Homework for APC591

Solutions are currently not posted - please contact Jeff Moehlis if you want access to the solutions.

Homework #1 - Due Friday, Sept. 28, 5:00PM (pdf)
Homework #1 Solutions (pdf) - note, David Tank's discussion of 2(b) will be available soon

Matlab programs from solutions to Homework #1:
HH.m
an.m
bn.m
am.m
bm.m
ah.m
bh.m
HH_check.m
HH_check_exact.m
HH_fI.m
HH_robust.m


Homework #2 - Due Friday, Oct. 12, 5:00PM (pdf)
Homework #2 Solutions (pdf)

Matlab programs from solutions to Homework #2:
IFsingleneuron.m
Vexact.m
IFsingleneuron_Iramp.m
IFreciprocalpair_noisy_input.m
IFreciprocalpair_noisy_synapses.m
poisson.m

file of Poisson sequence with m=1 - if your Matlab setup doesn't support the command "random('Poisson',m)", download this, then at the Matlab prompt type "load pp". This will read in a vector called "p" which has over 200000 numbers generated from a Poisson process with m=1. You can then use these for #3 of Homework #2.


Homework #3 - Due Friday, Oct. 26, 5:00PM (pdf)
Homework #3 Solutions (pdf)

Matlab programs from solutions to Homework #3:
vjump.m
mu_Vc.m


Homework #4 - Due Wednesday, Nov. 7, 5:00PM (pdf)
Homework #4 Solutions (pdf)

Matlab programs from solutions to Homework #4:
tissue.m
rd.m


Homework #5 - Due Friday, Nov. 16, 5:00PM (pdf)
Homework #5 Solutions (pdf)
Homework #6 - Due Friday, Nov. 30, 5:00PM (pdf)
Homework #6 Solutions (pdf)

Matlab programs from solutions to Homework #6:
SIR.m
func_SIR.m
next_gen.m


Homework #7 - Due Tuesday, Dec. 18, 5:00PM (pdf)
Homework #7 Hint (pdf)
Homework #7 Solutions (pdf)

Capstone Experience: Research Project Proposal (pdf) - written report to be emailed in pdf format to jmoehlis@math.princeton.edu by Monday, Jan 14, 5:00PM
Time for oral presentations to be determined.

For those of you who cannot run "random('Poisson',m)" on Matlab on your computer, this can be corrected by downloading the following files into your work directory:
random.m
poissrnd.m
rndcheck.m
The following resources might be useful for the homework problems:

Online Matlab Help

MATLAB primer: ps, pdf

Matlab Tutorial from MAE305, Spring 1997.

XPP (code and tutorial) available from: here

Arthur Sherman's lecture notes on numerical methods in computational neuroscience: ps.gz

Similar notes, by Michael Mascagni and Arthur Sherman, from Methods in Neuronal Modeling, Koch and Segev, eds, 2nd edition: ps.gz


To access files on your university Unix account from a Windows computer, please read the web document http://www.princeton.edu/~datarec/educ/samba.shtml .