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Found 3 papers, 1 papers with code
Learning dynamic representations of the functional connectome in neurobiological networks
We introduce an unsupervised approach to learn the dynamic affinities between neurons in live, behaving animals, and to reveal which communities form among neurons at different times.
To reverse engineer an entire nervous system
More fundamentally, reconstructing or modeling a system is an important milestone in understanding it, and so, simulating an entire nervous system is in itself one of the goals, indeed dreams, of systems neuroscience.
Sinkhorn Permutation Variational Marginal Inference
This problem is known to quickly become intractable as the size of the permutation increases, since its involves the computation of the permanent of a matrix, a #P-hard problem.
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