The predictive mind: An introduction to Bayesian Brain Theory,L’esprit predictif : introduction à la théorie du cerveau bayésien

H. Bottemanne, Y. Longuet, C. Gauld
L'Encéphale. 2022-08-01; 48(4): 436-444
DOI: 10.1016/j.encep.2021.09.011

PubMed

1. Encephale. 2022 Aug;48(4):436-444. doi: 10.1016/j.encep.2021.09.011. Epub 2022
Jan 7.

[The predictive mind: An introduction to Bayesian Brain Theory].

[Article in French]

Bottemanne H(1), Longuet Y(2), Gauld C(3).

Author information:
(1)Paris Brain Institute – Institut du Cerveau (ICM), Sorbonne
university/CNRS/Inserm, Paris, France; Sorbonne University, Department of
Philosophy, SND research unit, UMR 8011, CNRS, Paris, France; Department of
psychiatry, Pitié-Salpêtrière hospital, DMU Neuroscience, Sorbonne university,
Assistance publique-Hôpitaux de Paris (AP-HP), Paris, France. Electronic
address: .
(2)Department of psychiatry, Claude Bernard Lyon 1 university, 69000 Lyon,
France.
(3)Department of psychiatry, university of Grenoble, 38000 Grenoble, France;
IHPST UMR 8590, Sorbonne university, Paris 1, France.

The question of how the mind works is at the heart of cognitive science. It aims
to understand and explain the complex processes underlying perception,
decision-making and learning, three fundamental areas of cognition. Bayesian
Brain Theory, a computational approach derived from the principles of Predictive
Processing (PP), offers a mechanistic and mathematical formulation of these
cognitive processes. This theory assumes that the brain encodes beliefs
(probabilistic states) to generate predictions about sensory input, then uses
prediction errors to update its beliefs. In this paper, we present an
introduction to the fundamentals of Bayesian Brain Theory. We show how this
innovative theory hybridizes concepts inherited from the philosophy of mind and
experimental data from neuroscience, and how it translates complex cognitive
processes such as perception, action, emotion, or belief, or even the
psychiatric symptomatology.

DOI: 10.1016/j.encep.2021.09.011
PMID: 35012898 [Indexed for MEDLINE]