Colin Bredenberg

5 papers · 2020–2024 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird

Venues

NeurIPS (3) ICLR (1) ICML (1)

Top co-authors

Guillaume Lajoie (3) Cristina Savin (3) Eero P. Simoncelli (2) Ezekiel Williams (2) Blake Aaron Richards (1) Blake Richards (1) Daniel Levenstein (1) Benjamin Lyo (1) Nanda H Krishna (1)

Research topics

Machine Learning (4) Deep Learning (3) Interdisciplinary (3) Cognitive Science (3) Architectures (2) Learning Types · Machine Learning (2) Learning Types · Deep Learning (2) Optimization & Theory (2) Artificial Intelligence (1) Core AI (1) Core Methods (1) Learning Paradigms (1) Science (1)

Keywords

synaptic plasticity (3) recurrent neural network (2) contrastive learning (1) bayesian inference (1) local learning (1) neuromorphic computing (1) temporal dynamics (1) hebbian learning (1) state estimation (1) biological plausibility (1) reward-modulated hebbian learning (1) sensory coding (1) learning algorithm (1) learning dynamics (1) latent structure (1) biological plausible (1) temporal locality (1) biological neural network (1) theoretical framework (1) neural network (1)

Papers

Sufficient conditions for offline reactivation in recurrent neural networks ICLR 2024 Flexible Phase Dynamics for Bio-Plausible Contrastive Learning ICML 2023 Formalizing locality for normative synaptic plasticity models NeurIPS 2023 Impression learning: Online representation learning with synaptic plasticity NeurIPS 2021 Learning efficient task-dependent representations with synaptic plasticity NeurIPS 2020