Using deep neural networks to understand functional specialization in the human visual cortex
This project aims to uncover the origins of functional specialization in the brain's visual pathway by integrating computational modeling, naturalistic behavior sampling, and neuroimaging.
Projectdetails
Introduction
Over the last few decades, neuroscientists have identified multiple brain regions that perform distinct, often highly specialized functions such as processing faces, understanding language, and even thinking about what other people are thinking. Despite our increased understanding of the computations performed in these regions, the precise causes and origins of functional specialization in the brain are still a mystery and not accessible to direct experimental approaches.
Proposed Methodology
Here, we propose to combine cutting-edge computational modelling, large-scale sampling of naturalistic behaviour, and human neuroimaging to overcome these limitations. Focusing on visual perception, we will exploit the latest advances in artificial neural networks to probe three critical aspects of functional specialization in the ventral visual pathway:
-
Characterization of Visual Categories: By training networks on natural and artificial visual categories and identifying which features result in functional specialization, we will characterize what it is about a visual category that leads to functional specialization.
-
Impact of Visual Experience: We will leverage large-scale egocentric datasets of infant and adult visual input to test how visual experience and natural input statistics shape functional specialization during development.
-
Understanding Neural Specialization: We will ask why certain neural features become specialized for high-level visual categories in the human visual cortex in the first place.
Critically, for each of these aspects, we will close the loop and directly test and validate its predictions in the human brain.
Significance of the Project
Our project will shed light on functional specialization from a new angle – by relating functional specialization to the computational constraints of performing tasks in the real world. Using this novel approach, our project tackles some of the most fundamental questions about the functional organization of the human mind and brain – the what, how, and why of functional specialization.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.494.750 |
Totale projectbegroting | € 1.494.750 |
Tijdlijn
Startdatum | 1-1-2024 |
Einddatum | 31-12-2028 |
Subsidiejaar | 2024 |
Partners & Locaties
Projectpartners
- JUSTUS-LIEBIG-UNIVERSITAET GIESSENpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
Personalized priors: How individual differences in internal models explain idiosyncrasies in natural visionThis project aims to uncover the contents of individual internal models of natural vision through creative drawing methods, enhancing understanding of scene perception and its neural underpinnings. | ERC Starting... | € 1.484.625 | 2023 | Details |
A perturbative approach to model retinal processing of natural scenesThis project aims to develop realistic deep network models to understand retinal processing of natural scenes by mapping model components to retinal cell types and probing selectivity to stimuli perturbations. | ERC Consolid... | € 1.998.280 | 2022 | Details |
Language Processing in Blind Early Visual Cortex? Understanding Limits of Functional Plasticity in Human BrainThis project aims to investigate the functional plasticity of the early visual cortex in blind individuals to determine how it processes language, using advanced neuroimaging techniques. | ERC Starting... | € 1.340.288 | 2025 | Details |
Tracing Visual Computations from the Retina to BehaviorThis project aims to investigate how the superior colliculus integrates retinal signals to drive behavior using imaging, optogenetics, and modeling, revealing mechanisms of visual information processing. | ERC Starting... | € 1.871.465 | 2025 | Details |
It's about time: Towards a dynamic account of natural vision.TIME aims to revolutionize vision research by integrating semantic understanding and active information sampling through advanced brain imaging and bio-inspired deep learning, enhancing insights into visual cognition. | ERC Starting... | € 1.499.455 | 2022 | Details |
Personalized priors: How individual differences in internal models explain idiosyncrasies in natural vision
This project aims to uncover the contents of individual internal models of natural vision through creative drawing methods, enhancing understanding of scene perception and its neural underpinnings.
A perturbative approach to model retinal processing of natural scenes
This project aims to develop realistic deep network models to understand retinal processing of natural scenes by mapping model components to retinal cell types and probing selectivity to stimuli perturbations.
Language Processing in Blind Early Visual Cortex? Understanding Limits of Functional Plasticity in Human Brain
This project aims to investigate the functional plasticity of the early visual cortex in blind individuals to determine how it processes language, using advanced neuroimaging techniques.
Tracing Visual Computations from the Retina to Behavior
This project aims to investigate how the superior colliculus integrates retinal signals to drive behavior using imaging, optogenetics, and modeling, revealing mechanisms of visual information processing.
It's about time: Towards a dynamic account of natural vision.
TIME aims to revolutionize vision research by integrating semantic understanding and active information sampling through advanced brain imaging and bio-inspired deep learning, enhancing insights into visual cognition.
Vergelijkbare projecten uit andere regelingen
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
High-dimensional electrical stimulation for visual prosthesisThe project aims to enhance visual prostheses by developing sophisticated stimulation protocols for existing microelectrodes, achieving a 20X improvement in spatial resolution to restore vision in blind patients. | EIC Pathfinder | € 2.105.228 | 2022 | Details |
High-dimensional electrical stimulation for visual prosthesis
The project aims to enhance visual prostheses by developing sophisticated stimulation protocols for existing microelectrodes, achieving a 20X improvement in spatial resolution to restore vision in blind patients.