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