9.29 Computational Neuroscience
Spring 2004
Problem Sets
- Problem Set 1: Linear regression, convolution, and correlation. (pdf) Due Thursday, February 12 in class.
- To do the homework, you will need to download 4.7 Mb of data, generously provided by
Prof. Fabrizio Gabbiani of Baylor College of Medicine. If you have a
slow data link, you might want to download the abridged version 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.
- You might want to consult this MATLAB
quick reference.
- Here are some other resources:
- The first optional lecture covered introductory MATLAB
(lecture notes available here).
- To find out how to use MATLAB on Athena, take a look at MATLAB at MIT
- It might be worth taking a Athena minicourse on MATLAB.
Some sessions are offered next week.
- Complete documentation is available at the MATLAB help desk,
which can be accessed on Athena by typing "helpdesk" at the MATLAB
prompt. Check out the tutorial "Getting started with MATLAB"
- Solutions for problem set 1. (pdf)
- Problem Set 2: More convolution and correlation. (pdf) Due Thursday, February 19 in class.
- Solutions for problem set 2. (pdf)
- Problem Set 3: Visual receptive fields and least squares. (pdf, ps) Due Thursday, February 26 in class.
- Download data for #5 here.
- Solutions for problem set 3. (pdf)
- Problem Set 4: Operant matching and games. (pdf)
Due Thursday, March 9.
- Solutions for problem set 4. (pdf)
- Problem Set 5: Passive models of neurons. (pdf)
Due Tuesday, April 13.
- Solutions for problem set 5. (pdf)
- Problem Set 6: Extensions of the Hodgkin-Huxley Model. (pdf) Due Thursday, April 22.
- Solutions for problem set 6. (pdf)
- Problem Set 7: Simulation of synaptic inputs. (pdf) Due Thursday, April 29.
- Solutions for problem set 7. (pdf)
- Problem Set 8: Models of Associative Memory. (pdf) Due Thursday, May 6.
- Solutions for problem set 8. (pdf)