MATH 680: Introduction to Computational Neuroscience

Instructor: Georgi Medvedev

Office hours: TBA

Office: 265 Korman Center

E-mail: medvedev@drexel.edu
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The course web page from the last year is here.

Syllabus

Text: E.M. Izhikevich, Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting , Springer, in press.

Lecture 1: The Hodgkin-Huxley model.

Lecture notes.
Matlab codes:
HH_function.m. Use this function to numerically integrate the HH model in Matlab (e.g., using ode15s).
HH_stimulate.m was used for the numerical experiment shown in Figure 3 (see lecture notes).

Lecture 2: The reduced HH model.

Lecture notes.

Lecture 3: Elements from the theory for ODEs.

Lecture notes.

Homework 3.

freqI.m: computes the frequency-current curve for the I_NaP+I_K model with high threshold I_K (type 1 model)

Student Presentations:
Bursting Pacemaker Neurons.
Transition between tonic spiking and bursting
Networks of competing neuron groups

MATLAB Primer by Kermit Sigmon