intro_comp_neuro

Tutorials from An Introductory Course in Computational Neuroscience (Paul Miller, 2018) in jupyter notebooks.

Completing the original MATLAB textbook tutorials(see https://github.com/jlindbloom/EE-5341---Computational-Neuroscience for completed MATLAB scripts - very helpful!) in python.

Name		Name	Last commit message	Last commit date
Latest commit History 84 Commits
.ipynb_checkpoints		.ipynb_checkpoints
ch2 (neuron and minimal spiking models)		ch2 (neuron and minimal spiking models)
ch3 (individual spike train analysis)		ch3 (individual spike train analysis)
ch4 (conductance-based models)		ch4 (conductance-based models)
ch5 (connections between neurons)		ch5 (connections between neurons)
ch6 (firing-rate models, network dynamics)		ch6 (firing-rate models, network dynamics)
ch7 (dynamical systems)		ch7 (dynamical systems)
ch8 (learning and synaptic plasticity)		ch8 (learning and synaptic plasticity)
ch9 (analysis of population data)		ch9 (analysis of population data)
README.md		README.md
preliminary material.ipynb		preliminary material.ipynb

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