A Spiking Neural Network Builder for Systematic Data-to-Model Workflow

A Spiking Neural Network Builder for Systematic Data-to-Model Workflow

In building biological neural network models, it is crucial to efficiently convert diverse anatomical and physiological data into parameters of neurons and synapses and to systematically estimate unknown parameters in reference to experimental observations. Web-based tools for systematic model build...

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Bibliographic Details
Main Authors: Carlos Enrique Gutierrez, Henrik Skibbe, Hugo Musset, Kenji Doya
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
Series:Frontiers in Neuroinformatics
Subjects:
spiking neural networks
computational brain modeling
neural simulation
web application
data-to-model workflow
collective intelligence
Online Access:https://www.frontiersin.org/articles/10.3389/fninf.2022.855765/full

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https://www.frontiersin.org/articles/10.3389/fninf.2022.855765/full

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