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Repository Details
This is a computational neuroscience project, done in the lab of Prof. Idan Segev at Hebrew University of Jerusalem. The goal of this project is to use a neural network to learn the relationship between the properties of neurons (channel conductances, etc.) and the neurons electrical output, as determined experimentally and via NEURON simulation. The program incorporates a genetic algorithm to find the inputs that will lead to the optimal output as defined by the result of the neural network.
