Activation functions are fundamental to the representational power of deep neural networks, introducing non-linearity that enables the modelling of complex patterns beyond linear relationships. Early ...
Trained recurrent neural networks (RNNs) have become the leading framework for modelling neural dynamics in the brain, owing to their capacity to mimic how population-level computations arise from ...
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