Neuroscience

eLife Assessment

This important study offers substantial technical advancements for neural circuit tracing in larval zebrafish, a model for systems and developmental neurobiology. The enhanced rabies virus-based retrograde transneuronal tracing improves efficiency and provides a method for combined structural and functional brain mapping. The supporting evidence is solid, and there is strong confidence in the technique's utility for neurobiologists working with zebrafish.

eLife Assessment

The findings are valuable, given that they highlight the flexible and future-oriented nature of working memory. However, the evidence for the claims about context/color generalization, behavioural relevance of context decoding, dimensionality reduction, neural geometry, the XOR representation, and the specific contribution of working memory is incomplete. The work could be reframed in terms of prospective remapping.

eLife Assessment

Avoidance of UV and blue light by the nematode C. elegans is mediated by the unusual transmembrane protein LITE-1, a non-canonical photoreceptor. In this valuable work, the authors provide convincing evidence that LITE-1 function is also required for avoidance of very high concentrations of the food-associated cue diacetyl, suggesting that it may also function as a diacetyl chemoreceptor. While the evidence for this idea is incomplete, these intriguing findings suggest an unexpected complexity in the function of this unusual photoreceptor.

eLife Assessment

This study examines how the neuronal cytoskeleton contributes to the formation of the axonal membrane-associated periodic skeleton (MPS) in embryonic dorsal root ganglia (DRG) neurons, using STED imaging. Conclusions are supported by convincing methods, data, and analyses. This useful work confirms previous data and improves our understanding of the roles of microtubules and actin dynamics in the chronological recruitment of MPS components.

eLife Assessment

These findings are among some of the first to identify a behavioral and neurobiological substrate that disentangles nonassociative from associative fear responses following stress, providing a fundamental push forward in the field. The evidence supporting this is convincing and uses a variety of conceptual and technological approaches. This investigation will be of interest to neuroscientists and behaviourists broadly, as well as clinicians for its relevance to post-traumatic stress disorder.

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 useful behavioural findings supported by strong data, yet the evidence is incomplete due to ambiguities about methodology and the computational model that remains largely descriptive.

eLife Assessment

This valuable study presents a theoretical framework for building continuous attractor networks that integrate with a wide range of topologies, which are of increasing relevance to neuroscientists. While the work offers solid evidence for most claims, the evidence supporting biological plausibility and key claims - such as the existence of a continuum of stable states and robustness across geometries - is currently incomplete and would benefit from further analysis or discussion. The study will be of interest to computational and systems neuroscientists working on neural dynamics and network models of cognition.

eLife Assessment

This study provides valuable insights into humans' ability to generalize knowledge of learned graph structures to new experiences that share the same structure but are built from different stimuli. However, the evidence for the authors' claims is incomplete, with the main claims of structural generalization and compositionality only partially supported by MEG and behavioral data. This study will be of interest to cognitive neuroscientists studying structure learning and generalization.

eLife Assessment

This study introduces a valuable simulation-based inference (SBI) framework to identify degenerate compensatory mechanisms that stabilize network activity despite neuronal hyperexcitability, a feature common to many brain disorders. By estimating posterior distributions of network parameters, the authors highlight factors such as threshold potential and interneuron-to-principal cell connectivity as key compensators for increased intrinsic excitability and interneuron loss. While the approach is promising and could become a key tool for probing network degeneracy, the study is currently incomplete. To fully realize its potential, the framework requires improved scalability and more rigorous cross-validation.

eLife Assessment

In their study, Diana et al. introduce a novel method for spike inference from calcium imaging data using a Monte Carlo-based approach, emphasizing the quantification of uncertainties in spike time estimates through a Bayesian framework. This method employs particle Gibbs sampling for estimating model parameter probabilities, offering accuracy comparable to existing methods with the added benefit of directly assessing uncertainties. The presentation of the underlying methods and its characterization is convincing and it presents a valuable advancement for neuroscientists interested in new approaches for parameter estimation from calcium imaging data.