=== Syllabus for Introduction to Neurophysics (2020) ===
Neurophysics is a one-semester course focusing on analyzing neuroscience
phenomena from the perspective of physics. The background knowledge of the
course is minimal: basic linear algebra and dynamical-system analysis would be
fine. However, the topics addressed in this course can be truly challenging and
most of them are still rolling in the research frontiers.
Textbook: Neuronal Dynamics (Cambridge University Press) by Gerstner, Kistler,
Naud and Paninski
Classes: 13:20 – 16:20 on Fridays (Phys, R620)
Report: due in Final Week
Grades: report (100%)
Week 1
Brain and its neurons
Week 2
Action potential and integrate-and-fire model
Week 3
中秋節
Week 4
國慶日
Week 5
Ion channels and Hodgkin-Huxley model
Week 6
Dendrites and synapses
Week 7
Bifurcations in neuron models
Week 8
U(1) neuronal network
Week 9
metaneuron
Week 10
Decision making – excitation/inhibition neurons
Week 11
Associative memory
Week 12
Hopfield Network
Week 13
Learning – Hebbian rule for synaptic plasticity
Week 14
Principal-component analysis
Week 15
BCM theory
Week 16
開國紀念日
Week 17
Visual recognition
Week 18
Discussions on reports