eLife

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1. We couldn't get details of this article at this time:
   10.1101/2025.03.13.643139

2. Detecting behavioural oscillations with increased sensitivity: A modification of Brookshire’s (2022) AR-surrogate method

   This article has 2 authors:

   1. Anthony M Harris
   2. Henry A Beale

   This article has been curated by 1 group:

   • Curated by eLife

     eLife Assessment

     This study proposes an updated analysis technique that allows researchers to identify rhythms in behavior. If the proposed analyses control the rate of false positives, this will be an important contribution for all neuroscientists interested in rhythmic cognition. At present, the strength of evidence is incomplete, as the simulations ignore one crucial aspect of temporal structure in behavior.

   Reviewed by eLife

3. We couldn't get details of this article at this time:
   10.1101/2024.10.25.620227

4. We couldn't get details of this article at this time:
   10.1101/2025.01.13.632711

5. We couldn't get details of this article at this time:
   10.1101/2025.03.10.642426

6. We couldn't get details of this article at this time:
   10.1101/2025.02.26.640279

7. Task and Behavior-Related Variables Are Encoded by the Postrhinal and Medial Entorhinal Cortex During Non-Spatial Associative Learning

   This article has 9 authors:

   1. Ingeborg Nymoen Nystuen
   2. Frederik Sebastian Rogge
   3. Anna Hjertvik Aasen
   4. Sverre Grødem
   5. Anders Malthe-Sørenssen
   6. Mikkel Elle Lepperød
   7. Torkel Hafting
   8. Marianne Fyhn
   9. Kristian Kinden Lensjø

   This article has been curated by 1 group:

   • Curated by eLife

     eLife Assessment

     This important study investigates how neural representations in the postrhinal and medial entorhinal cortices evolve with the learning of a visual associative memory task in mice. The findings provide new insights into how non-spatial information is differentially encoded across interconnected brain areas, with strong evidence that stimulus encoding is robust in the postrhinal cortex and emerges more weakly in the medial entorhinal cortex with learning. The evidence is solid overall, particularly in the use of sophisticated population-level analyses and two-photon imaging across learning phases, although the interpretation of regression models and clustering would benefit from additional clarity and control. The work will be of broad interest to systems neuroscientists studying learning, memory, and cortical circuit function.

   Reviewed by eLife

8. We couldn't get details of this article at this time:
   10.1101/2025.02.24.639899

9. We couldn't get details of this article at this time:
   10.1101/2025.02.19.639049

10. We couldn't get details of this article at this time:
    10.1101/2025.01.15.633135