IBG Lab 

Signal & Data Analysis in Neuroscience (27-505)

 

Second semester, 2022

 

Additional links

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Yarden Nativ - Lesson summaries (2020)

• 1 - SDA in Neuroscience

• 2 - Stochastic processes

• 3 - Poisson processes

• 4 - Point processes

• 5 - Encoding, discrimination, decoding

• 6 - Optimization

• 7 - Information theory

• 8 - PCA & ICA

• 9 - Clustering

• 10 - The frequency domain

• 11 - Wavelets

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Videos

• Information theory - MacKay course

• Information theory (Wordle example)

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Books

• Numerical recipes

• Theoretical Neuroscience - Dayan & Abbott (pdf)

• Signal processing for neuroscientists

• Practical optimization

• The Matrix Cookbook (pdf)

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Programming

• Introduction to Jupyter Notebooks

• Introduction to Python, NumPy and mostly SciPy (pdf)

• Introduction to python from cs231n with code examples on Colab

• How to upload data into google Colab

• Python exercises (1)  (2)

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Lectures

• Bayesian decisions

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Test examples

• 2007 Aleph

• 2007 Bet

• 2007 Gimel

• 2010 Aleph

• 2010 Bet

• 2013 Intermediate quiz 1

• 2013 Intermediate quiz 2

• 2013 Intermediate quiz 3

• 2013 Final quiz - Aleph

• 2013 Final quiz - Bet

• 2015 Aleph - Written

• 2015 Aleph - In-computo

• 2017 Aleph - Written

• 2017 Aleph - In-computo

• 2017 Bet - Written

• 2018 - Written

• 2018 - In-computo

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Other resources

• Ergodicity

• Kernel PCA lecture

• Fourier transform (YouTube movie)

• Fourier series of periodic signals (Applet)

• Fourier transform of spatial (image) signals

• Information Theory for Intelligent People

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