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cs.NE2022
Temporal Weights
Adam Kohan, Ed Rietman, Hava Siegelmann
In artificial neural networks, weights are a static representation of synapses. However, synapses are not static, they have their own interacting dynamics over time. To instill wei…
cs.LG2022★ 2 cited
Signal Propagation: A Framework for Learning and Inference In a Forward Pass
Adam Kohan, Edward A. Rietman, Hava T. Siegelmann
We propose a new learning framework, signal propagation (sigprop), for propagating a learning signal and updating neural network parameters via a forward pass, as an alternative to…