Neuronalyser

planning

A tool for analysing and optimising computational models of neurons

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Description

Analyse the effect that parameter variation has on model dynamics, for a range of popular computational model neuron types, to help choose appropriate model neuron parameters for your neural network simulation.

Fit a neuron model's variable values to real experimental data, using either the genetic algorithm or simulated annealing optimisation method, for fast and automated model parameter estimation.

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Additional Project Details

Intended Audience

Science/Research

Programming Language

C++

Registered

2013-09-19
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