Jérémie Naudé

The paper introduces DeepLabSAM for accurate pose estimation in interacting mice and constructs the MTMB dataset, showing improved performance over existing methods.

The paper shows mice adjust their learning rate based on environmental volatility and stochasticity in a probabilistic reversal task, using a meta-learning rule that captures these dependencies.

This study uses active place avoidance and machine learning to show that defensive behaviors in mice depend on threat imminence, punishment intensity, and behavioral agency, with sex-dependent differences.

This study shows that noradrenergic signaling in the orbitofrontal cortex adjusts learning rates based on environmental volatility, improving adaptive decision-making in rats.

The paper identifies strategy-dependent roles of direct and indirect striatal projecting neurons in decision-making using a mouse gambling task and reinforcement-learning model.

This study shows that dopaminergic activity in the ventral tegmental area shapes social roles and labor division in mouse triads through competitive and cooperative strategies.

The paper shows dopamine stabilizes reward-related neural attractors and guides behavior by activating them online in mice.

The paper shows that intrinsic properties enhance attractor reliability in noisy neural networks through biophysical mechanisms, improving controllability, stability, and independence of attractor dynamics.

The paper investigates how mice generate self-initiated goal-directed choices through interactions between the ventral tegmental area, prefrontal cortex, and orbitofrontal cortex.

This study shows chronic nicotine exposure shifts decision-making strategies toward increased exploitation in a foraging task, with optogenetic manipulation of dopamine neurons replicating this effect.

The paper shows lactate enhances cortical neuron spiking activity through KATP channels and is preferentially used as an energy substrate over glucose.

This paper presents a computational model of reward prediction error computation in the VTA, proposing that GABA signals encode magnitude and timing separately from the Ventral Striatum and Peduncolopontine.

This study shows mice generate choice variability in a deterministic task through memory-free, pseudo-random selection rather than learning complex sequences.

This study shows that somatic nicotinic acetylcholine receptors in VTA dopamine neurons modulate firing properties and reward-related behaviors through optical manipulation.

The paper shows that social interactions shape individuality in mice by altering dopaminergic system adaptations and behavioral traits.

This study shows that phasic dopamine activity, modulated by acetylcholine receptors, predicts exploratory behavior and uncertainty-seeking in mice during decision-making tasks.