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Brain Circuit Simulation: New Computer Model for Decision-Making Research

October 22, 2025 Jennifer Chen Health
News Context
At a glance
  • Every day, your brain makes thousands of decisions under uncertainty.
  • Picture groups of neurons⁣ casting votes-some optimistic,some pessimistic.
  • When that balance skews, the brain‍ can misread the ⁢world: assigning too much meaning to random events, as in schizophrenia, or becoming stuck in rigid patterns, as in...
Original source: news-medical.net

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New Brain Model simulates⁤ How ⁣We Make Decisions Under Uncertainty


New Brain Model Simulates How We Make Decisions Under Uncertainty

Table of Contents

  • New Brain Model Simulates How We Make Decisions Under Uncertainty
    • at a⁣ Glance
    • How CogLinks Works: A Deeper Dive
    • Implications for Psychiatric Disorders

at a⁣ Glance

  • What: A new computer‍ model called CogLinks simulates brain circuits and decision-making processes.
  • Where: Developed by ⁤researchers⁤ at Tufts University school of Medicine and MIT.
  • When: Research published October 16, 2023, in nature Communications.
  • Why it‍ Matters: Provides a biologically realistic framework for understanding psychiatric⁣ disorders and how the brain adapts to changing information.
  • WhatS Next: Further research will explore ⁤specific⁤ circuit malfunctions in conditions like schizophrenia and obsessive-compulsive disorder.

Every day, your brain makes thousands of decisions under uncertainty. Most of the time, you ⁤guess right. When you don’t, you ⁤learn. But when the brain’s ability to judge context or ‍assign meaning⁣ falters,thoughts and behavior can go astray. In psychiatric disorders ranging from attention-deficit/hyperactivity disorder to schizophrenia, the brain ⁣may ⁤misjudge how much evidence to gather before acting-or fail to adjust when the rules of the world change based on new information.

Uncertainty is built into the brain’s wiring. Picture groups of neurons⁣ casting votes-some optimistic,some pessimistic. Your decisions reflect the average.

Michael Halassa,‍ professor of neuroscience, ⁢Tufts University School ‍of Medicine

When that balance skews, the brain‍ can misread the ⁢world: assigning too much meaning to random events, as in schizophrenia, or becoming stuck in rigid patterns, as in obsessive-compulsive disorder.

Understanding those misfires has long challenged scientists, says Halassa. “The brain speaks the language of single ⁤neurons. But fMRI-the⁣ tool we use to study brain activity in people-tracks blood flow, not the electrical chatter of ‍individual brain cells.”

Bridging that gap means combining insights from single-cell studies in animals, human brain imaging, and behavior. Now, a new kind of computer model-grounded in ⁢real biology-lets researchers simulate how brain circuits make decisions and ⁤adapt when the rules change.

Called CogLinks, the⁤ model builds⁣ biological realism ‍into its design, mirroring how real brain cells are connected and coding for how they assign value to often ambiguous and incomplete observations about the external environment. Unlike many ⁢artificial intelligence systems that act like “black boxes,” CogLinks shows researchers exactly how its virtual⁤ neurons⁢ link structure to function. As an inevitable⁣ result,scientists can map ⁤how this virtual brain learns from experience and pivots based on new information.

How CogLinks Works: A Deeper Dive

CogLinks isn’t just a theoretical construct; it’s a‍ functional simulation. It replicates ‍the interconnectedness of neurons⁤ and their varying responses to stimuli. This allows researchers to observe, in a controlled environment, how changes in ‍neural connections affect decision-making.⁣ The model’s ability ‍to simulate adaptation is particularly crucial. Real-world environments are rarely static; rules change,and the brain must constantly update its understanding. CogLinks allows scientists⁢ to test how effectively the brain handles these shifts.

Implications for Psychiatric Disorders

The advancement of CogLinks has meaningful implications for understanding and perhaps treating ⁤psychiatric disorders. By simulating circuit malfunctions, researchers can gain insights into the underlying mechanisms of conditions ⁤like schizophrenia and obsessive-compulsive disorder. Such as, the model can help explain ‍why individuals with schizophrenia might assign undue⁤ significance to irrelevant stimuli, or why

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brain, Cortex, Hyperactivity, Imaging, Medicine, mental health, Neurons, Neuroscience, psychiatry, Research, schizophrenia, Thalamus

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