Principles of Neuroscience NESC6100 (Winter 2003)

Module on Computational Neuroscience

Time: Friday, March 28 and Wednesday, April 2

Location: Physiology Library (Room 3A-1, Tupper Building)

A) General Reading:

1. Very general introduction to Computational Neuroscience:

Thomas Trappenberg, Fundamentals of Computational Neuroscience, Chapter 1: Introduction, Oxford University Press, 2002, pp 1-12 (fcns1.pdf)

2. Overview about spike-time depended plasticity:

Abbott LF, Nelson SB, Synaptic Plasticity: Taming the beast; Abbott LF, Nelson SB, Nature Neuroscience Supplement 3:1178-1183, 2000 (nn_1120_abbott.pdf)

3. Some more details and introductions to the topic of this module, including the target articles:

Thomas Trappenberg, Fundamentals of Computational Neuroscience, Chapter 7: Associators and Synaptic Plasticity, Oxford University Press, 2002, pp 146-173 (fcns7.pdf)

B) Research Papers:

1. Song S, Miller KD, Abbott LF, Competitive Hebbian Learning Through Spike-Timing-Dependent Synaptic Plasticity; Nature Neuroscience 3:919-926; 2000 (nn0900_919.pdf)

2. van Rossum MCW, Bi GQ, Turrigiano GG, Stable Hebbian Learning from Spike Timing-Dependent Plasticity, Journal of Neuroscience, 20:8812-8821, 2000 (vanRossum.pdf)