Neuroscience

Deletion of Neuroligins from Astrocytes Does Not Detectably Alter Synapse Numbers or Astrocyte Cytoarchitecture by Maturity

1. Samantha R Golf
2. Justin H Trotter
3. Jinzhao Wang
4. George Nakahara
5. Xiao Han
6. Marius Wernig
7. Thomas C Südhof

• Curated by eLife

  eLife Assessment

  This fundamental study examines whether synaptic cell adhesion molecules neuroligin 1-3 resident on astrocytes, rather than neurons, exert effects on synaptic structure and function. With compelling evidence, including rigorous validation of neuroligin deletion efficiency in astrocytes and independent confirmation using human neuron-mouse glia co-cultures, the authors report that deletion of neuroligins 1-3 specifically in astrocytes does not alter synapse formation or astrocyte morphology in the hippocampus or visual cortex. This study provides definitive evidence highlighting the specific role of neuronal neuroligins rather than their astrocytic counterparts in synaptogenesis.

Reviewed by eLife

Age-dependent predictors of effective reinforcement motor learning across childhood

1. Nayo M Hill
2. Haley M Tripp
3. Daniel M Wolpert
4. Laura A Malone
5. Amy J Bastian

• Curated by eLife

  eLife Assessment

  This important study tests the development of motor reinforcement learning from toddlerhood to adulthood, using a large online sample. They show that learning improves with age in a task that, like real-life movement, involves a continuous range of response options and probabilistic rewards, and link this shift to reduced movement variability and more efficient feedback-based learning through behavioural modeling. Simplifying the task with discrete actions and deterministic outcomes boosted younger children's performance, suggesting early learning is limited by spatial and probabilistic processing. The evidence is convincing, although future work may investigate more naturalistic movement.

Reviewed by eLife

Elucidating the selection mechanisms in context-dependent computation through low-rank neural network modeling

1. Yiteng Zhang
2. Jianfeng Feng
3. Bin Min

• Curated by eLife

  eLife Assessment

  This study provides an important set of analyses and theoretical derivations to understand the mechanisms used by recurrent neural networks (RNNs) to perform context-dependent accumulation of evidence. The results regarding the dimensionality and neural dynamical signatures of RNNs are convincing and provide new avenues to study the mechanisms underlying context-dependent computations. This manuscript will be of interest to a broad audience in systems and computational neuroscience.

Reviewed by eLife

Individuality across environmental context in Drosophila melanogaster

1. Thomas F Mathejczyk
2. Cara Knief
3. Muhammad A Haidar
4. Florian Freitag
5. Tydings McClary
6. Mathias F Wernet
7. Gerit A Linneweber

• Curated by eLife

  eLife Assessment

  There is a growing interest in understanding the individuality of animal behaviours. In this article, the authors build and use an impressive array of high throughput phenotyping paradigms to examine the 'stability' (consistency) of behavioural characteristics in a range of contexts and over time. They find that certain behaviours are individualistic and persist robustly across external stimuli while others are less robust to these changing parameters. The data, while extensive are incompletely analysed/explained. With more appropriate statistical methods adopted, the findings would have important implications for the study of individual variability.

Reviewed by eLife

Human Brain-Wide Activation of Sleep Rhythms

1. Haiteng Wang
2. Qihong Zou
3. Jinbo Zhang
4. Jia-Hong Gao
5. Yunzhe Liu

• Curated by eLife

  eLife Assessment

  The study reports valuable findings from a very rich EEG-fMRI dataset, including 107 participants, which was collected during nocturnal naps. Using overall solid methods, the authors link activity in memory-related brain regions (e.g., hippocampus, thalamus, and medial prefrontal cortex), and their functional connectivity to the occurrence of canonical sleep rhythms (spindles and slow oscillations) in non-rapid eye movement sleep. This work will be of broad interest to sleep and memory researchers and beyond.

Reviewed by eLife

Neural dynamics of reversal learning in the prefrontal cortex and recurrent neural networks

1. Christopher M Kim
2. Carson C Chow
3. Bruno B Averbeck

• Curated by eLife

  eLife Assessment

  The findings of this study are valuable, offering insights into the neural representation of reversal probability in decision-making tasks, with potential implications for understanding flexible behavior in changing environments. The study contains interesting comparisons between neural data and models, including evidence for partial consistency with line attractor models in this probabilistic reversal learning task. However, it remains incomplete due to issues related to how the RNN training and the analysis of its dynamics, which renders the evidence as not complete.

Reviewed by eLife

Material Damage to Multielectrode Arrays after Electrolytic Lesioning is in the Noise

1. Alice Tor
2. Stephen E Clarke
3. Iliana E Bray
4. Paul Nuyujukian
5. the Brain Interfacing Laboratory

• Curated by eLife

  eLife Assessment

  This useful manuscript addresses a stability issue for long-term chronically implanted array recordings and electrolytic lesioning, which is relevant to both basic science and translational research. The authors provide a systematic scanning electron microscopy (SEM) of explanted arrays, evaluating electrode damage and sharing extensive datasets accessible through interactive plots. The strength of the evidence is solid, but it can be improved by performing additional analyses on complementary neurophysiology, functional, or histological data.

Reviewed by eLife

Calpain cleaves the carboxyl terminus of TRPV1 and modulates receptor tachyphylaxis

1. Jinyan Jiang
2. Xiaochen Wang
3. Jing Yang
4. Shuwen Gao
5. Jixuan Xu
6. Jiao Liu
7. Yun Wang
8. Ping Liang
9. Ying Zhang

Reviewed by Arcadia Science

Intrinsic dynamic shapes responses to external stimulation in the human brain

1. Maximilian Nentwich
2. Marcin Leszczynski
3. Charles E Schroeder
4. Stephan Bickel
5. Lucas C Parra

• Curated by eLife

  eLife Assessment

  This manuscript presents an interesting new framework (VARX) for simultaneously quantifying effective connectivity in brain activity during sensory stimulation and how that brain activity is being driven by that sensory stimulation. The reviewers thought the model was original and its conclusion that intrinsic connectivity is reduced (rather than increased) during sensory stimulation is very interesting, but that for ideal performance, one must specify all sensory features in the model, which is not possible. Overall, however, this work is important with convincing evidence for its conclusions - it will be of interest to neuroscientists working on brain connectivity and dynamics.

Reviewed by eLife

The oneirogen hypothesis: modeling the hallucinatory effects of classical psychedelics in terms of replay-dependent plasticity mechanisms

1. Colin Bredenberg
2. Fabrice Normandin
3. Blake Richards
4. Guillaume Lajoie

• Curated by eLife

  eLife Assessment

  This paper provides a useful new theory of the hallucinatory effects of psychedelics. The authors present convincing evidence that a computational model trained with the Wake-Sleep algorithm can reproduce some features of hallucinations by varying the strength of top-down connections in the model, but discussion of the model's relationships to the psychedelics and sleep literatures is incomplete. The work will be of interest to researchers studying hallucinations or offline activity and learning more broadly.

Reviewed by eLife