Theoretical Neuroscience Lecture Notes - Peter Latham
Handwritten notes:
passive neurons and hodgkin huxley
simplified model, suitable for nullcline analysis
a little philosophy, and nullcline construction
passive dendrites and axons
synapses
also synapses, but an older set of notes
philosophy + phase plane analysis; not used
grand summary of biophysics
Wilson-Cowan equations
computing with population codes
Hopfield networks, part 1
Hopfield networks, part 2
bump attractos
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What you should have learned from my lectures
Typed notes:
a brief intro to the biophysics of single neurons
dendrites and axons
simplified hodgkin huxley nullclines,
same but on a log scale
linear analysis
math -- mainly linear algebra
randomly connected networks
Hopfield networks
line attractor networks
dynamic mean field theory, based on
this paper (but simpler)
networks with time-varying dynamics
node perturbation