|Course Instructor:||Mark Kramer (email, 3-4591)|
|Course Hours:||12:30-2 PM / TTh / MCS B23|
|Office Hours:||2:00-3:30 PM / TTh, or by appointment|
|Textbook:||MATLAB for Neuroscientists|
|Handouts . . .|
The plan - it's still flexible . . .
Week 1 (8)
Lecture: Introduction + Measures of coupling.
Week 2 (9)
Lecture: Cross frequency coupling and bicoherence.
Lab: Application of cross frequency coupling and bicoherence code and bicoherence.m. Sample data - data_1.mat and data_2.mat.
Week 3 (10)
Lecture: Relating spikes and fields through coherence.
Lab: The spike train spectrum and spike-field coherence code and my_cc_circ_shift.m. Sample data - case_study_1.mat and case_study_2.mat.
Week 4 (11)
Lecture: The FitzHugh-Nagumo model.
Lab: Analysis of the FitzHugh-Nagumo model.
Motivation - MATLAB code to first explore the Hodgkin-Huxley model.
Download and install XPPAUT binary from here.
Assignment for this week. The FitzHugh_Nagumo.ode file for XPPAUT. The FitzHugh_Nagumo.nb file for Mathematica.
Week 5 (12)
Lecture: Bifurcations and zero eigenvalues.
Lab: More practice with XPPAUT.
If you haven't already done so, download and install an XPPAUT binary from here.
Assignment for this week. The FitzHugh_Nagumo.ode file for XPPAUT (same as last week).
Week 6 (13)
Lecture: Three models of gamma.
Lab: ING, PING, and sparse PING. Lab code. Other code we'll need: HH0.m, ing.m, ping.m, and sparse_ping.m.