Conductance-based refractory density model of primary visual cortex

DOI10.1007/s10827-013-0473-5zbMath1382.92044OpenAlexW1976448470WikidataQ43858450 ScholiaQ43858450MaRDI QIDQ1704764

Anton V. Chizhov

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/s10827-013-0473-5

zbMATH Keywords

imagingvisual cortexorientation selectivityconductance-based neuronsintracellular registrationsprobability density approach

Mathematics Subject Classification ID

Neural biology (92C20) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (5)

A mathematical model of color and orientation processing in V1 ⋮ Oscillations in a fully connected network of leaky integrate-and-fire neurons with a Poisson spiking mechanism ⋮ A simple Markov model of sodium channels with a dynamic threshold ⋮ Conductance-based refractory density approach: comparison with experimental data and generalization to lognormal distribution of input current ⋮ Conductance-based refractory density approach for a population of bursting neurons

Cites Work

• Synchronization and oscillatory dynamics in heterogeneous, mutually inhibited neurons
• Neural network model of the primary visual cortex: from functional architecture to lateral connectivity and back
• Modeling Neuronal Assemblies: Theory and Implementation
• Spiking Neuron Models
• Rate Models for Conductance-Based Cortical Neuronal Networks

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