Appliedstatisticsforneuroscience

Materials for UC Berkeley Neuroscience 299
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Short undergraduate course taught at University of Pennsylvania on computational and theoretical neuroscience. Provides an introduction to programming in MATLAB, single-neuron models, ion channel models, basic neural networks, and neural decoding.
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An open course in neural data science
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Preparatory Materials, Self-guided Learning, and Project Management for Neuromatch Academy activities
Appliedstatisticsforneuroscience26
4 years ago19Jupyter Notebook
Materials for UC Berkeley Neuroscience 299
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Materials for Methods in Neuroscience at Dartmouth (MIND) 2017 Summer School on Network Dynamics
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a laundry list of resources for MRI, fMRI, EEG, MEG...
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Materials and code for the Computation Neuroscience Course at the University of Tartu
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