A theory and model of the neural transformations mediating human object perception

TRANSFORM aims to develop a predictive model and theory of neural transformations for object perception by integrating brain imaging, mathematical analysis, and computational modeling.

Subsidie
€ 2.291.855
2025

Projectdetails

Introduction

In the blink of an eye, our brain rapidly transforms the photons hitting our retina into a rich and detailed percept of the world as consisting of objects. By knowing what the objects are, and in what configuration these objects appear to us, we understand the meaning of the visual world around us. Yet, despite intense research, how neural transformations enable rich object perception remains unclear.

Research Goals

The overall goal of the research program TRANSFORM is to provide an explanatory theory of the neural transformations mediating rich object perception, and a predictive quantitative model embodying this theory.

Constraints for Theory and Model Building

Towards this goal, TRANSFORM will provide three strong and novel constraints for theory and model building:

  1. Neural Constraint: TRANSFORM will reveal the neural transformations underlying visual object perception in the mature brain.
  2. Behavioural Constraint: It will unravel the link between the neural transformation and object-related behaviour.
  3. Developmental Constraint: It will clarify the developmental trajectory of neural transformations underlying visual object perception from infancy into adulthood.

Research Strategy

For maximal efficiency and power in unified theory formation and model building, TRANSFORM will employ an integrated, interdisciplinary research strategy that combines:

  • Large-scale non-invasive brain imaging to capture neural transformations in space and time with unprecedented depth.
  • Advanced mathematical analysis to reveal the geometry of the transformations.
  • Computational modelling using deep neural networks to build a predictive, quantitative model of those transformations.

Conclusion

Through this orchestrated effort, TRANSFORM will provide the empirical pieces of evidence for a new theory and model of the neural transformations mediating our rich everyday experience of object vision and change the way we think about and investigate human vision and cognition.

Financiële details & Tijdlijn

Financiële details

Subsidiebedrag€ 2.291.855
Totale projectbegroting€ 2.291.855

Tijdlijn

Startdatum1-4-2025
Einddatum31-3-2030
Subsidiejaar2025

Partners & Locaties

Projectpartners

  • FREIE UNIVERSITAET BERLINpenvoerder

Land(en)

Germany

Vergelijkbare projecten binnen European Research Council

ERC Starting...

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.

€ 1.499.455
ERC Advanced...

Reading the mind’s eye: AI-inspired personalised brain models of mental imagery

This project aims to develop a personalized AI model of mental imagery by decoding neural activity and predicting image vividness, enhancing understanding and training of mental visualization.

€ 2.498.288
ERC Consolid...

How EXPectation and ATtention shape visual information processing in the human brain

EXPAT aims to uncover how expectation and attention influence visual information encoding in the human brain using advanced neuroimaging and analytical techniques.

€ 1.999.815
ERC Starting...

Uncovering the core dimensions of visual object representations

COREDIM aims to identify the core dimensions of visual object representations using neuroimaging, behavioral data, and AI, enhancing our understanding of visual processing in the brain.

€ 1.500.000
ERC Starting...

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.

€ 1.494.750