Bayesian brain theory: Computational neuroscience of belief
H Bottemanne - Neuroscience, 2024 - Elsevier
Bayesian brain theory, a computational framework derived from the principles of Predictive
Processing (PP), proposes a mechanistic formulation of belief generation and updating. This …
Processing (PP), proposes a mechanistic formulation of belief generation and updating. This …
On the minimal theory of consciousness implicit in active inference
The multifaceted nature of experience poses a challenge to the study of consciousness.
Traditional neuroscientific approaches often concentrate on isolated facets, such as …
Traditional neuroscientific approaches often concentrate on isolated facets, such as …
[HTML][HTML] Quantum-tunneling deep neural network for optical illusion recognition
IS Maksymov - APL Machine Learning, 2024 - pubs.aip.org
The discovery of the quantum tunneling (QT) effect—the transmission of particles through a
high potential barrier—was one of the most impressive achievements of quantum mechanics …
high potential barrier—was one of the most impressive achievements of quantum mechanics …
Precision not prediction: Body-ownership illusion as a consequence of online precision adaptation under Bayesian inference
Humans can experience body-ownership of new (external) body parts, for instance, via
visuotactile stimulation. While there are models that capture the influence of such body …
visuotactile stimulation. While there are models that capture the influence of such body …
A decision-theoretic model of multistability: perceptual switches as internal actions
Perceptual multistability has been studied for centuries using a diverse collection of
approaches. Insights derived from this phenomenon range from core principles of …
approaches. Insights derived from this phenomenon range from core principles of …
Neurosciences computationnelles de la croyance
H Bottemannel - The Tocqueville Review, 2024 - utppublishing.com
La théorie du cerveau bayésien, une approche computationnelle issue des principes du
traitement prédictif (PP, Predictive Processing), propose une formulation mécanistique de la …
traitement prédictif (PP, Predictive Processing), propose une formulation mécanistique de la …
A Bayesian account of how neural structures shape function
N Sajid - 2024 - discovery.ucl.ac.uk
Considering the enormous complexity of the brain, advancing our understanding
necessitates computational abstraction to analyse its intricate components. This thesis …
necessitates computational abstraction to analyse its intricate components. This thesis …