Explaining Modular Representations with Range
An ICLR 2025 paper proposing that range, not just statistical independence, is the key factor that determines whether neural representations are modular or mixed.
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Meeting notes, discussions, opinions, and other interesting content related to NeuroAI and computational neurosciene.
Time Encoding in the Lateral Entorhinal Cortex
A presentation of the 2025 Science paper shows how the Lateral Entorhinal Cortex (LEC) encodes time via two mechanisms. A continuous 'slow drift' and abrupt 'shifts' at event boundaries.
Compositional Hippocampus Constructs Future Behavior
Hippocampal memory is compositional, and performs consolidation primarily through replay, allowing for zero-shot generalization and the construction of future behavior
Vector Hash Memory Model
The VectorHASH model separates memory content from a fixed, stable scaffold derived from hippocampal structure, integrating episodic and spatial memory
Geometry of Abstraction in the Brain
Understand how the dimensionality of abstract representation in the brain supports generalization
Learning Produces an Orthogonalized State Machine in the Hippocampus
The hippocampus learns by forming an "orthogonalized state machine," enabling contextual separation and flexible learning.