Computation in a Single Neuron: Hodgkin and Huxley Revisited

ARTICLE Communicated by Paul Bressloff Computation in a Single Neuron: Hodgkin and Huxley Revisited BlaiseAguera¨ yArcas [email protected] Rare Books Library, Princeton University, Princeton, NJ 08544, .
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Computation in a Single Neuron: Hodgkin and Huxley Revisited

Re: Single neuron computation models

Electrotonic models of neuronal dendrites and single. Determination of state-dependent processing in Thalamus by single neuron properties and neuromodulators David A. McCormick , John Huguenard , Ben W. Strowbridge Pages: 259-290

Computation in a Single Neuron: Hodgkin and Huxley Revisited

Re: Single neuron computation models

Modeling Single-Neuron Dynamics and Computations: A. Single-compartment models such as the classic Hodgkin-Huxley model neglect the neuron's spatial structure and focus entirely on how its various ionic currents contribute to subthreshold behavior and spike generation.

Computation in a Single Neuron: Hodgkin and Huxley Revisited

Re: Single neuron computation models

Single neuron dynamics and computation - ScienceDirect Highlights • LNP models provide a precise description of the static and dynamic responses of neurons. • Dynamic responses depend on neuron electrophysiological properties and support various computations.

Computation in a Single Neuron: Hodgkin and Huxley Revisited

Re: Single neuron computation models

Single neuron computation ICNC students' course notes. Attenograms – Morpho electrotonic transform: A technique to model the structure of the dendrites by their response to input currents rather than by their physical properties.

Computation in a Single Neuron: Hodgkin and Huxley Revisited

Re: Single neuron computation models

Modeling Single-Neuron Dynamics and Computations: A. pursuing this review recent advances and examine how single-cell models on five levels of complexity, from black-box approaches to detailed compartmental simulations, address key questions about neural dynamics and signal processing.

Computation in a Single Neuron: Hodgkin and Huxley Revisited

Re: Single neuron computation models

Single Neuron Computation - 1st Edition - Elsevier Computation in Dendrites and Spines: W. Holmes and W. Rall, Electronic Models of Neuronal Dendrites and Single Neuron Computation. G. Shepherd, Canonical Neurons and Their Computational Organization.

Computation in a Single Neuron: Hodgkin and Huxley Revisited

Re: Single neuron computation models

Computational neuroscience - Wikipedia Computational neuroscience (also known as theoretical neuroscience or mathematical neuroscience) is a branch of neuroscience which employs mathematical models, theoretical analysis and abstractions of the brain to understand the principles that govern the development, structure, physiology and cognitive abilities of the nervous system.

Computation in a Single Neuron: Hodgkin and Huxley Revisited

Re: Single neuron computation models

Single neuron dynamics and computation - UMR 8550 Single 1 neuron dynamics and computation Nicolas Brunel ,*, Vincent Hakim2 and Magnus JE Richardson3 At the single neuron level, information processing involves the transformation of input spike trains into an appropriate output spike train. Building upon the classical view of a neuron as a threshold device, models have been developed in recent years that take into account the diverse.

Computation in a Single Neuron: Hodgkin and Huxley Revisited

Re: Single neuron computation models

Single Neuron Computation ScienceDirect Publisher Summary. This chapter focuses on different electrotonic models of neuronal dendrites and single neuron computation to reduce the number degrees of freedom.