NEUR 415, Theoretical Neuroscience, Fall 2008


Lectures 1-14.

Goal: Achieve a quantitative understanding of this cartoon. For a glimpse of the missing anatomical detail please view figure 2 in this paper and note that our cortex has 300,000,000 synapses per milligram!

Attitude: "teaching physiology without a mathematical description of the underlying dynamical processes is like teaching planetary motion to physicists without mentioning or using Kepler's laws; you can observe that there is a full moon every 28 days, but without Kepler's laws you cannot determine when the next total lunar or solar eclipse will be" (Keener & Sneyd)

Aug. 26 and 28, The Passive Isopotential Cell, D&A Chapter 5.
     Matlab code: feps.m and beps.m
     Assignment 1: Class notes, Chapter 1 and 2, all exercises, due in class Thursday, September 4.

Sep. 2 and 4, The Active Isopotential Cell , D&A Chapter 5.
     Outside Reading: Hodgkin and Huxley
     Matlab code: Slow Demo heas.m and Fast spike counter heas_sp.m
     Assignment 2: Class notes, Chapter 3, all exercises, due in class Thursday, September 11.

Sep. 9 and 11, The Quasi-Active Isopotential Cell , D&A Chapter 5.
     Matlab code: heasper.m hhsym0.m
     Assignment 3: Class notes, Chapter 4, all exercises, due in class Tuesday, September 23.

Sep. 16 and 18, The Passive Fiber , D&A Chapter 6.
     Matlab code: evec.m bepfib.m
     Assignment 4: Class notes, Chapter 5, all exercises, due in class Thursday, October 2.

Sep. 23, 25 and 30, The Passive Dendritic Tree , D&A Chapter 6.
     Matlab code: bevec.m befork.m
     Assignment 5: Class notes, Chapter 6, all exercises, due 5pm Wed Oct 15.

Oct. 2, 7 and 9, The Active Spiny Tree , D&A Chapter 6.
     Matlab code: heafib.m hefork.m heafibA.m heafibAampa2.m heafibAampa2nmda.m
     Assignment 6: Class notes, Chapter 7, all exercises, due in class XXX


Fall Recess: October 13-14

Lectures 15-28.

Oct. 16 and 21, Quantal hypothesis and stochastic models of synaptic release

Oct. 23 and 28, Spontaneous activity and quantification of neuronal variability

Oct. 30 and Nov. 4, Integration of synaptic inputs in dendritic trees

Nov. 6 and 11, Simplified models of neuronal activity

Nov. 13 and 18, Encoding of stimuli by instantaneous firing rate

Nov. 20 and 25, Models of V1 simple and complex cells

Thanksgiving Recess: November 27-28

Dec. 2, Reverse-correlation methods for receptive field estimation

Dec. 4, Correlating spikes with behavior