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Related Experiment Video

Updated: Oct 20, 2025

Brain Banking: Making the Most of your Research Specimens

Brain Banking: Making the Most of your Research Specimens

Published on: July 24, 2009

Precision and the Bayesian brain.

Daniel Yon¹, Chris D Frith²

¹Department of Psychology, Goldsmiths, University of London, Lewisham Way, London SE14 6NW, UK; Department of Psychological Sciences, Birkbeck, University of London, Malet Street, London WC1E 7HX, UK.

Current Biology : CB

|September 14, 2021

Summary

This summary is machine-generated.

The brain balances prior knowledge and evidence using precision, weighing reliable information more heavily. Understanding brain precision is key to cognitive science and computational psychiatry, explaining unusual beliefs and experiences.

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Area of Science:

Cognitive Science
Computational Neuroscience
Computational Psychiatry

Background:

The Bayesian brain hypothesis posits that the brain integrates prior knowledge with incoming evidence.
A core principle is 'precision,' which dictates how the brain weights different information sources based on reliability.
Precision is central to understanding cognitive processes and has implications for computational psychiatry.

Purpose of the Study:

To define and explain the concept of precision in computational models of the brain.
To illustrate the role of precision in perception, learning, self-awareness, and social interaction.
To explore emerging and radical shifts in understanding how the brain estimates precision.

Main Methods:

Review and synthesis of classic and contemporary computational models.
Explanation of the concept of precision and its application in cognitive science.
Discussion of the implications of precision in computational psychiatry.

Main Results:

Precision is a fundamental concept for balancing prior knowledge and sensory evidence in the brain.
Abnormal precision estimation is hypothesized to underlie unusual beliefs and experiences in psychiatric conditions.
The concept of precision has broad applications across various cognitive domains.

Conclusions:

The concept of precision is crucial for understanding brain function and cognitive processes.
Further clarification is needed on the precise mechanisms and implications of precision in the brain.
Understanding precision is vital for advancing computational psychiatry and cognitive neuroscience.