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Computational Neurophenomenology: Explaining Concious Experiences in terms of Neural Mechanisms

Descrizione del progetto

Uno sguardo neurodinamico alla coscienza

Nel campo della psicologia e della neuroscienza, la coscienza è un importante ambito di ricerca. Il progetto CONSCIOUS, finanziato dall’UE, analizzerà il modo in cui le esperienze coscienti dipendono dal cervello. Il progetto svilupperà nuovi modelli di apprendimento automatico per approfondire le modalità con cui specifiche esperienze coscienti possono essere comprese in quanto derivanti dalle «migliori ipotesi» cerebrali. Verrà utilizzata la tecnica di neuroimaging per collaudare l’idea secondo la quale diversi tipi di previsioni codificate in modo neurale possono rappresentare diversi tipi di esperienze percettive. CONSCIOUS studierà in che modo il carattere globalmente unificato di esperienze coscienti emerge da dinamiche neurali, esplorando le correlazioni tra gli schemi dell’attività cerebrale e gli aspetti della coscienza, nonché sviluppando nuove teorie sull’origine e sull’elaborazione predittiva.

Obiettivo

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.

Campo scientifico (EuroSciVoc)

CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP.

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Meccanismo di finanziamento

ERC-ADG - Advanced Grant

Istituzione ospitante

THE UNIVERSITY OF SUSSEX
Contribution nette de l'UE
€ 2 388 443,00
Indirizzo
SUSSEX HOUSE FALMER
BN1 9RH Brighton
Regno Unito

Mostra sulla mappa

Regione
South East (England) Surrey, East and West Sussex Brighton and Hove
Tipo di attività
Higher or Secondary Education Establishments
Collegamenti
Costo totale
€ 2 388 443,00

Beneficiari (2)