Neurodynamics

BENG 260 / BGGN 260 / PHYS 279 | Fall 2017

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Schedule

All class meetings are from 3:00-4:50pm in Powell-Focht Bioengineering Hall, Room 161


Date Topic Lecture Materials
9/29 Orientation and computational laboratory introduction
10/4, 10/6 Biophysical foundations. Channel transport and membrane dynamics; Nernst equilibrium and Goldman-Hodgkin-Katz equation. W1 Lecture
10/11, 10/13 Full and reduced single-compartment neural models. Hodgkin-Huxley, FitzHugh-Nagumo and Moris-Lecar equations. W2 Lecture
10/18, 10/20 Nonlinear dynamics of neural firing. Null clines, stationary points, stability, bifurcation, limit cycles. W3 Lecture
10/25, 10/27 Conductance based models of synaptic coupling between neurons. Fast and slow acting chemical synapses, gap junctions. W4 Lecture
11/1, 11/3 Spike timing-dependent synaptic plasticity. Hebbian learning and principal component analysis. Mean-rate STDP model, correlation learning and homeostasis. W5 Lecture
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 Lecture
11/15, 11/17 Neurophysiology foundations, and brain connectivity. Making sense of the connectome data: causal dynamics from structural networks. W7 Lecture
11/22 Nonlinear dynamical system identification in neuroscience.
11/29, 12/1 Data assimilation and deep(est) learning.
12/6, 12/8 Project final presentations. All are welcome! Fall 2017 Projects