Neuroscience

eLife Assessment

The authors use a novel patch-leaving task to reveal a reward-reset strategy when mice choose to leave a depleting resource, and find that accumulated step-like activity in the dorsomedial striatum is correlated with the timing of these decisions. These important behavioral and neural findings are supported by substantial and convincing data. Additional control analyses would strengthen the evidence that these signals are specifically related to timing and patch-leaving decisions, rather than alternative task-related processes.

eLife Assessment

This useful study uses creative scalp EEG decoding methods to attempt to demonstrate that two forms of learned associations in a Stroop task are dissociable, despite sharing similar temporal dynamics. However, the evidence supporting the conclusions is incomplete due to concerns with the experimental design and methodology. This paper would be of interest to researchers studying cognitive control and adaptive behavior, if the concerns raised in the reviews can be addressed satisfactorily.

eLife Assessment

The authors show that innate defensive behavior in mice is shaped by threat intensity, reward value, and social hierarchy, highlighting how value and social context influence instinctive decisions. The authors provide a valuable characterization of escape behavior which approximates naturalistic conditions. Despite minor methodological limitations, the work provides a solid foundation for future investigation of how reward and social context interact to influence behavior.

eLife Assessment

This important study uses longitudinal EEG to chart how neural tracking of syllables and word-level statistical structure develops over the first two years of life in infants at high and low likelihood for autism and links these measures to verbal outcomes at 18-20 months. The strength of evidence is convincing: the prospective longitudinal design, careful data-quality handling, and partial least squares analyses are appropriate and well executed, though some interpretations of the group differences in syllable tracking, along with the possible contributions of multilingual exposure and sleep state during recording, warrant caution. The work will be of interest to developmental cognitive neuroscientists studying language acquisition and early neural markers of neurodevelopmental conditions.

eLife Assessment

This important study investigates how the size of an LLM may influence its ability to model the human neural response to language recorded by ECoG. Overall, solid evidence is provided that larger language models can better predict the human ECoG response. This study will be of interest to both neuroscientists and psychologists who work on language comprehension and computer scientists working on LLMs.

eLife Assessment

This work of fundamental significance introduces a novel statistical model of spiking activity that incorporates continuous-time gain modulation. The authors provide exceptional evidence that the model outperforms earlier approaches and alternative candidates in capturing spiking responses across multiple visual areas in the macaque. Beyond its methodological contribution, the study offers new insights into how stimulus-driven variability and internally generated gain fluctuations evolve over time and between brain areas. The framework is likely to find broad application beyond the datasets examined here.

eLife Assessment

This important work examines the effects of gaze on valuation signals in the human brain as participants choose between bundles of sequentially presented items food items. The paper provides convincing analyses of how gaze affects participants choice behaviour and how this varies across time. The work will be of interest to neuroscientists working on attention and decision-making.

eLife Assessment

This work establishes a valuable theoretical finding about how the spike timing dependence of inhibitory plasticity shapes recurrent network connectivity. The combination of theoretical analysis and simulations provides convincing evidence that effective inhibitory connectivity forms a so-called Mexican-hat profile when multiple inhibitory neuron types follow distinct learning rules. These mechanisms are thought to be implicated in the contextual modulation of neuronal responses to stimuli.

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 paper describes a valuable tool for the detection and analysis of dentate spikes, network events in the dentate gyrus that are common yet understudied. This tool could help standardize dentate spike detection and analysis across labs and is therefore likely to be of interest to hippocampal neurophysiologists. However, the strength of evidence for its broad usefulness was viewed as incomplete, due to several identified bugs in the program and insufficient explanations of parameter selection and methods.