Jun Ding

The paper investigates how dopamine modulates tonic GABAergic signaling in the substantia nigra via astrocytic and dopaminergic neuron interactions.

This study shows that Sall3 is essential for forming GABApre synapses on Ia afferents, and its loss disrupts motor behavior by impairing presynaptic inhibition.

The paper develops a genetically encoded voltage indicator to measure subthreshold voltage dynamics in neurons, revealing electrical diversity and local computation.

The paper measures insertion mechanics and vascular responses of microscale neural probes in vivo, finding constant insertion force post-pia penetration and vessel displacement avoiding rupture at small scales.

This study shows that striatal ensembles become more efficient over learning by refining activation patterns in dSPNs and iSPNs in head-fixed mice.

This paper introduces a color-neutral and reversible tissue transparency method that enables longitudinal deep-tissue imaging in live mice with high spatiotemporal resolution.

This study shows that motor learning dynamically regulates axonal boutons in the corticostriatal pathway, increasing reward-selective boutons and eliminating un-rewarded ones.

The paper identifies region-specific transcriptomic changes in motor cortex and striatum during motor learning using single-cell RNA sequencing and genetic labeling.

The paper identifies thalamic neurons that integrate signals from the basal ganglia and cerebellum during motor learning and shows their critical role in motor task execution.

This study shows that preventing oligodendrocyte maturation during adolescence reduces myelination and preserves experience-dependent plasticity in adult visual cortex.

The paper improves positively tuned voltage indicators by enhancing their kinetics and contrast for better spike detection.

This paper introduces positively tuned GEVIs that enhance spike detection in vivo with standard imaging systems, offering higher temporal resolution than calcium indicators.

The paper shows that Mettl14-mediated m6A modification is critical for cell cycle progression of late-born retinal progenitor cells, preventing cell cycle arrest and neuronal death.

This study identifies synaptic plasticity in motor engram neurons during motor learning, showing increased spine density and connectivity to striatal neurons.

This study shows that dynorphin selectively suppresses LTP in dSPNs via KOR, and its absence enhances LTP and flexibility in reversal learning.

This study uses a novel approach to block long-term potentiation and finds that it selectively enhances salience coding in hippocampal neurons without affecting spatial memory.

The paper introduces a genetically encoded fluorescent sensor, GRABeCB2.0, to measure endocannabinoid dynamics with high spatiotemporal resolution in vitro and in vivo, revealing new insights into eCB signaling in neurons and brain regions.

The paper identifies synucleins as essential for vesicular exocytosis of endocannabinoids, linking their role in Parkinson's Disease to synaptic plasticity.

This study shows that increasing dendritic spine stability in motor cortex enhances motor learning in mice by improving spine survival and formation during skill acquisition.

The paper identifies a conserved cell type set in cerebellar nuclei across species and shows how it was duplicated to form new regions, with a shift in dominance in humans.

The paper introduces a neural recording system combining microwire arrays with CMOS chips to enable high-density, three-dimensional neural interfaces.

This paper introduces an improved voltage indicator and imaging method to enable high-speed, high-resolution voltage imaging in deeply located neurons of awake mice.

This study measures brain penetration forces and tissue compression using microscale probes to inform better brain-machine interface design.

This study identifies the THO nuclear export complex as critical for synaptic transcript export, synapse development, and neuronal survival in dopaminergic neurons across species.