The relational bottleneck as an inductive bias for efficient abstraction
A central challenge for cognitive science is to explain how abstract concepts are acquired
from limited experience. This has often been framed in terms of a dichotomy between …
from limited experience. This has often been framed in terms of a dichotomy between …
[HTML][HTML] Replay and compositional computation
Replay in the brain has been viewed as rehearsal or, more recently, as sampling from a
transition model. Here, we propose a new hypothesis: that replay is able to implement a form …
transition model. Here, we propose a new hypothesis: that replay is able to implement a form …
Interactive continual learning: Fast and slow thinking
B Qi, X Chen, J Gao, D Li, J Liu… - Proceedings of the …, 2024 - openaccess.thecvf.com
Advanced life forms sustained by the synergistic interaction of neural cognitive mechanisms
continually acquire and transfer knowledge throughout their lifespan. In contrast …
continually acquire and transfer knowledge throughout their lifespan. In contrast …
A generative model of memory construction and consolidation
Episodic memories are (re) constructed, share neural substrates with imagination, combine
unique features with schema-based predictions and show schema-based distortions that …
unique features with schema-based predictions and show schema-based distortions that …
A model of autonomous interactions between hippocampus and neocortex driving sleep-dependent memory consolidation
How do we build up our knowledge of the world over time? Many theories of memory
formation and consolidation have posited that the hippocampus stores new information, then …
formation and consolidation have posited that the hippocampus stores new information, then …
Synaptic weight dynamics underlying memory consolidation: Implications for learning rules, circuit organization, and circuit function
BJ Bhasin, JL Raymond, MS Goldman - Proceedings of the National …, 2024 - pnas.org
Systems consolidation is a common feature of learning and memory systems, in which a
long-term memory initially stored in one brain region becomes persistently stored in another …
long-term memory initially stored in one brain region becomes persistently stored in another …
[HTML][HTML] The algorithmic agent perspective and computational neuropsychiatry: from etiology to advanced therapy in major depressive disorder
Major Depressive Disorder (MDD) is a complex, heterogeneous condition affecting millions
worldwide. Computational neuropsychiatry offers potential breakthroughs through the …
worldwide. Computational neuropsychiatry offers potential breakthroughs through the …
CrowdTransfer: Enabling Crowd Knowledge Transfer in AIoT Community
Artificial Intelligence of Things (AIoT) is an emerging frontier based on the deep fusion of
Internet of Things (IoT) and Artificial Intelligence (AI) technologies. The fundamental goal of …
Internet of Things (IoT) and Artificial Intelligence (AI) technologies. The fundamental goal of …
Inhibitory plasticity supports replay generalization in the hippocampus
Memory consolidation assimilates recent experiences into long-term memory. This process
requires the replay of learned sequences, although the content of these sequences remains …
requires the replay of learned sequences, although the content of these sequences remains …
Beyond hippocampus: Thalamic and prefrontal contributions to an evolving memory
The hippocampus has long been at the center of memory research, and rightfully so.
However, with emerging technological capabilities, we can increasingly appreciate memory …
However, with emerging technological capabilities, we can increasingly appreciate memory …