4 citations · 10 across the 4 of their papers we have counts for
5 papers
Gated Target Propagation for Compositional Generalization in Continual Learning
Abdel Mfougouon Njupoun, Colin Bredenberg, Blake Aaron Richards +1
Continual learning is typically framed as acquiring new knowledge without catastrophically forgetting previous tasks. However, a flexible continual learner should also be able to r…
Sufficient conditions for offline reactivation in recurrent neural networks
Nanda H. Krishna, Colin Bredenberg, Daniel Levenstein +2
During periods of quiescence, such as sleep, neural activity in many brain circuits resembles that observed during periods of task engagement. However, the precise conditions under…
Desiderata for normative models of synaptic plasticity
Colin Bredenberg, Cristina Savin
Normative models of synaptic plasticity use a combination of mathematics and computational simulations to arrive at predictions of behavioral and network-level adaptive phenomena.…
Adaptive coding efficiency in recurrent cortical circuits via gain control
Lyndon R. Duong, Colin Bredenberg, David J. Heeger +1
Sensory systems across all modalities and species exhibit adaptation to continuously changing input statistics. Individual neurons have been shown to modulate their response gains…
Flexible Phase Dynamics for Bio-Plausible Contrastive Learning
Ezekiel Williams, Colin Bredenberg, Guillaume Lajoie
Many learning algorithms used as normative models in neuroscience or as candidate approaches for learning on neuromorphic chips learn by contrasting one set of network states with…