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Batifol, C.

Publications and source records attributed to Batifol, C..

2 recordsLinked to original sources

Dopaminergic mechanisms of dynamical social specialization in mouse microsocieties

Social organization and division of labor are fundamental to animal societies, but how do these structures emerge from individual interactions, and what role does neuromodulation play in shaping them? Using behavioral tracking in a semi-natural environment, neural recordings, and computational models integrating reinforcement and social learning, we show that groups of three isogenic mice spontaneously develop specialized roles while solving a foraging task requiring individual decisions under social constraints. Moreover, these roles are shaped by dopaminergic activity in the ventral tegmental area. Strikingly, despite minor sex-differences in behavior when mice were tested alone, male triads formed stable worker-scrounger relationships driven by competition, whereas female triads adopted uniform, cooperative strategies. Model analysis revealed how intra- and inter-sex parameter differences in resource exploitation, combined with contingent and dynamic social interactions, drive behavioral specialization and labor division. Most notably, it highlighted how contingency, amplified by competition, magnifies individual differences and shapes social profiles. The plastic, adaptive nature of social organization within triads was confirmed by manipulating dopaminergic cell activity, which reshaped social roles and altered group structure. Our findings support a feedback loop where social context shapes neural states, which in turn reinforce behavioral specialization and stabilize social structures.

neuroscience↗

Cerebellar interneuron activity is triggered by reach endpoint during learning of a complex locomotor task

Locomotion in complex environments depends on the precise timing and active control of single paw movements in order to adapt steps to surface structure and coordinate paws. Such motor control crucially depends on the cerebellum, which is thought to support moment-to-moment prediction and correction of paw trajectories. Although cerebellar activity has been linked to limb kinematics on flat surfaces, it remains unknown how cerebellar cortical neurons encode paw movements when gait becomes irregular and the requirements for precise motor control vary dynamically. To address this question, we developed LocoReach: a new task which combines continuous and discrete aspects of motor control by requiring mice to walk on a runged treadmill, where each step involves reaching for the next rung. Over several days of learning, mice became increasingly proficient at LocoReach, so that they made fewer, longer strides with faster swings and fewer missteps. Through real-time optogenetic disruption of cerebellar processing, we shortened the swing of the perturbed paw highlighting the online contribution of lobule simplex to precise limb control the task. We next investigated the role of the cerebellar lobule simplex during LocoReach learning using electrophysiological recordings, with particular focus on molecular layer interneurons (MLIs) that shape the timing and gain of Purkinje cell (PC) output. When analyzing behaviorally-evoked responses in MLIs and PCs, we found sharp changes in activity around paw-specific transitions from swing to stance and vice versa. Cells in lobule simplex showed clear behavioral specificity: most neurons were tuned to swing-stance transitions of the ipsilateral paw, a large proportion encoded transitions of other or even multiple paws. Specifically MLIs exhibited larger amplitude firing-rate changes during longer strides acquired through learning, indicating increased engagement during higher-demand steps. These results show that cerebellar activity is tightly aligned to defined events in the step cycle, providing a mechanism through which cerebellar cortical circuits can contribute to the precise control of paw placement during adaptive locomotion.

neuroscience↗