Course Schedule

This is the first time this course is being offered at Vanderbilt, let alone being taught by the two of us. As such, we are not posting a detailed course schedule at the outset of the course because we are certain that the selection of topics and the order of topics will change as we work through preparing the lectures and the homework assignments.
The complete schedule of topics will be outlined and updated regularly on Blackboard.

Here is a tentative list of topics and approaches we may discuss over the course of the semester:

Introduction to Computational Neuroscience
Introduction to Matlab
Simple Feedforward Networks
Perceptrons
Multi-Layered Neural Networks
Supervised Network Learning
Unsupervised Network Learning
Hopfield Networks
Recurrent Neural Networks
Dynamic Neural Networks
Reinforcement Learning
Integrate and Fire Networks
Spiking Neural Networks
Deep Learning and Convolutional Neural Networks
Neural Models of Visual Perception
Neural Models of Memory
Neural Models of Decision Making
Scalp Electroencephalography (EEG)
Intracranial Electrocorticography (ECoG)
Analyzing Neural Oscillations
Functional Magnetic Resonance Imaging
Multivariate Pattern Analysis Techniques
Representational Similarity Analysis
Model-based Cognitive Neuroscience

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