=== 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