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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