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Found 2 papers, 2 papers with code
Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows
We present Sequential Neural Likelihood (SNL), a new method for Bayesian inference in simulator models, where the likelihood is intractable but simulating data from the model is possible.
Integration of rule-based models and compartmental models of neurons
To construct models of synaptic plasticity with realistic numbers of proteins, we aim to combine rule-based models of molecular interactions in the synaptic proteome with compartmental models of the electrical activity of neurons.
Neurons and Cognition
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