Neuroscience

Designing optimal perturbation inputs for system identification in neuroscience

1. Mikito Ogino
2. Daiki Sekizawa
3. Jun Kitazono
4. Masafumi Oizumi

• Curated by eLife

  eLife Assessment

  The authors establish solid theoretical principles for designing brain perturbations under the assumption that brain activity evolves under a linear model. By prioritizing low-variance components, resonant frequencies, and hub nodes, this framework provides an important foundation for optimizing information gain, neural state classification, and the control of neural dynamics. However, the lack of investigation of model mismatch makes the study incomplete.

Reviewed by eLife

Early Sleep-Dependent Sensory Gating in the Olfactory System

1. Diego Serantes
2. Diego Gallo
3. Anttonella García
4. Joaquín González
5. Mateo Mendoza
6. Patricia Lagos
7. Pablo Torterolo
8. Matías Cavelli

• Curated by eLife

  eLife Assessment

  This study presents a well-executed investigation into how the olfactory system disconnects from the environment during sleep and anesthesia, identifying a potential gating mechanism at the earliest synaptic stages of the olfactory bulb. The findings are important, as they challenge current theories by demonstrating that sensory gating occurs in non-thalamic pathways even under controlled airflow conditions. The strength of evidence is solid, supported by rigorous multimodal recordings, although the reliance on anesthetic models to draw conclusions about natural sleep is a limitation that requires further contextualization.

Reviewed by eLife

Policy-Gradient Reinforcement Learning as a General Theory of Practice-Based Motor Skill Learning

1. Adrian M Haith

• Curated by eLife

  eLife Assessment

  This valuable computational study presents a conceptually simple and biologically plausible reinforcement-learning framework for motor learning based on policy-gradient methods. The evidence supporting the conclusions is convincing, including rigorous mathematical derivations of learning rules for the mean and variance of motor commands and simulation results for three sets of experimental data, based on three different motor learning tasks from the literature. However, there is a lack of a clear description of the specific conditions under which this framework yields unique mechanistic insights or predictive values, hence falling short of qualifying as a "general theory of motor learning". The work will be of interest to researchers in computational motor learning and motor neuroscience.

Reviewed by eLife

The engulfment receptor Draper is required for epidermal dendrite ensheathment

1. Chang Yin
2. Federico M. Tenedini
3. Amy Platenkamp
4. Jay Z. Parrish

Reviewed by Review Commons

How individual vigor shapes human-human physical interaction

1. Dorian Verdel
2. Bastien Berret
3. Etienne Burdet

• Curated by eLife

  eLife Assessment

  This is an important study showing that movement vigor is not solely an individual property but emerges through interaction when two people are physically linked. The evidence is convincing, supported by a well-controlled experimental design and modeling that closely match the observed behavior. While the authors provided a helpful comparison of several candidate models of human-human interaction dynamics, the statistical power remains limited.

Reviewed by eLife

Capturing instantaneous neural signal-behavior relationships with concurrent functional mixed models

1. Al W Xin
2. Erjia Cui
3. Francisco Pereira
4. Gabriel Loewinger

• Curated by eLife

  eLife Assessment

  This valuable work extends a previously published regression framework for trial-aligned photometry data incorporating functional variables. However, the evidence is generally incomplete, due to the way that within-trial changes in variables have been incorporated into an inherently cross-trial analysis framework, which will limit general adoption. The ideas in this work will be of interest to researchers analyzing photometry signals.

Reviewed by eLife

Graded Hair Cell Ablation Reveals Functional Redundancy in the Mature Mouse Vestibular System

1. Tian Wang
2. Davood K. Hosseini
3. Ahmad Mahhoudi
4. Zahra N. Sayyid
5. Jun He
6. Caroline Sit
7. Zelma G. Iriarte Oporto
8. Hong Zhu
9. Wu Zhou
10. Alan G. Cheng

Reviewed by Review Commons

Transcriptional responses to chronic oxidative stress require cholinergic activation of G-protein-coupled receptor signaling

1. Kasturi Biswas
2. Caroline Moore
3. Hannah Rogers
4. Khursheed A Wani
5. Arjamand Mushtaq
6. Read Pukkila-Worley
7. Daniel P Higgins
8. Amy K Walker
9. Gregory P Mullen
10. James B Rand
11. Michael M Francis

• Curated by eLife

  eLife Assessment

  This valuable study advances our understanding of how organisms respond to chronic oxidative stress. Using the nematode C. elegans, the authors identified key neuronal signaling molecules and their receptors that are required for stress signaling and survival. The evidence supporting the conclusions is solid, including rigorous genetics, stress response analysis, and transcriptional profiling. This research will be of broad interest to neuroscientists and researchers working in the field of oxidative stress regulation.

Reviewed by eLife

Continuous flashing suppression of neural responses and population orientation coding in macaque V1

1. Cai-Xia Chen
2. Xin Wang
3. Dan-Qing Jiang
4. Shi-Ming Tang
5. Cong Yu

• Curated by eLife

  eLife Assessment

  This important study shows that orientation tuning of V1 neurons is suppressed during a continuous flash suppression paradigm, especially in neurons with binocular receptive fields. These findings, made using cutting-edge imaging techniques, convincingly implicate early visual processing in continuous flash suppression, in agreement with previous studies suggesting reduced effective contrast of such stimuli in V1.

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Economic and Social Modulations of Innate Decision-Making in Mice Exposed to Visual Threats

1. Zhe Li
2. Jiahui Wang
3. Yidan Sun
4. Jialin Li
5. Ling-yun Li
6. Ya-tang Li

• Curated by eLife

  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. The evidence is incomplete due to indirect measures of vigilance and somewhat misleading characterizations of the looming stimulus.

Reviewed by eLife