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AlexanderOtt 42ee462016 add condition that time constants (taus) are larger than 0
2020-04-02 10:00:53 +02:00
introduction
tests, correct stimulus-type for fi-curve, general changes
2020-03-11 18:03:21 +01:00
models
add condition that time constants (taus) are larger than 0
2020-04-02 10:00:53 +02:00
stimuli
add tests for sinusoidalStep, add FiCurve plot possibilities (temp), add initial simplex generation
2020-03-16 17:17:05 +01:00
tests
debug and add unittests 2
2020-03-02 16:31:45 +01:00
unittests
correct name of tester class, remove unrealistig test
2020-03-25 11:10:42 +01:00
.gitignore
inital commit
2019-12-20 13:32:36 +01:00
AdaptionCurrent.py
tests, correct stimulus-type for fi-curve, general changes
2020-03-11 18:03:21 +01:00
CellData.py
tests, correct stimulus-type for fi-curve, general changes
2020-03-11 18:03:21 +01:00
DataParserFactory.py
add warning for baseline spikestimes
2020-02-14 14:31:10 +01:00
FiCurve.py
add tests for sinusoidalStep, add FiCurve plot possibilities (temp), add initial simplex generation
2020-03-16 17:17:05 +01:00
fit_lifacnoise.py
use model intern calculation for the characterizing values
2020-03-27 10:28:12 +01:00
functionalityTests.py
add test for firerate model, move step size test
2020-01-15 14:32:30 +01:00
functions.py
add tests for sinusoidalStep, add FiCurve plot possibilities (temp), add initial simplex generation
2020-03-16 17:17:05 +01:00
generalTests.py
add tests for sinusoidalStep, add FiCurve plot possibilities (temp), add initial simplex generation
2020-03-16 17:17:05 +01:00
helperFunctions.py
add tests for sinusoidalStep, add FiCurve plot possibilities (temp), add initial simplex generation
2020-03-16 17:17:05 +01:00
main.py
delete out of date code
2020-01-27 13:43:42 +01:00
README.md
Initial commit
2019-12-20 13:23:17 +01:00
RelationAdaptionVariables.py
tests, correct stimulus-type for fi-curve, general changes
2020-03-11 18:03:21 +01:00

README.md

neuronModel

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Description
A leaky integrate-and-fire model with adaption current for P-units.
Readme 52 MiB
Languages
Python 83%
TeX 16.9%