JuliaNeuroscience
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NeuroCore.jl
NeuroCore.jl PublicCore methods and structures for neuroscience research in Julia.
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SpikeSynchrony.jl
SpikeSynchrony.jl PublicJulia implementations for measuring distances, synchrony and correlation between spike trains
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AllenBrain.jl
AllenBrain.jl PublicAccessing and analyzing data from the Allen Brain Atlas
Repositories
- SpikingNeuralNetworks.jl Public Forked from JuliaSNN/SpikingNeuralNetworks.jl
Julia Spiking Neural Network Simulator
JuliaNeuroscience/SpikingNeuralNetworks.jl’s past year of commit activity - SpikeSynchrony.jl Public
Julia implementations for measuring distances, synchrony and correlation between spike trains
JuliaNeuroscience/SpikeSynchrony.jl’s past year of commit activity - SpikeNetOpt.jl Public template Forked from russelljjarvis/SpikingNeuralNetworks_.jl
Julia has enough tools to support fitting spiking neural network models to data. Python speed necessitates external simulators to do network simulation. As much as possible it would be nice to do fast, efficient data fitting of spike trains to network models in one language, lets try to do that here.
JuliaNeuroscience/SpikeNetOpt.jl’s past year of commit activity - AnatomicalTraits.jl Public
JuliaNeuroscience/AnatomicalTraits.jl’s past year of commit activity - NeuroStudies.jl Public
JuliaNeuroscience/NeuroStudies.jl’s past year of commit activity