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Found 3 papers, 1 papers with code
Visual hyperacuity with moving sensor and recurrent neural computations
The dynamical sensory input is classified by a convolutional neural network with recurrent connectivity added to its lower layers, in analogy to recurrent connectivity in early visual areas.
DON’T JUDGE A BOOK BY ITS COVER - ON THE DYNAMICS OF RECURRENT NEURAL NETWORKS
To be effective in sequential data processing, Recurrent Neural Networks (RNNs) are required to keep track of past events by creating memories.
Understanding and Controlling Memory in Recurrent Neural Networks
Finally, we propose a novel regularization technique that is based on the relation between hidden state speeds and memory longevity.
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