Skip to main content
European Commission logo print header

Computational Neurophenomenology: Explaining Concious Experiences in terms of Neural Mechanisms

Project description

A neurodynamical look into consciousness

In the area of psychology and neuroscience, consciousness is an important field of research. The EU-funded CONSCIOUS project will explore how conscious experiences depend on the brain. To investigate how particular conscious experiences can be understood as arising from the brain’s ‘best guesses’, the project will develop novel machine-learning models. Neuroimaging will be used to test the idea that different kinds of neurally encoded predictions can account for different kinds of perceptual experience. By exploring correlations between patterns of brain activity and aspects of consciousness, as well as developing new theories about emergence and predictive processing, CONSCIOUS will examine how the globally unified character of conscious experiences emerges from neural dynamics.

Objective

How do conscious experiences depend on the brain? The CONSCIOUS project aims to make new progress on this oldest of questions by progressing from establishing correlations between patterns of brain activity and aspects of consciousness, towards developing and testing explanations in terms of neural mechanisms. By following this strategy, I believe the problem of consciousness will be dissolved rather than outright solved – similar to what happened with the study of life, decades ago.

One branch of CONSCIOUS will explore what it is like to be conscious ‘at all’. Here, I will make use of the concept of ‘emergence’ – the sense in which a system’s whole can seem to be more than the sum of its parts. I will test the idea that the globally unified character of conscious experiences emerges from neural dynamics, in a similar way to how a flock of birds emerges from the trajectories of the individual birds that make it up. This will involve developing new theoretically principled and practically applicable measures of emergence, and applying them to neurophysiological data reflecting different global states of consciousness.

A second branch will explore the nature of specific conscious perceptions, appealing to the influential idea of the brain as a ‘prediction machine’. Here, I will develop novel machine learning models to investigate how particular conscious experiences can be understood as arising from the brain’s ‘best guesses’ of the causes of its sensory inputs. I will use combinations of behavioural experiments and neuroimaging to test the idea that different kinds of neurally-encoded predictions can account for different kinds of perceptual experience.

CONSCIOUS is thoroughly multidisciplinary, bridging cognitive neuroscience, philosophy, statistical physics, machine learning, and artificial intelligence. It is only through such an approach that it is possible to make substantial progress towards a satisfying scientific account of conscious experience.

Coordinator

THE UNIVERSITY OF SUSSEX
Net EU contribution
€ 2 388 443,00
Address
Sussex house falmer
BN1 9RH Brighton
United Kingdom

See on map

Region
South East (England) Surrey, East and West Sussex Brighton and Hove
Activity type
Higher or Secondary Education Establishments
Links
Other funding
€ 0,00

Beneficiaries (2)