Neuroscience. 58: 155–166. arXiv:1909.10007. doi:10.1016/j.conb.2019.08.003. ISSN 0959-4388. PMID 31590003.

[1]

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Draft:Conductance-Based Refractory Density model

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