Estimation of the synaptic input under a single cell model
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- dc.contributor.author Hajimoradkhani, Mohammad Mahdi
- dc.date.accessioned 2021-11-18T10:16:29Z
- dc.date.available 2021-11-18T10:16:29Z
- dc.date.issued 2021
- dc.description Treball de fi de grau en Bioinformàtica. Curs 2020-2021ca
- dc.description Tutor: Antoni Guillamon Grabolosa
- dc.description.abstract In this project, a series of simulations are prepared using the Morris-Lecar model, and a set of mathematical theories and transformations are applied which lead to the result that a neuronal dynamical system’s electrical behaviour is equivalent when electrical inputs vary in short and long time intervals; as well as the result that the total synaptic input can be accurately estimated. However, the current solutions to the open problem of estimating the excitatory and inhibitory synaptic inputs, which are components of the total synaptic input, remain inaccurate.ca
- dc.format.mimetype application/pdf*
- dc.identifier.uri http://hdl.handle.net/10230/49011
- dc.language.iso engca
- dc.rights This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 licenseca
- dc.rights.accessRights info:eu-repo/semantics/openAccessca
- dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/ca
- dc.subject.keyword Computational neuroscienceen
- dc.subject.keyword Dynamical systemsen
- dc.subject.keyword Estimation of synaptic inputen
- dc.subject.keyword Single cell neuron modelen
- dc.subject.other Treball de fi de grau – Curs 2020-2021ca
- dc.title Estimation of the synaptic input under a single cell modelca
- dc.type info:eu-repo/semantics/bachelorThesisca