Abstract: Unlike traditional feedforward neural networks, recurrent neural networks (RNNs) possess a recurrent connection that allows them to retain past information. This internal memory enables RNNs ...
We’re introducing improvements to Facebook’s Feed, search, and navigation systems so you can easily find what you are looking for and dive deeper into your interests. We’re streamlining how you create ...
Understanding how synaptic interactions lead to circuit dynamics for neural computation requires experimental tools that can both observe and perturb neuronal activity across spatial and temporal ...
The extraction of shift-invariant features is an essential problem in pattern recognition. We propose an extension of the max pooling function to extract the second-best maximum value outside the ...
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