Search Results for author: Darjan Salaj

Found 3 papers, 2 papers with code

Eligibility traces provide a data-inspired alternative to backpropagation through time

no code implementations NeurIPS Workshop Neuro_AI 2019 Guillaume Bellec, Franz Scherr, Elias Hajek, Darjan Salaj, Anand Subramoney, Robert Legenstein, Wolfgang Maass

Learning in recurrent neural networks (RNNs) is most often implemented by gradient descent using backpropagation through time (BPTT), but BPTT does not model accurately how the brain learns.

speech-recognition Speech Recognition

Biologically inspired alternatives to backpropagation through time for learning in recurrent neural nets

3 code implementations25 Jan 2019 Guillaume Bellec, Franz Scherr, Elias Hajek, Darjan Salaj, Robert Legenstein, Wolfgang Maass

This lack of understanding is linked to a lack of learning algorithms for recurrent networks of spiking neurons (RSNNs) that are both functionally powerful and can be implemented by known biological mechanisms.

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