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Signal & Data Analysis in Neuroscience (27-505)
Second semester, 2020
Syllabus
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Signals & data in neuroscience
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Stochastic processes
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Poisson processes
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Single spike train
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Multiple spike trains
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Event related activity
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Neural encoding
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Neural discrimination
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Neural decoding
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Optimization
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Information theory
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Frequency domain
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Systems
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Filters
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Spectral analysis
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Wavelets
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Clustering
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Dimensionality reduction
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Independent component analysis (ICA)
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