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Working Memory Influences Reinforcement Learning Computations in Brain and Behavior
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Anne Collins, UC Berkeley
Computational Theories of the Brain
Computational Theories of the Brain
Working Memory Influences Reinforcement Learning Computations in Brain and Behavior
BI 154 Anne Collins: Learning with Working Memory
Xiao-Jing Wang - Circuit mechanism and bifurcation in space underlying distributed working memory
Memory and Reinforcement Learning -- Charles Blundell (11/24/2020)
Ellen on Working Memory
Christos Constantinidis - Working Memory: Neurophysiological Basis, Development, and Plasticity
Reinforcement Learning: Bringing Together Computation, Behavior and Neural Coding
Working memory transforms goals into rewards
BEACON Seminar: Striatal dopamine and the costs and benefits of cognitive effort
Flora Bouchacourt - A flexible model of working memory (Cosyne 2018)
David Heeger, NYU: ORGaNICs: A theory of working memory in brains and machines
Learning to Ponder: Memory in Deep Neural Networks - #528
Dissociable neural mechanisms of opening vs. closing the gate to working memory
Introduction: Reinforcement Learning and the Brain
CCN 2019: GS-6.2: A Memory-Augmented Reinforcement Learning Model of Food Caching Behaviour in Birds
Reinforcement learning: Fast and slow - Matthew Botvinick
BI 156 Mariam Aly: Memory, Attention, and Perception
Reinforcement Learning in Neuroscience
Persistent hippocampal neural firing and hippocampal-cortical coupling predict verbal working memory
Working Memory
Thomas Limbacher - Memory-enriched computation & learning in SNNs through Hebbian plasticity
TED Talk USW for Working Memory - Veronica Cavazos
Using Deep Reinforcement Learning to Uncover the Decision-Making Mechanisms - L. Cross - 10/25/2019
Clustering and generalization of abstract structures in reinforcement learning
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