Neuroscience

eLife Assessment

This computational study constitutes an extension to prior work on biophysical calcium-based synaptic plasticity rules with metaplasticity, investigating how single neurons can learn to perform non-linear pattern classification. This important work presents a significantly simpler solution to the studied problem with potentially broad applicability, there is however incomplete evidence to support the core conclusions.

eLife Assessment

This valuable study describes significant differences in prey capture behavior between PSD-95 knock-out and wild-type mice, despite prior work by the same authors showing only modest visual deficits in the former. The data convincingly demonstrated prey capture performance in PSD-95 knock-out mice to improve under monocular viewing conditions. However, this finding alone was inadequate to support the interpretation of results as revealing a deficit in binocular visual integration, especially given the lack of eye and head tracking data or consideration of alternative explanations for the observed behavior.

eLife Assessment

Li et al. present an important and innovative study linking developmental changes in sleep to ecological context in Drosophila mojavensis, and propose that sleep at one stage of an animal's life might anticipate needs at a future stage. The results fit well with this model, but are correlative in nature. The work is convincing, scientifically rigorous, and effectively bridges sleep biology and evolutionary ecology, opening promising new directions for the field.

eLife Assessment

This valuable study investigates the computational role of top-down feedback - a property found in biological circuits - in artificial neural network (ANN) models of the neocortex. Using hierarchical recurrent ANNs in an audiovisual integration task, the authors show that an anatomically inspired feedback motif induces a stable visual bias consistent with human perception and yields modest but meaningful benefits for learning dynamics and robustness. The strength of evidence is solid: the modeling, analyses, and controls mostly support the central claim that top-down feedback motifs impose persistent inductive biases that shape functional specialization and behavior. But the evidence for a broad, general framework that predicts behavior remains only partially supported, and the Methods would benefit from a compact, reproducible summary of hyperparameters and architectural details.

eLife Assessment

This manuscript investigates the extremely interesting and important claim that the human hippocampus represents interactions with multiple social interaction partners on two relatively abstract social dimensions - and that this ability correlates with the social network size of the participant. This research potentially demonstrates the intricate role of the hippocampus in navigating our social world. While most of the results are solid, the paper requires some further clarification.