Neuroscience

eLife Assessment

This valuable study describes a simple and robust approach for estimating information-limiting noise by splitting neural populations and comparing estimator values. The authors report more accurate and robust results compared to previous methods. The evidence for the robustness of the method is currently incomplete; some concerns regarding bias need to be resolved, and additional tests need to be provided on how the number of trials and neurons affect performance.

eLife Assessment

This useful study investigates how plasticity and homeostatic adaptation can lead to the emergence of synchronization patterns associated with different sleep phases. The ideas are novel and interesting, but the evidence at present remains incomplete. Further work is needed to determine whether the reported states persist for larger system sizes, longer integration times, and how robust the results are to different initial conditions.

eLife Assessment

This manuscript presents openretina, an open-source platform that integrates retinal datasets, model training, benchmarking, and in silico analysis tools within a unified framework. The resource is valuable because it addresses long-standing challenges in reproducibility, accessibility, and cross-study comparison in computational retina research, while providing a foundation for community-driven model development and evaluation. The supporting evidence is solid, with the authors demonstrating a functional and well-documented platform across multiple datasets and species, although a clearer discussion of model interpretability, current performance limitations, and data quality standards would strengthen the resource.