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1,545 claims from 958 papers are on the record. 46 have been checked so far; the other 1,499 have no check with a result yet.

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Status: Unchecked ×Keyword: continuous attractor networks ×Clear all

5 claims from 2 papers

1. Neuroscience › Memory and Neural Mechanisms

   Path Integration and Cognitive Mapping in a Continuous Attractor Neural Network Model

   Samsonovich and McNaughton · Journal of Neuroscience · 1997

   The paper proposes a network model of how the brain might track self-location and map space, built from place-cell assemblies called charts, and uses it to explain observed place-field behaviour.

   Unchecked2 claims
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   1. Unchecked“Thus, the same units may participate in many charts, and it is shown that the number of uncorrelated charts that can be encoded in the same recurrent network is potentially quite large.”
   2. UncheckedThe authors' network model offers an explanation for several puzzling observations about hippocampal place fields, such as doubling, vanishing and slow rotation.“It provides an explanation for a number of hitherto perplexing observations on hippocampal place fields, including doubling, vanishing, reshaping in distorted environments, acquiring directionality in a two-goal shuttling task, rapid formation in a novel environment, and slow rotation after disorie…”

2. Neuroscience › Memory and Neural Mechanisms

   Coherently remapping toroidal cells but not Grid cells are responsible for path integration in virtual agents

   Schøyen, Pettersen, Holzhausen, Fyhn, Malthe‐Sørenssen and Lepperød · iScience · 2023

   Unchecked3 claims
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   1. Unchecked“Subsequent pruning studies reveal that toroidal cells are crucial for path integration while grid cells are not.”
   2. Unchecked“Dimensionality reduction techniques reveal that a subset of cells manifest a persistent torus across environments.”
   3. Unchecked“Unexpectedly, these toroidal cells resemble band-like cells rather than high grid score units.”