Simulation-based inference in PyTorch
Python toolkit for working with high-dimensional neural data recorded during naturalistic, continuous stimuli
A simple interface to easily switch between using Theano and pure Numpy
Brian is a free, open source simulator for spiking neural networks.
Simulator of the pyloric network in cython.
Raw results for Benchmarking SBI manuscript hosted on LFS
Code for "Training deep neural density estimators to identify mechanistic models of neural dynamics"
Code and data for 'Signatures of criticality arise in simple neural populations models with correlations'
SBI JOSS manuscript source
Hidden Markov Models (HMMs) with tied states and autoregressive observations
Density estimation likelihood-free inference
Gaussian process method for inferring cortical maps (Python version)
Normalizing flows in PyTorch
Python 3 port of SNL
CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations
Dichotomized Gaussian model implemented in python
Approximate Bayesian Computation (Applied Cognitive Modeling course 2017)
A Generic Framework for Likelihood-Free Inference
Anonymized code for ICML 2019 submission
subspace identficiation for partially observed high-dimensional data
A first start as a resource for pooling lecture materials for computational neuroscience course
To identify features by aggregate-label learning in spiking neurons
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