Homework #1 - Due Friday, Sept. 27, 5:00PM (pdf)

Homework #1 Solutions (pdf)

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

Homework #2 - Due Friday, Oct. 11, 5:00PM (pdf)

If you are having trouble running the command "rand('Poisson',m)" in Matlab, download these files into your current directory - the command should then work.

random.m

poissrnd.m

rndcheck.m

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

Homework #3 - Due Friday, Oct. 18, 5:00PM (pdf)

Homework #3 Solutions (pdf)

Matlab programs from solutions to Homework #3:

SIR_stoch.m

SIR.m

evalues.m

SIRS.m

Homework #4 - Due Wednesday, Nov. 6, 5:00PM (pdf)

Homework #4 Solutions (pdf)

Matlab programs from solutions to Homework #4:

SIR.m

func_SIR.m

next_gen.m

Homework #5 - Due Friday, Nov. 22, 5:00PM (pdf)

Homework #5 Solutions (pdf)

Homework #6 - Due Friday, Dec 13, 5:00PM (pdf)

Homework #6 Solutions (pdf)

Matlab program from solutions to Homework #6:

vjump.m

Homework #7 - Due Friday, Dec 20, 5:00PM (pdf)

Homework #7 Solutions (pdf)

Matlab program from solutions to Homework #7:

rd.m

The following resources might be useful for the homework problems:

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

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