Generative Adversarial Collaborations (CCN GACs)
Vol. 1, 2022April 27, 2022 EDT
Current State and Future Directions for Learning in Biological Recurrent Neural Networks: A Perspective Piece
Current State and Future Directions for Learning in Biological Recurrent Neural Networks: A Perspective Piece
synaptic plasticity biologically plausiblelearning neuromodulation stability-flexibility dilemma continual learning catastrophicforgetting eligibility traces backpropagation through time recurrent neural networks
Henha Eyono, Roy, Ellen Boven, Arna Ghosh, Joseph Pemberton, Franz Scherr, Claudia Clopath, Rui Ponte Costa, et al. 2022. “Current State and Future Directions for Learning in Biological Recurrent Neural Networks: A Perspective Piece.” Neurons, Behavior, Data Analysis, and Theory 1 (April). https://doi.org/10.51628/001c.35302.