Jean‐Baptiste Masson

The paper investigates competition between glycine and GABA receptors for gephyrin at inhibitory synapses using single-molecule techniques and molecular tweezers, revealing thermodynamic properties and implications for synaptic plasticity.

The paper shows that feeding state modulates inhibitory neurons in Drosophila, biasing sensorimotor decisions by altering aversive response competition.

LarvaTagger combines a pre-trained deep neural network with a GUI for manual tagging and training new automatic taggers using updated ground truth.

The paper introduces statistical methods to detect subtle behavioural changes in Drosophila larvae from large-scale behavioural assays.

The paper identifies neural circuits in Drosophila larvae that mediate context-dependent competition between defensive actions like startle and escape behaviors.

This study demonstrates operant conditioning in Drosophila larvae by optogenetically activating serotonergic neurons and shows the ventral nerve cord's role in memory formation.

The paper shows neural stem cells use local feedback mechanisms with delays to coordinate their division and maintain homeostasis in the adult brain.

DIVA creates 3D reconstructions of microscopy image stacks for intuitive virtual reality visualization and analysis.

The paper identifies neurons and brain regions in Drosophila larvae that influence sensorimotor decisions and sequence transitions in response to mechanosensory stimuli.

The paper creates a comprehensive atlas of the Drosophila larval nervous system using single-cell transcriptomics and validates findings with RNA-FISH, revealing gene expression changes linked to behavioral states.

This paper investigates how moths encode turbulent odor plume dynamics at varying distances from the source, finding that projection neurons (PNs) can decode temporal structures more effectively than olfactory receptor neurons (ORNs).