1287 papers
Neuroscience explores the intricate machinery of the brain and nervous system, seeking to understand how we think, feel, and move. From the microscopic dance of individual neurons to the complex networks that shape our memories and behaviors, this field peels back the layers of our biological selves to reveal the origins of consciousness and disease.
At Gist.Science, we bring these discoveries directly from bioRxiv, the leading preprint server for biological sciences, to a broader audience. We process every new neuroscience preprint as it is uploaded, transforming dense academic manuscripts into clear, plain-language explanations alongside detailed technical summaries. This ensures that both curious readers and specialists can stay current with the latest breakthroughs before they are formally published.
Below are the latest neuroscience papers we have processed from bioRxiv, offering fresh insights into the workings of the mind.
This study demonstrates that the subcellular localization of PTEN is a critical determinant of its function in neuronal development, revealing that cytoplasmic and membrane-targeted PTEN are required to fully restrain dendritic complexity and spine density, while nuclear-localized PTEN only partially rescues specific morphological defects.
This study demonstrates that the geometry of feedback vectors during learning determines whether recurrent networks can achieve zero-shot parallel composition of independently learned behaviors, revealing that separable dynamical subspaces enabled by distinct feedback allow for flexible recombination of tasks without joint training.
This study introduces a directed human structural connectome (DHSC) by transferring macaque tracer data to humans, demonstrating that incorporating anatomical directionality reveals a biologically plausible hierarchical organization and significantly improves the modeling of large-scale brain dynamics compared to traditional undirected networks.
This study presents a probabilistic, voxel-wise characterization of the human corpus callosum's involvement in various cognitive domains by integrating structural connectivity data with functional meta-analyses, revealing distinct spatial patterns where posterior, anterior, and central regions differentially support functions such as vision, decision-making, and motor control, respectively.
By combining advanced MRI microstructural modeling with resting-state MEG in 94 healthy controls, this study demonstrates that both white matter axonal properties and grey matter microstructural characteristics significantly predict large-scale neural propagation delays, thereby establishing a critical link between brain tissue architecture and signal dynamics.
This paper reveals that EEG classification performance on the FACED dataset is primarily driven by stimulus identity rather than genuine emotional states due to specific design flaws, prompting five new recommendations to mitigate these confounds in future emotion-decoding studies.
This study demonstrates that episodic-like memory retrieval in mice relies on a distributed fronto-posterior medial network, with the retrosplenial cortex playing a critical role in orchestrating the necessary neuronal ensembles for successful recall.
This study reveals that physiological TDP-43 relies on a flexible, multi-motor transport system involving KIF5 and KIF1A kinesins to ensure mRNA delivery in axons, a mechanism likely compromised in ALS where cytoplasmic TDP-43 accumulation disrupts axonal transport and contributes to neurodegeneration.
This study demonstrates that auditory cortical neurons in zebra finches dynamically re-tune their processing of self-produced song feedback depending on whether the bird is singing alone or performing courtship songs for a female, revealing a context-dependent neural mechanism distinct from uniform dopamine responses.
This study demonstrates that fMRI activity in the human visual cortex can be decoded to reconstruct explicit 3D object structures that are invariant to depth cues, successfully generalizing from 2D training images to novel 3D stereoscopic stimuli and thereby externalizing the brain's internal 3D world model.