Fronto-Sensory Circuits in Flexible Generalised Rule Learning
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AI plain-English summaryEvery time you learn a new rule—like which button to press when you hear a tone—your brain must flexibly shift attention between senses and past experiences. This project investigates exactly how that happens, by watching neural circuits in real time as mice learn tactile and crossmodal rules. The core problem is that we do not understand the specific feedback signals that frontal brain areas send to sensory cortices to guide flexible learning, nor how those signals break down in conditions like autism spectrum disorder (ASD). The researcher will use advanced imaging to track activity in the orbitofrontal cortex and its connections to sensory regions during rule-learning tasks. They will then extend these findings to mouse models of Rett, Shank3, and Fragile-X syndromes—three genetic forms of ASD—to pinpoint where inflexible behaviour originates. A novel genetic tool called Beatrix will help identify which individual mutant neurons cause the problem. This is fundamental science: it will not produce a treatment tomorrow. But understanding the circuit-level mechanisms of flexible learning could eventually reveal cognitive biomarkers for ASD, enabling earlier diagnosis or more targeted interventions for behavioural inflexibility.
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