neuroneq
A GUI-based python tool to visualize equations used in simulated neurons.
Code example
Easily convert from alpha/beta to tau/inf
import matplotlib.pyplot as plt
from neuroneq import ab2inf_tau, fit_inf
import numpy as np
alpha = "((v+45)/10)/(1-exp(-(v+45)/10))"
beta = "4*exp(-(v+70)/18)"
# convert to inf, tau
inf, tau = ab2inf_tau(alpha,beta)
# fit the equation to standard form
fit_equation = fit_inf(inf)
print(fit_equation)
# 1.0/(1.0+(exp((v+44.57)/(-9.55))))
# plot
min_v, max_v = -100, 50
v = np.linspace(float(min_v),float(max_v),2000)
fit_equation_np = fit_equation.replace("exp(","np.exp(")
y = eval(fit_equation_np)
plt.plot(v, y, 'r-',label="fit")
plt.show()
1 maintainer
Metadata
1 maintainer
Release files for neuroneq 0.0.6
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| File | Size | Uploaded | Provenance | |
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| neuroneq-0.0.6.tar.gz | 11.3 kB | Without provenance | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| neuroneq-0.0.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 23.0 kB
Release files / neuroneq-0.0.6.tar.gz
| Download URL | neuroneq-0.0.6.tar.gz |
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Release files / neuroneq-0.0.6-py3-none-any.whl
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| Size | 11.7 kB |
| Tags | Python 3 |
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