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Found 3 papers, 1 papers with code
Connecting levels of analysis in the computational era
Neuroscience and artificial intelligence are closely intertwined, but so are the physics of dynamical system, philosophy and psychology.
Inference of a mesoscopic population model from population spike trains
We derive the likelihood of both single-neuron and connectivity parameters given this activity, which can then be used to either optimize parameters by gradient ascent on the log-likelihood, or to perform Bayesian inference using Markov Chain Monte Carlo (MCMC) sampling.
An online Hebbian learning rule that performs Independent Component Analysis
Independent component analysis (ICA) is a powerful method to decouple signals.
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