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Status: Unchecked ×Keyword: spatial representation learning ×Clear all

2 claims from 1 paper

1. Neuroscience › Memory and Neural Mechanisms

   Learning Conjunctive Representations

   Pettersen, Rogge and Lepperød · bioRxiv (Cold Spring Harbor Laboratory) · 2024

   The authors propose a similarity-based objective for training networks, which yields place-like representations, extends to context information, and produces remapping-like behaviour.

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   1. UncheckedNeural networks trained to encode several contexts learn distinct representations for each, showing remapping-like behaviour between contexts.“When trained to encode multiple contexts, networks learn distinct representations, exhibiting remapping behaviors between contexts.”
   2. UncheckedThe paper's proposed training objective gives the same value when a learned representation is rotated or otherwise orthogonally transformed.“The proposed objective is invariant to orthogonal transformations.”