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Recognizing recurrent neural networks (rRNN): Bayesian inference for recurrent neural networks
2012
Biological cybernetics
Recurrent neural networks (RNNs) are widely used in computational neuroscience and machine learning applications. In an RNN, each neuron computes its output as a nonlinear function of its integrated input. While the importance of RNNs, especially as models of brain processing, is undisputed, it is also widely acknowledged that the computations in standard RNN models may be an over-simplification of what real neuronal networks compute. Here, we suggest that the RNN approach may be made both
doi:10.1007/s00422-012-0490-x
pmid:22581026
fatcat:y3prg6rhfjg2bivyndcydzmsoq