GitHub - tmoldwin/NNGen: 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.

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
Tests		Tests
.dropbox.attr		.dropbox.attr
.spyderproject		.spyderproject
Analyzer.py		Analyzer.py
BestNet.pickle		BestNet.pickle
Lasagne.py		Lasagne.py
Lasagne2.py		Lasagne2.py
Normalizers.py		Normalizers.py
Normalizers.pyc		Normalizers.pyc
PN.py		PN.py
avgs2		avgs2
dataAnalysis.py		dataAnalysis.py
dataParser.py		dataParser.py
genetic.py		genetic.py
model (eel's conflicted copy 2015-09-03).pickle		model (eel's conflicted copy 2015-09-03).pickle
model.pickle		model.pickle
whole_population_0.txt		whole_population_0.txt

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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…