Evaluated articles

eLife Assessment

This valuable study combines multiscale molecular simulations with supporting biophysical experiments to investigate how the myristoylated VP4 peptide of non-enveloped viruses interacts with host membranes during viral entry. The authors show that myristoylation facilitates VP4 membrane anchoring, condensate formation, and membrane remodeling events linked to early stages of membrane breaching. The work provides a convincing biophysical framework for understanding myristoylation-dependence in membrane-penetrating proteins.

eLife Assessment

This valuable study presents evidence that DNA Polymerase β strand displacement synthesis within linker DNA is stimulated by the presence of an adjacent nucleosome core particle. The biochemical analyses of the strand displacement synthesis by the DNA polymerase on a reconstituted nucleosome substrate with a linker DNA provided incomplete evidence to support the authors' conclusion. The results in the paper are of interest to researchers in DNA repair and nucleosome biology.

eLife Assessment

This convincing contribution addresses a question of practical importance: when collecting tilt-series data, what is the optimal angular step size between successive tilt images? The work provides valuable practical insights into cryo-ET data acquisition by demonstrating that balancing two competing demands - sufficient dose per individual tilt image and fine angular sampling - is essential to achieve high-quality tomographic reconstructions. They demonstrate that tilt-series acquired with finer increments (1-3 degrees) yield superior alignment accuracy and improved template-matching performance,

eLife Assessment

This important study investigates how the hippocampus distinguishes between reactive escape and anticipatory withdrawal during approach-avoidance conflict in rats performing a naturalistic decision-making task. Solid evidence supports the main finding that hippocampal neuronal representations differ during different types of defensive behaviors, although the evidence for some of the claims in the paper could be strengthened. The study will be of interest to researchers studying memory, navigation, and decision-making in the presence of competing rewards and threats.

eLife Assessment

This work introduces a new paradigm for modeling decision-making under time pressure: rather than having to infer the evidence accumulated by the subjects, experimenters can directly measure it on a trial-by-trial basis. This is an important advance, as it has the potential to address questions that are off limits to the standard paradigm. The methodology and analyses are convincing, especially the ones that manipulate the reward structure. Additional analyses - in particular, a deeper comparison to an ideal observer model - would strengthen and broaden the conclusions.

eLife Assessment

This study provides important findings on the expression of glutamate receptor (GluR) subunits across developmental stages and muscle types in Drosophila. It shows that adult muscle differs in GluR composition from larval body wall muscles, which have been the focus of most past studies. The study, while convincing, could be strengthened by acknowledging that it relies on heterogeneous methods and the absence of positive signals to infer receptor loss, which limits confidence in some of its claims. The findings illuminate how Drosophila excites muscles in diverse tissue types at different life stages, and are of interest to researchers across neuroscience.

eLife Assessment

This important study examines the benefits of spatial cognition in a wild population of mountain chickadees. Using robust genetic analyses and experimental design, the authors show with compelling evidence that females seeking out extra-pair copulations prefer males with strong spatial cognition, and that these males have a reproductive advantage over other males. This work is of broad interest to evolutionary and behavioural biologists.

eLife Assessment

This important study provides evidence that plateau pikas, at moderate densities, can facilitate yak nutrition by suppressing a poisonous plant, offering a helpful perspective on reciprocal interactions between small mammal ecosystem engineers and large herbivores. The evidence is solid, supported by a manipulative field experiment and appropriate measurements of intermediary ecological processes, although some claims about density dependence, competition, and stress-gradient mechanisms are not fully supported by the experimental design. The work will be of interest to ecologists, conservation biologists, and rangeland managers, particularly those studying grassland herbivore interactions and livestock management on the Qinghai-Tibetan Plateau.

eLife Assessment

This important study reveals distinct representations of task-related information in the dendrites and somata of cortical neurons during sensorimotor learning and behavioral adaptation. The evidence is compelling, combining simultaneous imaging of dendritic and somatic activity during behavior to demonstrate compartment-specific encoding of sensory cues, motor actions, and corrective signals. The work will be of broad interest to neuroscientists studying dendritic computation, motor learning, and the cellular mechanisms underlying adaptive behavior.

eLife Assessment

This important study provides solid novel evidence for a role of ripples in the hippocampus in visual short-term memory. The work is strong in employing state-of-the-art intracranial electrophysiology in epilepsy patients with multivariate pattern classifiers in the context of an elegant experiment, but several aspects of the theoretical framing, mechanistic interpretation, and analysis strategy are incomplete.

