9.29J | Spring 2004 | Undergraduate

Introduction to Computational Neuroscience


Problem Set 1: Linear Regression, Convolution, and Correlation (PDF) To do the homework, you will need to download 4.7 MB of data fish.mat (MAT) (Courtesy of Professor Fabrizio Gabbiani of Baylor College of Medicine. Used with permission.) If you have a slow data link, you might want to download the abridged version fish10000.mat (MAT) instead, which is just the first 10000 samples. If you have trouble loading the file on windows (“file may be corrupt”), then try downloading the zipped version fish.zip (ZIP).
Problem Set 2: More Convolution and Correlation (PDF)  
Problem Set 3: Visual Receptive Fields and Least Squares (PDF) (Courtesy of Prof. Clay Reid of Harvard Medical School. Used with permission.) Data for #5 ganglion.mat (MAT) (Courtesy of Prof. Clay Reid of Harvard Medical School. Used with permission.)
Problem Set 4: Operant Matching and Games (PDF)  
Problem Set 5: Passive Models of Neurons (PDF)  
Problem Set 6: Extensions of the Hodgkin-Huxley Model (PDF) Code cc.m (M)

Dayan, Peter, and L. F. Abbott. “Connor-Stevens model.” Part of chapter 6 in Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems. Cambridge, MA: MIT Press, 2001. ISBN: 9780262041997.

Problem Set 7: Simulation of Synaptic Inputs (PDF) Song, S., K. Miller, and L. Abbott. “Competitive Hebbian learning through spike-timing-dependent synaptic plasticity.” Nature Neuroscience 3, no. 9 (2000): 919-926.
Problem Set 8: Models of Associative Memory (PDF)  

Course Info

As Taught In
Spring 2004
Learning Resource Types
Lecture Notes
Problem Sets