Neuronal specification, expansion and differentiation are tightly regulated by the concerted actions of transcription and chromatin modifying factors that are recruited to regulatory elements in the ...

This is a useful study that seeks to elucidate the molecular mechanisms underlying spinal motor circuit assembly. The authors demonstrate that loss of Onecut transcription factors in spinal motor ...

This valuable study addressed a key question in epilepsy research: whether the recordings of very fast oscillations in the brain (>250Hz, fast ripples) reflect underlying pathology or might be a ...

Distinct cerebellar projections to the forebrain differentially support acquisition and offline consolidation of a motor skill engaging cerebello-striato-cortical circuits, revealing the temporal and ...

Using single-nucleus RNA sequencing, the authors map transcriptional changes in the rat ventral tegmental area following chronic inflammatory pain and acute morphine exposure. Notably, their ...

This study presents valuable findings by reanalyzing previously published MEG and ECoG datasets to challenge the predictive nature of pre-onset neural encoding effects. The evidence supporting the ...

Methodology that is not complete, as well as discrepancies regarding the proposed mode of action of lipoxin A4, are significant weaknesses.

Graph theory and computational modeling reveal that neural network architecture biases the male Caenorhabditis elegans brain toward prioritized sexual behaviors.

New findings suggest sideways walking in crabs is a rare but innovative trait originating from a common ancestor, and provide a framework for understanding how animal locomotion diversifies and ...

In this valuable study, the authors develop new approaches to investigate mRNA imprinting, a phenomenon in which RNA-protein complexes form in the nucleus to influence the fate of transcripts in the ...

A robust and quantitative map links chromatin modification and gene expression of cells during zebrafish embryogenesis.

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).