Neuroscience

eLife Assessment

This useful study combines behavioral reports, EEG decoding, and computational modeling to address an interesting question: how delay-period distractors bias working-memory representations, and how these effects depend on target relevance, distractor location, and the strength of memory maintenance and distractor encoding. However, the supporting evidence is incomplete, as several key claims require clearer statistical tests, better integration of the behavioral and neural results, and more careful consideration of alternative explanations. Stronger engagement with prior literature would also substantially strengthen the manuscript and increase its potential interest to researchers in systems, cognitive, and computational neuroscience.

eLife Assessment

Using fMRI-based pRF mapping, this important study presents a novel method for estimating visual field (VF) loss and potential restoration by analyzing contrast-sensitivity patterns in early visual cortex. The evidence supporting the main claims is convincing. This work will be of broad interest to researchers in vision and clinical vision, neuroscience, and brain imaging.

eLife Assessment

Overall, this is a manuscript with solid evidence that delivers an important community resource for those performing experimental research in amyotrophic lateral sclerosis. The authors address the lack of validated tools for the detection and quantification of proteins associated with amyotrophic lateral sclerosis (ALS) through an extensive screening of 303 commercially available antibodies to 33 protein targets. The effort invested in generating the knockout lines for validation experiments is a clear strength of the study.

eLife Assessment

This important study provides a quantitative comparison of how zebrafish and medaka larvae process visual motion, revealing clear differences in how they integrate information across space and time. The evidence is convincing, combining a broad set of behavioral assays with response decomposition and mechanistic modeling that together support the central conclusions. Some aspects remain incomplete, particularly the link between the spatial and temporal findings, the extent to which the model accounts for the full range of behavioral results, and the framing of broader evolutionary or social interpretations. Overall, the work offers a careful and informative analysis that should be of broad interest to researchers studying visual processing, sensorimotor computation, and comparative neuroscience.

eLife Assessment

This study presents a large-scale characterization of single-neuron responses during reading and listening, enabling examination of both 'low-level' (orthographic/phonological) and 'higher-level' (syntactic) features, as well as links between single-neuron activity and multi-scale field potentials, making it a valuable resource for bridging micro- and macroscale accounts of language processing. The analyses identify modality-specific and putatively modality-independent responses across distributed brain regions, offering an intriguing framework for understanding how sensory-specific and abstract representations may relate. However, the evidence supporting the central claims is currently incomplete, due to limited population-level quantification, insufficient statistical characterization of how many neurons encode the relevant features, ambiguity in the interpretation of encoding model results, and a lack of rigorous tests of cross-modal generalization and alternative accounts, which together weaken the conclusions about amodal representations and hierarchical processing.