We study how animals infer patterns and priors from their environment and use them to guide their behaviour. Our work focuses on:

• Sensory inference and memory organisation
• Neuronal computations underlying learning across timescales
• Integration of priors with sensory inputs and internal models

Our approach combines:

• High-throughput behavioural training
• Circuit-level monitoring and manipulation
• Theory-driven hypotheses and computational modelling

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