Optimization of Efficient Neuron Models With Realistic Firing Dynamics. The Case of the Cerebellar Granule Cell-Reference-Cited by-同舟云学术

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Optimization of Efficient Neuron Models With Realistic Firing Dynamics. The Case of the Cerebellar Granule Cell

Published:2020-07-14 Issue: Volume:14 Page:
ISSN:1662-5102
Container-title:Frontiers in Cellular Neuroscience
language:
Short-container-title:Front. Cell. Neurosci.

Author:

Marín Milagros,Sáez-Lara María José,Ros Eduardo,Garrido Jesús A.

Funder

Ministerio de Economàa y Competitividad

European Commission

Universidad de Granada

Publisher

Frontiers Media SA

Subject

Cellular and Molecular Neuroscience

Reference57 articles.

1. Long-term potentiation of intrinsic excitability at the mossy fiber-granule cell synapse of rat cerebellum;Armano;J. Neurosci.,2000

2. Dynamic I-V curves are reliable predictors of naturalistic pyramidal-neuron voltage traces;Badel;J. Neurophysiol.,2008

3. Dynamics of the exponential integrate-and-fire model with slow currents and adaptation;Barranca;J. Comput. Neurosci.,2013

4. An integrate-and-fire model of a cerebellar granule cell;Bezzi;Neurocomputing,2004

5. Adaptive exponential integrate-and-fire model as an effective description of neuronal activity;Brette;J. Neurophysiol.,2005

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1. Propagation of Oscillations in the Indirect Pathway of the Basal Ganglia;The Journal of Neuroscience;2023-07-03

2. Roles for cerebellum and subsumption architecture in central pattern generation;Journal of Comparative Physiology A;2023-05-02

3. A Simple Model of Nonspiking Neurons;Neural Computation;2022-09-12

4. Firing patterns in a fractional-order FithzHugh–Nagumo neuron model;Nonlinear Dynamics;2022-07-21

5. On the Use of a Multimodal Optimizer for Fitting Neuron Models. Application to the Cerebellar Granule Cell;Frontiers in Neuroinformatics;2021-06-03

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