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Evaluating biological plausibility of learning algorithms the lazy way
To which extent can successful machine learning inform our understanding of biological learning?
A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks
We present a framework for compactly summarizing many recent results in efficient and/or biologically plausible online training of recurrent neural networks (RNN).
Using local plasticity rules to train recurrent neural networks
To learn useful dynamics on long time scales, neurons must use plasticity rules that account for long-term, circuit-wide effects of synaptic changes.
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