Latest preprint reviews

  1. A theory and recipe to construct general and biologically plausible integrating continuous attractor neural networks

    This article has 3 authors:
    1. Federico Claudi
    2. Sarthak Chandra
    3. Ila R Fiete
    This article has been curated by 1 group:
    • Curated by eLife

      eLife Assessment

      This valuable study presents a theoretical framework for building continuous attractor networks that integrate with a wide range of topologies, which are of increasing relevance to neuroscientists. While the work offers solid evidence for most claims, the evidence supporting biological plausibility and key claims - such as the existence of a continuum of stable states and robustness across geometries - is currently incomplete and would benefit from further analysis or discussion. The study will be of interest to computational and systems neuroscientists working on neural dynamics and network models of cognition.

    Reviewed by eLife

    This article has 3 evaluationsAppears in 1 listLatest version Latest activity
  2. Development of the axonal βII-spectrin periodic skeleton requires active cytoskeletal remodelling

    This article has 4 authors:
    1. Shivani Bodas
    2. Ashish Mishra
    3. Pramod Pullarkat
    4. Aurnab Ghose
    This article has been curated by 1 group:
    • Curated by eLife

      eLife Assessment

      This study examines how the neuronal cytoskeleton contributes to the formation of the axonal membrane-associated periodic skeleton (MPS) in embryonic dorsal root ganglia (DRG) neurons, using STED imaging. Conclusions are supported by convincing methods, data, and analyses. This useful work confirms previous data and improves our understanding of the roles of microtubules and actin dynamics in the chronological recruitment of MPS components.

    Reviewed by eLife

    This article has 4 evaluationsAppears in 1 listLatest version Latest activity
  3. A neural mechanism for compositional generalization of structure in humans

    This article has 7 authors:
    1. Lennart Luettgau
    2. Nan Chen
    3. Tore Erdmann
    4. Sebastijan Veselic
    5. Zeb Kurth-Nelson
    6. Rani Moran
    7. Raymond J Dolan
    This article has been curated by 1 group:
    • Curated by eLife

      eLife Assessment

      This study provides valuable insights into humans' ability to generalize knowledge of learned graph structures to new experiences that share the same structure but are built from different stimuli. However, the evidence for the authors' claims is incomplete, with the main claims of structural generalization and compositionality only partially supported by MEG and behavioral data. This study will be of interest to cognitive neuroscientists studying structure learning and generalization.

    Reviewed by eLife

    This article has 4 evaluationsAppears in 1 listLatest version Latest activity
Newer Page 116 of 867 Older