CSCI 6508 Neurocomputing

Fundamentals in Computational Neuroscience

Nov 1: Final presentations are now open for registration (see project presentation schedule). Also, there will be no class on November 10 and November 22.

Oct 17: The project presentation schedule is now available. Make sure your project presentation has been scheduled. Also, as promissed, here is the Kohonen style SOM program.

Oct 12: Here are my preceptron programs. Simple perceptron with sigmoid and threshold activation function, and the MLP. There is also a program for the noise evaluation after training the MLP. You need the functions to produce noisy patterns .

Also, I have a project that requires an implementation of a quite detailed model of a photoreceptor is someone is interested. This is not a network level but classical physiological neuroscience. It mainly requires the implementation of ODEs.

Oct. 6: Its time to pick a project

Oct 4: Assignment3 (auto-associative memory)

Sept 29: Assignment2 (perceptron for pattern recognition)

Sept.13: Assignment 1 (solving differnetial equations/ numerical integration)

This course introduces the principles of information-processing in the brain. We concentrate on the functionality of single neurons, networks of neurons, and large-scale neural architectures for specific cognitive functions. The course includes a review of solving basic ODE’s numerically and the use of the MATLAB programming environment.

A major part of the course includes an individual research project which requires a literature survey and the implementation of some simulations. Individual meetings are expected. The evaluation will be mainly based on the research paper. Each student must also present a critical review of a journal paper

100% Projects

It is important for students to be aware of the Intellectual Honesty regulations at Dalhousie University. Please see http://plagiarism.dal.ca/ for more information. Any suspected cases of plagiarism will be forwarded to the Senate Discipline Committee.