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Python codes for Paper: An Efficient and Flexible Spike Train Model via Empirical Bayes

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Name		Name	Last commit message	Last commit date
Latest commit History 79 Commits
examples		examples
README.md		README.md
mcmc.py		mcmc.py
models.py		models.py
snn.py		snn.py

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EB_spikes_trains

Python Code for Paper: An Efficient and Flexible Spike Train Model via Empirical Bayes Link

models.py

Simulation and Estimations using the 'SODS', NB-GLM, Poisson-GLM models.

snn.py

Simulation for Spiking Neural Network Data

mcmc.py

Estimation using MCMC (NUTS).

examples.py

Examples of simulation and estimations using the 'SODS', NB-GLM, Poisson-GLM models. (To be done)

package required:

python
brian2
matplolib
scipy
numpy
pandas
scikit-learn
pymc3