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Active Dendrites Enable Efficient Continual Learning in Time-To-First-Spike Neural Networks
While the human brain efficiently adapts to new tasks from a continuous stream of information, neural network models struggle to learn from sequential information without catastrophically forgetting previously learned tasks.
Online Spatio-Temporal Learning with Target Projection
Recurrent neural networks trained with the backpropagation through time (BPTT) algorithm have led to astounding successes in various temporal tasks.
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