A Predictive Coding Perspective of Brain Dynamics: the case of Oscillatory Travelling Waves
This project investigates the role of oscillatory traveling waves in brain dynamics using a multi-scale computational model to enhance understanding of cognitive functions and improve artificial vision systems.
Projectdetails
Introduction
One of the most exciting yet puzzling questions in Neuroscience is how the brain coordinates the activity between different areas, integrating distinct representations into conscious percepts and thoughts. For decades, neuroscientists have investigated how the brain orchestrates diverse regions’ activity, pointing at oscillations as one of the key mechanisms involved in such a process.
Research Focus
However, previous research has mainly focused on the temporal aspect of oscillatory dynamics, largely overlooking how oscillations propagate through the brain. Although rhythmic traveling waves have recently gained renewed interest, their functional role and relation to cognitive functions remain largely unknown.
Project Objective
In this project, I will address this fundamental question: what is the role of oscillatory traveling waves in brain dynamics? I plan to take on this challenge using a multi-scale computational approach, modeling neural dynamics within and between cortical regions, as well as cortical-thalamic interactions.
Methodology
Importantly, the novelty of this approach consists in framing the model in the light of Predictive Coding principles, to test the compelling yet striking hypothesis that traveling waves encode Predictions and Prediction-Errors.
Validation
The results of the simulations will be compared against experimental recordings in human participants to validate and assess the model’s predictions.
Future Applications
Lastly, some implementations will turn into deep learning architectures, to test their dynamics in visual tasks while improving current models of artificial vision.
Conclusion
All in all, this proposal can significantly advance our understanding of the neurophysiological mechanisms involved in sensory and cognitive functions, testing whether and how oscillatory traveling waves are a critical mechanism in neural dynamics, and producing fundamental results in the scientific field and future technological applications.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.427.563 |
Totale projectbegroting | € 1.427.563 |
Tijdlijn
Startdatum | 1-3-2023 |
Einddatum | 29-2-2028 |
Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRSpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
A unifying dynamical theory of distributed computation and generalisation in biological and artificial neural systemsThis project aims to develop a mathematical framework to model global brain dynamics and infer invariant representations from local neural recordings, enhancing understanding of cognitive processes and machine learning. | ERC Starting... | € 1.499.508 | 2025 | Details |
Defining an integrated model of the neural processing of speech in light of its multiscale dynamicsThis project aims to develop an integrated model of speech perception by analyzing neural oscillatory dynamics and their relationship with linguistic timescales using advanced neuroimaging techniques. | ERC Consolid... | € 1.861.100 | 2022 | Details |
Map and manipulate sleep oscillations to reveal their role in healthy cognitive developmentThis project aims to investigate the causal relationship between sleep architecture and cognitive development in young mammals using advanced neurobiological techniques to inform therapeutic strategies for developmental disorders. | ERC Starting... | € 1.500.000 | 2024 | Details |
Circuit mechanisms of cortical predictive learningThis project aims to investigate the circuit and neuromodulatory mechanisms of sensory prediction learning in the visual cortex, enhancing understanding of self-generated feedback processing and its implications for neurodevelopmental conditions and AI. | ERC Starting... | € 1.941.819 | 2024 | Details |
Active Inference and the Circuits of Precision and PredictionPREDICTION aims to uncover the neural mechanisms of high-level visual cognition by integrating advanced methods across disciplines to model hierarchical processing in the human brain. | ERC Advanced... | € 2.500.000 | 2025 | Details |
A unifying dynamical theory of distributed computation and generalisation in biological and artificial neural systems
This project aims to develop a mathematical framework to model global brain dynamics and infer invariant representations from local neural recordings, enhancing understanding of cognitive processes and machine learning.
Defining an integrated model of the neural processing of speech in light of its multiscale dynamics
This project aims to develop an integrated model of speech perception by analyzing neural oscillatory dynamics and their relationship with linguistic timescales using advanced neuroimaging techniques.
Map and manipulate sleep oscillations to reveal their role in healthy cognitive development
This project aims to investigate the causal relationship between sleep architecture and cognitive development in young mammals using advanced neurobiological techniques to inform therapeutic strategies for developmental disorders.
Circuit mechanisms of cortical predictive learning
This project aims to investigate the circuit and neuromodulatory mechanisms of sensory prediction learning in the visual cortex, enhancing understanding of self-generated feedback processing and its implications for neurodevelopmental conditions and AI.
Active Inference and the Circuits of Precision and Prediction
PREDICTION aims to uncover the neural mechanisms of high-level visual cognition by integrating advanced methods across disciplines to model hierarchical processing in the human brain.