Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Organization of the Brain01:30

Organization of the Brain

2.2K
The brain is an integral component of the nervous system and serves as the center for processing sensory inputs, making decisions, and directing bodily actions. This complex organ is organized into three primary sections: the hindbrain, midbrain, and forebrain, each responsible for a range of vital functions.
Hindbrain
The hindbrain, located at the base of the brain, plays a vital role in regulating automatic processes that sustain life. It includes the medulla oblongata, which is essential for...
2.2K
Anatomy of the Brain: Major Regions01:20

Anatomy of the Brain: Major Regions

9.4K
The brain is the most complex organ in the human body. It consists of four main parts: the cerebrum, diencephalon, cerebellum, and brainstem.
The cerebrum is the largest section of the brain and divides into left and right hemispheres, separated by a deep fissure. The cerebral outer layer of grey matter — the cerebral cortex — comprises elevations called gyri and shallow groves called sulci. The inner portion of white matter includes long nerve fibers known as axons, which connect...
9.4K
Brain Imaging01:14

Brain Imaging

605
Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
605
Functional Brain Systems: Limbic System01:15

Functional Brain Systems: Limbic System

6.1K
The limbic system, often called the "emotional brain," is a complex set of structures located deep within the brain. The intricate network of the limbic system supports a wide range of psychological functions, from emotional regulation to memory formation and sensory processing. This functional brain region encompasses specific parts of the diencephalon and the cerebrum, integrating the higher mental functions of the cerebral cortex with the primitive emotional responses of the deep brain...
6.1K
Introduction to Biological Bases of Psychology01:30

Introduction to Biological Bases of Psychology

4.3K
Biopsychology serves as a vital bridge connecting the intricate domains of biology and psychology, shedding light on how biological systems influence psychological phenomena. This field scrutinizes the biological substrates of behavior and mental processes, emphasizing the nervous system along with the roles of neurotransmitters, hormones, and genetics. It also incorporates evolutionary perspectives to explain the adaptive nature of mental functions.
The nervous system, the cornerstone of...
4.3K
Functional Brain Systems: Reticular Formation01:13

Functional Brain Systems: Reticular Formation

4.0K
The reticular formation is a complex network of gray and white matter located within the brainstem extending from the medulla to the midbrain.
Within the reticular formation, there are several distinct nuclei that can be classified into three broad categories. The Raphe nuclei are located along the midline of the brainstem. They are primarily known for their role in synthesizing and releasing serotonin, a neurotransmitter involved in regulating mood, appetite, sleep, and circadian rhythms. The...
4.0K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Confidence in naturalistic decision making.

Neuroscience of consciousness·2026
Same author

Type-1 and type-2 decisions feature computational noise of similar magnitude.

Communications psychology·2026
Same author

Replicating the unconscious working memory effect: a multisite Registered Report.

Neuroscience of consciousness·2026
Same author

Using artificial neural networks to reveal the human confidence computation.

PLoS computational biology·2025
Same author

Publisher Correction: Automatic multisensory integration follows subjective confidence rather than objective performance.

Communications psychology·2025
Same author

Automatic multisensory integration follows subjective confidence rather than objective performance.

Communications psychology·2025

Related Experiment Video

Updated: Jan 3, 2026

Microdissection of Mouse Brain into Functionally and Anatomically Different Regions
08:06

Microdissection of Mouse Brain into Functionally and Anatomically Different Regions

Published on: February 15, 2021

53.9K

The Bayesian brain: What is it and do humans have it?

Dobromir Rahnev1

  • 1School of Psychology, Georgia Institute of Technology, Atlanta, GA30332. rahnev@psych.gatech.eduwww.rahnevlab.gatech.edu.

The Behavioral and Brain Sciences
|November 29, 2019
PubMed
Summary

The "Bayesian brain" concept lacks a clear definition and evidence. This paper argues for a precise definition, stating brains are not proven Bayesian machines.

Area of Science:

  • Cognitive Neuroscience
  • Computational Neuroscience
  • Philosophy of Mind

Background:

  • The concept of a "Bayesian brain" is frequently discussed in scientific literature.
  • However, the term lacks a standardized definition, leading to varied interpretations among researchers.
  • This ambiguity hinders clear communication and scientific progress in understanding brain function.

Purpose of the Study:

  • To critically examine the definition and usage of the "Bayesian brain" concept.
  • To propose a precise definition for the term, aligning with a realist perspective.
  • To assess the current empirical evidence supporting the claim that brains operate as actual Bayesian machines.

Main Methods:

  • Literature review and conceptual analysis of the "Bayesian brain" hypothesis.

More Related Videos

Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping
13:12

Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping

Published on: August 12, 2019

46.2K
Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.4K

Related Experiment Videos

Last Updated: Jan 3, 2026

Microdissection of Mouse Brain into Functionally and Anatomically Different Regions
08:06

Microdissection of Mouse Brain into Functionally and Anatomically Different Regions

Published on: February 15, 2021

53.9K
Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping
13:12

Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping

Published on: August 12, 2019

46.2K
Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.4K
  • Examination of existing research and theoretical frameworks.
  • Argumentation based on logical reasoning and empirical evaluation.

    • Main Results:

    • The term "Bayesian brain" is inconsistently defined across different studies and authors.
    • A proposed definition frames the "Bayesian brain" as a realist assertion of brains as actual Bayesian machines.
    • Currently, there is a lack of direct empirical evidence to substantiate this realist claim.

    Conclusions:

    • The widespread assertion of a "Bayesian brain" is not supported by a clear definition or empirical evidence.
    • Clarifying the definition is crucial for advancing research in computational neuroscience and cognitive science.
    • Future research should focus on developing and testing empirical methods to investigate the brain's computational mechanisms.