Active Brain & Nervous System

Cortical circuitry underlying behavioral context and learning

In plain English

AI plain-English summary

The 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.

View original technical description
The neocortex mediates cognition, encompassing a diverse set of abilities including sensation, perception, decision making, planning, and movement. Dysfunctions of neocortex are thought to underlie numerous neurological and psychiatric disorders. All neocortical areas share a common laminar architecture, with stereotyped patterns of connectivity linking any given layer with another layer or with other nervous system structures. The computational and behavioral roles of the different layers have largely remained enigmatic. We will combine sensory discrimination tasks with cutting- edge approaches for manipulating, recording, imaging, and analyzing neuronal populations to investigate how cortical circuitry flexibly performs multiple task. This study will investigate the computational, behavioral, and plastic properties of layers in somatosensory cortex. Our first goal is to test the theory that upper layers create high-dimensional representations to flexibly support multiple complex tasks which deep layers balance with low-dimensional representations to enhance generalization. Our second goal is to understand cellular and circuit mechanisms by which cortex acquires task-dependent contextual representations during learning. Our study will contribute to new frameworks for understanding how all neocortical areas enable behavior and how various disorders disrupt cognitive processing.

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Researchers

Randy Bruno (EPMC Awardee)

Related Research

Grants with similar aims, by meaning.

Cortical layer-specific imaging of context-dependent cognitive processing
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Assembly and plasticity of inhibitory cortical networks by early learning experience
Distributed sensorimotor processing in the cortico-cerebellar system
Frontal cortical mechanisms and interactions during learning and decision making

Original classification

Discovery Award

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