Firing-rate models capture essential response dynamics of LGN relay cells

DOI10.1007/s10827-013-0456-6zbMath1382.92060OpenAlexW1970039327WikidataQ51198242 ScholiaQ51198242MaRDI QIDQ1704744

Thomas Heiberg, Tom Tetzlaff, Alex Casti, Gaute T. Einevoll, Birgit Kriener, Hans Ekkehard Plesser

Publication date: 13 March 2018

Published in: Journal of Computational Neuroscience (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10827-013-0456-6

zbMATH Keywords

visual systemretinarate modelLGNlinear-nonlinear model

Mathematics Subject Classification ID

Neural biology (92C20)

Related Items (1)

Firing-rate models for neurons with a broad repertoire of spiking behaviors

Uses Software

• GSL
• Python
• NEST

Cites Work

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• Corticofugal feedback can reduce the visual latency of reponses to antagonistic stimuli
• A simple white noise analysis of neuronal light responses
• Simplicity and Efficiency of Integrate-and-Fire Neuron Models
• Spiking Neuron Models
• The Effect of a Refractory Period on the Power Spectrum of Neuronal Discharge
• Populations of Tightly Coupled Neurons: The RGC/LGN System
• A Simplex Method for Function Minimization

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