eLife Assessment

This foundational and valuable study expands our understanding of circadian clock work in non-model taxa in wider environmental niches, using solid methods for protein and RNA detection to describe the expression pattern of PDH, cry2, and per in the central nervous system of Euphausia superba. While the anatomical annotation is extensive, support for the identification of the clock network is incomplete.

eLife Assessment

This valuable study combines sub-millimeter 7T fMRI, EEG, representational similarity analysis, and deep neural network modeling to investigate layer-specific spatiotemporal dynamics underlying human object processing in early visual cortex and lateral occipital cortex; the authors report temporally distinct signatures in superficial layers of LOC that are interpreted as reflecting sequential feedforward and feedback processing during visual recognition. The multimodal methodological approach and empirical dataset are substantial and will be of broad interest to researchers in visual neuroscience, layer-fMRI methodology, and computational vision. However, the evidence supporting the central interpretation of interareal feedback remains incomplete, as the observed dynamics could also be explained by alternative mechanisms such as within-area recurrent processing, and there are additional concerns regarding several methodological and modeling choices underlying claims about increasing representational complexity at later time points. Overall, the study provides solid evidence for layer- and time-specific neural dynamics during object processing, while the interpretation of these signals as feedback-related remains provisional.

eLife Assessment

This valuable study examines whether reduced cooperation is driven by betrayal aversion beyond nonsocial loss aversion, using matched social and nonsocial risky decision-making tasks combined with computational modeling and EEG. The authors provide solid empirical evidence that social risk is processed differently from matched nonsocial risk, offering a meaningful contribution to the study of cooperation and decision-making under uncertainty. However, further justification of the computational modeling approach would strengthen some of the conclusions. This work will be of interest to researchers studying social decision-making, cooperation, trust, and the neural and computational mechanisms underlying risk and betrayal aversion.

eLife Assessment

This valuable study uses an elegant visual-anagram approach to test whether perceived animacy structures visual working memory and attention while controlling for many low-level image properties. The evidence is solid, with converging results across seven preregistered experiments, but the central claim that animacy itself is represented independently of visual features should be tempered, as residual mid-level configural cues, ensemble or category structure, and broader semantic differences may also contribute to the effects. The work will be of interest to researchers studying high-level visual representation, attention, and working memory.

eLife Assessment

This valuable study uses naturalistic movie-viewing fMRI and stacked encoding models to investigate sensory feature representations in autistic and non-autistic youth, showing a relative shift toward low-level visual representations in higher-order social cortical regions in autism. The evidence is solid overall, supported by preregistration, a relatively large open dataset, and sophisticated encoding-model analyses, although several methodological and interpretive issues require further clarification and validation. The work will interest researchers in developmental cognitive neuroscience and naturalistic neuroimaging.

eLife Assessment

This study presents valuable findings on the neuromodulatory underpinnings of adaptive learning in dynamic, probabilistic environments. Solid evidence for these claims comes from showing spatial correlations between model-derived fMRI responses and PET-based receptor density maps. The work will be of interest to cognitive and systems neuroscientists working on decision-making.

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

This study provides a detailed anatomical and functional framework for understanding CO₂ processing and behavioral flexibility in Drosophila. The significance of the work is important, as it identifies how specific neural circuits, such as LN23, modulate innately aversive signals across different contexts. The strength of the evidence is convincing, supported by a robust combination of connectomics, anatomical reconstructions, and targeted behavioral manipulations.

eLife Assessment

This manuscript represents a valuable contribution to understanding motion processing in the visual cortex. Based on a heterogeneous collection of previous empirical findings, the authors show that the diversity of tuning curves in the middle temporal (MT) area, in response to moving center-surround images, can be explained by Bayesian inference combined with neural sampling. The model rests on strong and solid assumptions about the prior and likelihood; independent evidence that neither of these factors is misspecified would strengthen the work.

eLife Assessment

This valuable study raises the intriguing possibility that crickets use bat-associated odors as cues of predation risk, extending the classic bat-insect arms race beyond its usual acoustic framework. The authors combine fecal metabarcoding, behavioral assays, electrophysiology, chemical analyses, and field observations to show that Loxoblemmus equestris avoids the odor of the insectivorous bat Scotophilus kuhlii, and that synthetic (-)-limonene can elicit antennal responses, avoidance in the laboratory, and reduced calling activity in the field. However, the evidence is currently incomplete because the identity, biological source, natural concentration, and ecological specificity of limonene as a bat-derived predator cue require stronger support, including clearer quantification, contamination controls, individual-level odor data, and evidence that crickets can distinguish bat-associated limonene from common environmental sources. The work will be of interest to researchers in sensory ecology, chemical ecology, predator-prey interactions, and bat-insect coevolution.