synaptic & neural circuits

This study demonstrates the safety of synthetic oxidized β-carotene (OxBC) in rats and shows its uptake and distribution in mice tissues.

This study investigates the role of RAD52 in homologous recombination by analyzing its interaction with BRCA2 and RAD51 using electron microscopy and biochemistry.

The paper addresses environmental confounding in phenotypic selection analysis by introducing a path analysis framework to improve predictions of evolutionary response.

The paper uses a non-equilibrium landscape and flux approach to analyze a biophysically based model of decision-making and working memory, revealing trade-offs and mechanisms for improved performance.

This study compares FAP-targeted MRI with PSMA-targeted MRI for delineating prostate tumors in mice, finding FAP provides better contrast enhancement.

This paper develops photoswitchable nanovesicles (azosomes) for precise optical control of molecular release in neurons, demonstrating their ability to activate dopamine receptors in cultured striatal neurons.

This paper develops bioresorbable silicon diodes for non-genetic neural excitation and inhibition, showing they modulate intracellular calcium dynamics and function in vivo.

This paper introduces a method for fabricating high-aspect-ratio 3D microelectrode arrays on flexible substrates using direct laser writing and silicon thin-film processing for neural recording applications.

This paper introduces a probabilistic successor representation model that adapts to uncertainty and context switches, capturing animal behavior in contextual tasks and unifying SR theory with hippocampal function.

This study uses a 3D in silico model of the human sinoatrial node to investigate how its structure and electrophysiological properties enable successful pacing and driving of the heart.

This study develops a haptic feedback system to modulate arm swing and gait by exploiting interlimb neural coupling, showing it can adjust stride and cycle times and increase walking speed.

This paper introduces a wireless deep brain stimulation method using temporal interference and organic photocapacitors, achieving comparable neuronal responses to implanted electrode stimulation.

This study uses mesoscopic tract-tracing data to improve fiber orientation distribution estimation in mouse brains via deep learning, enhancing tractography specificity without sacrificing sensitivity.

This study shows that abdominal movements in hawkmoths contribute to flight maneuverability by using model predictive control and experimental tests.

This paper introduces a system for controlling synthetic signaling proteins through post-translational modifications using genetically encodable and chemically disruptable components.

This paper introduces magneto-gas vesicles (MGVs) for non-invasive in vivo imaging of tissue mechanics, showing improved sensitivity and resolution compared to existing methods.

This study identifies how Rabphilin 3A binds the N-peptide of SNAP-25 to enhance SNARE complex assembly, facilitating vesicle exocytosis.

This paper proposes a framework for interactive neurorobotics to study organism responses to artificial agents and demonstrates it using a rat-robot interaction task with multimodal data.

This study investigates how propranolol affects recognition memory reconsolidation and shows it impairs memory updating and specific memory components in rats.

Plyometric training improves timing stability, force production, and physiological efficiency in finger movements of expert pianists compared to conventional practice.

This paper introduces flexible electro-optical devices for simultaneous cardiac mapping and modulation, demonstrating their functionality in real-time spatiotemporal control of cardiac activity.

This study investigates pH-responsive self-assembly of amphiphiles to create model protocellular membranes with tunable properties.

The paper observes chimera states in firefly swarms, showing stable, spatially intertwined synchronous and asynchronous groups without enhanced spatial correlations.

This meta-analysis examines temperature effects on mating behavior and success across 53 studies, finding no global effect but some evidence of increased mating success with higher temperatures during mating.

The paper presents a computational model of bacterial biofilm interface formation, showing fractal patterns emerge from cell-level interactions and mechanical forces.

This paper develops DeepGANnel, a GAN-based method to generate synthetic single molecule patch-clamp data with labels, addressing the lack of large training datasets for automated analysis tools.

This study uses interferometric scattering microscopy to observe the self-assembly of brome mosaic virus particles, showing that RNA-protein interactions control nucleation rates while protein-protein interactions drive growth.

This study identifies resting-state network hubs involved in memory consolidation through chemogenetic suppression, showing their causal role beyond the hippocampus.

This paper shows that biologically-plausible reinforcement learning rules with persistent exploration can produce discontinuous learning in structured environments, explaining sudden insight during navigation tasks.

This study identifies consistent interictal patterns in human periventricular nodular heterotopia, showing their association with seizure generation and epileptogenicity.