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 …
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 …
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 …
This paper presents a version of neurophenomenology based on generative modelling techniques developed in computational neuroscience and biology. Our approach can be …
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 …
Whole-brain neural communication is typically estimated from statistical associations among electromagnetic or haemodynamic time-series. The relationship between functional network …
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 …
Several neuronal mechanisms have been proposed to account for the formation of cognitive abilities through postnatal interactions with the physical and sociocultural environment …
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 …