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Repositorio Institucional Universidad de Granada
Bachelor thesis . 2022
License: CC BY NC ND
Data sources: Repositorio Institucional Universidad de Granada
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Ecuaciones no locales para la actividad neuronal y su simulación en diferencias finitas

descriptionPublicationkeyboard_double_arrow_right Bachelor thesis 10 May 2022 Spain Spanish; Castilian
Authors: Fernández Sánchez, Sergio;

handle: 10481/74768

Ecuaciones no locales para la actividad neuronal y su simulación en diferencias finitas

Abstract

Our objective in this work is to make an introduction to the modeling of neuronal activity, focusing on the case of integration and fire models. We will develop and discuss a series of basic results for models of the previous type and proceed to validate them numerically. The latter was initially intended to be carried out through the application of Monte Carlo methods (these being simple stochastic simulations), but finally we have opted for the application of finite difference methods.

Universidad de Granada. Facultad de Ciencias. Grado en Matemáticas. Curso académico 2018-2019

Country
Spain
Related Organizations
Keywords

Neuronal activity, Actividad neuronal, Ecuaciones no locales, Non-local equations

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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