Difference between revisions of "Fundamentals of Computational Neuroscience (2nd Edition): Programs"
		
		
		
		
		
		
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| Line 3: | Line 3: | ||
== Appendices ==  | == Appendices ==  | ||
=== Programs ===  | === Programs ===  | ||
| − | {|  | + | {|  | 
| + | |-  | ||
| + | !scope="col"|MATLAB (.m)  | ||
| + | !scope="col"|SciLab (.sce)  | ||
| + | !scope="col"|Octave (.*)  | ||
|-  | |-  | ||
|[[Media:app_numinte.m|app_numinte.m]]||[[Media:app_numinte.sce|app_numinte.sce]]  | |[[Media:app_numinte.m|app_numinte.m]]||[[Media:app_numinte.sce|app_numinte.sce]]  | ||
Revision as of 15:01, 24 May 2011
The second edition of Fundamentals of Computational Neuroscience is now available at Oxford University Press and Amazon.ca.
Contents
Appendices
Programs
| MATLAB (.m) | SciLab (.sce) | Octave (.*) | 
|---|---|---|
| app_numinte.m | app_numinte.sce | |
| creature_state.m | creature_state.sce | |
| main.m | main.sce | 
Figures
Chapter 2
Programs
| EPSP.m | EPSP.sce | 
| hh.m | hh.sce | 
| wilson_euler.m | wilson_euler.sce | 
| wilson_ode.m | wilson_ode.sce | 
| wilson.m | wilson.sce | 
Figures
Chapter 3
Programs
| if_sim.m | if_sim.sce | 
| poisson_spiketrain.m | poisson_spiketrain.sce | 
Figures
Chapter 4
Programs
| normal.m | normal.sce | 
| oja.m | oja.sce | 
| weightDistribution.m | weightDistribution.sce | 
Figures
Chapter 5
Programs
| anninos.m | anninos.sce | 
| IzhikevichRanNet.m | IzhikevichRanNet.sce | 
| PowerSpectrum.m | PowerSpectrum.sce | 
Figures
Chapter 6
Programs
Figures
Chapter 7
Programs
| dnf.m | dnf.sce | 
| rnn_ode.m | rnn_ode.sce | 
| som.m | som.sce | 
Figures
Chapter 8
Programs
| ann_chaos.m | ann_chaos.sce | 
| ann_cont.m | ann_cont.sce | 
| ann_fixpoint.m | ann_fixpoint.sce | 
| ann_sparse.m | ann_sparse.sce | 
| lorenz_ode.m | lorenz_ode.sce | 
| lorenz.m | lorenz.sce | 
| rnn_ode.m | rnn_ode.sce | 
Figures
Chapter 9
Programs
| experts.m | experts.sce | 
| TDlearning.m | TDlearning.sce | 
| TDlearning2.m | TDlearning2.sce | 
Figures
Chapter 10
Programs
| ART1.m | ART1.sce | 
| ExpectationMaximization.m | ExpectationMaximization.sce |