Cortical circuitry underlying behavioral context and learning
In plain English
AI plain-English summaryThe neocortex’s six layers are wired like a city’s districts, but no one knows what each layer actually does during thinking or learning. This project will record and manipulate neurons in the somatosensory cortex of animals performing sensory discrimination tasks, testing whether upper layers create flexible, high-dimensional representations for complex tasks while deep layers produce simpler, generalisable ones. It will also map how circuits rewire as animals learn to link sensory cues with context. This matters because neocortical dysfunction is thought to underlie many neurological and psychiatric disorders—from schizophrenia to autism—yet the basic logic of how its layers compute remains unknown. If successful, the work will produce a mechanistic framework for how all neocortical areas enable flexible behaviour, and how that process breaks down in disease. This is fundamental science: it will not yield a treatment or device tomorrow. But understanding the layered architecture of learning could eventually guide therapies that target specific circuit layers, or inform brain-computer interfaces that mimic the cortex’s flexible processing.
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