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Circuit in the brain connects thinking and seeing

Illustration of a brain with colored neural pathways highlighted in red and blue to show connections between regions

Researchers at Columbia University have identified a specific neural circuit that allows higher cognitive regions of the brain to flexibly control the processing of visual information. The mechanism is based on so-called disinhibition – inhibitory neurons suppress other inhibitory cells. The study was published in PLOS Biology.

Background

For a long time, the idea prevailed that early visual areas of the cortex merely passively relay sensory information, while complex processing and decision-making only occur in higher brain regions. However, recent studies suggest that early sensory areas already operate context-dependently and are influenced by higher cognitive processes.

Key Findings

The study shows that a special circuit with disinhibitory connections allows higher brain regions to specifically modulate the representation of information in early visual areas depending on the task. This enables the brain to flexibly switch between different rules or tasks without altering fundamental neural properties.

Methodology

The researchers developed a biologically realistic neural network model with excitatory and inhibitory neurons arranged hierarchically. The model was trained on tasks also used in human fMRI studies. By specifically weakening certain connections (especially inhibitory-inhibitory synapses) and through complementary experiments on mice, they were able to demonstrate the circuit's function.

Significance of Disinhibition

Disinhibitory connections give the system fine-grained control over how information is represented in the brain. If this mechanism is disrupted, the ability to flexibly switch tasks breaks down. The researchers see this as a fundamental mechanism that gives the brain its high adaptability.

Potential Implications for AI

The findings could also be relevant for the development of artificial intelligence. The researchers suspect that principles such as disinhibitory control could help make AI systems more efficient and adaptable, comparable to the energy efficiency of biological systems.

Outlook

Further investigations aim to directly confirm the mechanism in human patients (e.g., in epilepsy patients with intracranial recordings). In the long term, the researchers hope for a better understanding of how the brain realizes complex cognitive functions with high efficiency.

FAQ

What is the central mechanism of the study?
A disinhibitory circuit in which inhibitory neurons suppress other inhibitory cells, allowing higher brain regions to control processing in early sensory areas.

Why is this important?
The mechanism allows the brain to flexibly switch between different tasks and rules and to process sensory information context-dependently.

What does this mean for the classical view?
It is challenged: Early visual areas are not just passive relay stations but are actively involved in cognitive processes.

Are there also applications for AI?
The researchers see potential in using principles such as disinhibitory control for more efficient and adaptable AI systems.

How was the mechanism proven?
Through a biologically realistic computer model and complementary experiments on mice.

Illustration of a brain with colored neural pathways highlighted in red and blue to show connections between regions
The artwork illustrates activity patterns within a biologically based neural network embedded in a stylized cerebral cortex. The colored trajectories show how neural activity develops differently depending on the currently relevant information.

Credits
Columbia EngineeringNuttida Rungratsameetaweemana

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The Editors in Chief of labnews.ai are Marita Vollborn and Vlad Georgescu. They are bestselling authors, science writers and science journalists since 1994.More details about their writing on X-Press Journalistenbüro (https://xpress-journalisten.com).More Info on Wikipedia:About Marita: https://de.wikipedia.org/wiki/Marita_Vollborn About Vlad: https://de.wikipedia.org/wiki/Vlad_Georgescu
LabNews Media LLC

LabNews Media LLC

The Editors in Chief of labnews.ai are Marita Vollborn and Vlad Georgescu. They have been bestselling authors, science writers, and science journalists since 1994.More details about their writing at X-Press Journalistenbüro (https://xpress-journalisten.com).More Info on Wikipedia:About Marita: https://de.wikipedia.org/wiki/Marita_Vollborn About Vlad: https://de.wikipedia.org/wiki/Vlad_Georgescu