Estimating parameters and predicting membrane voltages with conductance-based neuron models. - Wikidata - wikimedia - TriplyDB

Estimating parameters and predicting membrane voltages with conductance-based neuron models.

Estimating parameters and predicting membrane voltages with conductance-based neuron models.

http://www.wikidata.org/entity/Q30010594

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Computational models in the age of large datasets Automatic Construction of Predictive Neuron Models through Large Scale Assimilation of Electrophysiological Data Nonlinear statistical data assimilation for HVC[Formula: see text] neurons in the avian song system.What is the most realistic single-compartment model of spike initiation?Silicon central pattern generators for cardiac diseases.Computational implications of biophysical diversity and multiple timescales in neurons and synapses for circuit performance.Automated evolutionary optimization of ion channel conductances and kinetics in models of young and aged rhesus monkey pyramidal neurons.Temperature manipulation of neuronal dynamics in a forebrain motor control nucleus.Physiological models of the lateral superior olive.Data Assimilation Methods for Neuronal State and Parameter Estimation Spike-Conducting Integrate-and-Fire Model

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P2860

Estimating parameters and predicting membrane voltages with conductance-based neuron models.

http://www.wikidata.org/entity/Q30010594

description

2014 nî lūn-bûn

@nan

2014 թուականի Յունիսին հրատարակուած գիտական յօդուած

@hyw

2014 թվականի հունիսին հրատարակված գիտական հոդված

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2014年の論文

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2014年論文

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2014年論文

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2014年論文

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2014年論文

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2014年論文

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2014年论文

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name

Estimating parameters and pred ...... nductance-based neuron models.

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Estimating parameters and pred ...... nductance-based neuron models.

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Estimating parameters and pred ...... nductance-based neuron models.

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Estimating parameters and pred ...... nductance-based neuron models.

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Biological Cybernetics

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Estimating parameters and pred ...... nductance-based neuron models.

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C Daniel Meliza

http://www.w3.org/2001/XMLSchema#string

Daniel Margoliash

http://www.w3.org/2001/XMLSchema#string

Hao Huang

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Henry D I Abarbanel

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Mark Kostuk

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P2860

NeuroML: a language for describing data driven models of neurons and networks with a high degree of biological detail

A quantitative description of membrane current and its application to conduction and excitation in nerve

Exploiting mathematical models to illuminate electrophysiological variability between individuals

Smoothing of, and parameter estimation from, noisy biophysical recordings

Elemental gesture dynamics are encoded by song premotor cortical neurons.

Support for a synaptic chain model of neuronal sequence generation

Telencephalic neurons monosynaptically link brainstem and forebrain premotor networks necessary for song.

Neuron-specific cholinergic modulation of a forebrain song control nucleus

An ultra-sparse code underlies the generation of neural sequences in a songbird

Analysis and functional implications of phosphorylation of neuronal voltage-gated potassium channels.

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