BENG 260 / BGGN 260 / PHYS 279 | Fall 2019

Home Lectures Reading Assignments Project Project Archive


All class meetings are in Powell-Focht Bioengineering Hall, Fung Auditorium

Date Topic Lecture Materials
9/27 Orientation and computational laboratory introduction
9/30, 10/4 Biophysical foundations. Channel transport and membrane dynamics; Nernst equilibrium and Goldman-Hodgkin-Katz equation. W1 Lectures
10/7, 10/11 Full and reduced single-compartment neural models. Hodgkin-Huxley, FitzHugh-Nagumo and Moris-Lecar equations. W2 Lectures
10/14, 10/18 Nonlinear dynamics of neural firing. Null clines, stationary points, stability, bifurcation, limit cycles. W3 Lectures
10/21, 10/25 Conductance based models of synaptic coupling between neurons. Fast and slow acting chemical synapses, gap junctions. W4 Lectures
10/28, 11/1 Spike timing-dependent synaptic plasticity. Hebbian learning and principal component analysis. Mean-rate STDP model, correlation learning and homeostasis. W5 Lectures
11/4, 11/8 Computational modeling and efficient emulation of large networks. Conductance-based integrate-and-fire models; time-domain and event-based emulators; neuromorphic systems. W6 Lectures
11/15 Subha Sivagnanam and Amit Majumdar: The Neuroscience Gateway -- Enabling large scale simulation and data processing in neuroscience
Tom Bartol: Monte Carlo modeling of molecular synaptic dynamics
Terrence Sejnowski: Learning how to soar like a bird
11/25 Scott Makeig: Human cognitive event-related brain dynamics
12/2, 12/6 Project final presentations. All are welcome! Fall 2019 Projects