A free energy principle for generic quantum systems

C Fields, K Friston, JF Glazebrook, M Levin - Progress in Biophysics and …, 2022 - Elsevier
Abstract The Free Energy Principle (FEP) states that under suitable conditions of weak
coupling, random dynamical systems with sufficient degrees of freedom will behave so as to …

Deep learning and the global workspace theory

R VanRullen, R Kanai - Trends in Neurosciences, 2021 - cell.com
Recent advances in deep learning have allowed artificial intelligence (AI) to reach near
human-level performance in many sensory, perceptual, linguistic, and cognitive tasks. There …

[HTML][HTML] Brain-heart interactions in the neurobiology of consciousness

D Candia-Rivera - Current Research in Neurobiology, 2022 - Elsevier
Recent experimental evidence on patients with disorders of consciousness revealed that
observing brain-heart interactions helps to detect residual consciousness, even in patients …

[HTML][HTML] Mechanisms underlying disorders of consciousness: bridging gaps to move toward an integrated translational science

AI Luppi, J Cain, LRB Spindler, UJ Górska, D Toker… - Neurocritical care, 2021 - Springer
Aim In order to successfully detect, classify, prognosticate, and develop targeted therapies
for patients with disorders of consciousness (DOC), it is crucial to improve our mechanistic …

[HTML][HTML] From generative models to generative passages: a computational approach to (neuro) phenomenology

MJD Ramstead, AK Seth, C Hesp… - Review of Philosophy …, 2022 - Springer
This paper presents a version of neurophenomenology based on generative modelling
techniques developed in computational neuroscience and biology. Our approach can be …

[HTML][HTML] Neurophysiological signatures of cortical micro-architecture

G Shafiei, BD Fulcher, B Voytek… - Nature …, 2023 - nature.com
Systematic spatial variation in micro-architecture is observed across the cortex. These micro-
architectural gradients are reflected in neural activity, which can be captured by …

[HTML][HTML] Human electromagnetic and haemodynamic networks systematically converge in unimodal cortex and diverge in transmodal cortex

G Shafiei, S Baillet, B Misic - PLoS biology, 2022 - journals.plos.org
Whole-brain neural communication is typically estimated from statistical associations among
electromagnetic or haemodynamic time-series. The relationship between functional network …

The predictive global neuronal workspace: A formal active inference model of visual consciousness

CJ Whyte, R Smith - Progress in neurobiology, 2021 - Elsevier
The global neuronal workspace (GNW) model has inspired over two decades of hypothesis-
driven research on the neural basis of consciousness. However, recent studies have …

Multilevel development of cognitive abilities in an artificial neural network

K Volzhenin, JP Changeux… - Proceedings of the …, 2022 - National Acad Sciences
Several neuronal mechanisms have been proposed to account for the formation of cognitive
abilities through postnatal interactions with the physical and sociocultural environment …

On the link between conscious function and general intelligence in humans and machines

A Juliani, K Arulkumaran, S Sasai, R Kanai - arXiv preprint arXiv …, 2022 - arxiv.org
In popular media, there is often a connection drawn between the advent of awareness in
artificial agents and those same agents simultaneously achieving human or superhuman …