It's about time: Towards a dynamic account of natural vision.

Project Information

TIME

Grant agreement ID: 101039524

DOI

10.3030/101039524

EC signature date 24 March 2022

Start date 1 July 2022

End date 30 June 2027

Funded under

• European Research Council (ERC)

Total cost

€ 1 499 455,00

EU contribution

€ 1 499 455,00

Coordinated by

UNIVERSITAET OSNABRUECK
Germany

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Documents, reports (1)

Data Management Plan

The Data Management Plan will be developed during the first six months of the project in close collaboration with the Data Management Advisor of Osnabrück University, Dr. Marco Gronwald.https://www.ub.uni-osnabrueck.de/publizieren_archivieren/forschungsdaten.html

Publications

Conference proceedings (9)

CorText: large language models for cross-modal transformations from visually evoked brain responses to text captions

Author(s): Bosch V., Gütlin, D., Doerig, A., Anthes, D., Thorat, S., König P., Kietzmann, T.C.
Published in: 2024
Publisher: Cognitive Computational Neuroscience

Diagnosing Catastrophe: Large Parts of Accuracy Loss in Continual Learning Can Be Accounted for by Readout Misalignment

Author(s): Daniel Anthes, Sushrut Thorat, Peter König, Tim Kietzmann
Published in: 2023 Conference on Cognitive Computational Neuroscience, 2023
Publisher: Cognitive Computational Neuroscience
DOI: 10.32470/ccn.2023.1256-0

The brain can’t copy-paste: End-to-end topographic neural networks as a way forward for modelling cortical map formation and behaviour.

Author(s): Lu, Z., Doerig, A., Bosch, V., Krahmer, B., Kaiser, D., Cichy, R., Kietzmann, T.C.
Published in: 2023
Publisher: Cognitive Computational Neuroscience
DOI: 10.32470/ccn.2023.1284-0

Keep moving: identifying task-relevant subspaces to maximise plasticity for newly learned tasks.

Author(s): Anthes D*, Thorat S*, König P, Kietzmann T.C.
Published in: 3rd Conference on Lifelong Learning Agents, Issue 3, 2024
Publisher: COLLAS 2024
DOI: 10.48550/arXiv.2310.04741

Keep moving: sensorimotor integration of fixational eye-movements yields human-like superresolution in recurrent neural networks.

Author(s): Doerig, A., Kirubeswaran, O.R., Kietzmann, T.C.
Published in: Conference on Cognitive Computational Neuroscience, 2023
Publisher: Cognitive Computational Neuroscience
DOI: 10.32470/CCN.2023.1311-0

Characterising representation dynamics in recurrent neural networks for object recognition

Author(s): Thorat, Sushrut; Doerig, Adrien; Kietzmann, Tim C.
Published in: No journal title, 2023
Publisher: Cognitive Computational Neuroscience
DOI: 10.32470/ccn.2023.1088-0

Scene representations underlying categorization behaviour emerge 100 to 200 ms after stimulus onset

Author(s): Agnessa Karapetian; Antoniya Boyanova; Muthukumar Pandaram; Klaus Obermayer; Tim C. Kietzmann; Radoslaw M. Cichy
Published in: Journal of Vision, Issue 23, 2023
Publisher: Journal of Vision
DOI: 10.1167/jov.23.9.4689

Continual learning in artificial neural networks as a computational framework for understanding representational drift in biological systems

Author(s): Daniel Anthes, Sushrut Thorat, Peter König, Tim C Kietzmann
Published in: 2024
Publisher: Cognitive Computational Neuroscience

Computational characterization of the role of an attention schema in controlling visuospatial attention

Author(s): Lotta Piefke, Adrien Doerig, Tim Kietzmann, Sushrut Thorat
Published in: No journal title, 2024
Publisher: ArXiv
DOI: 10.48550/arXiv.2402.01056

Peer reviewed articles (4)

Empirically identifying and computationally modelling the brain-behaviour relationship for human scene categorization

Author(s): Agnessa Karapetian; Antoniya Boyanova; Muthukumar Pandaram; Klaus Obermayer; Tim C. Kietzmann; Radoslaw M. Cichy
Published in: Journal of Cognitive Neuroscience, 2023, ISSN 1530-8898
Publisher: MIT Press
DOI: 10.1162/jocn_a_02043

Deep neural networks and visuo-semantic models explain complementary components of human ventral-stream representational dynamics

Author(s): Kamila M Jozwik; Tim C Kietzmann; Radoslaw M Cichy; Nikolaus Kriegeskorte; Marieke Mur
Published in: The Journal of Neuroscience, 2023, ISSN 1529-2401
Publisher: Society for Neuroscience
DOI: 10.1523/jneurosci.1424-22.2022

The neuroconnectionist research programme

Author(s): Adrien Doerig; Rowan P. Sommers; Katja Seeliger; Blake Richards; Jenann Ismael; Grace W. Lindsay; Konrad P. Kording; Talia Konkle; Marcel A. J. van Gerven; Nikolaus Kriegeskorte; Tim C. Kietzmann
Published in: Nature Reviews Neuroscience, 2023, ISSN 1471-0048
Publisher: Springer Nature
DOI: 10.48550/arxiv.2209.03718

PLoS Biology

Author(s): David Richter; Tim C. Kietzmann; Floris P. de Lange
Published in: PLOS Biology, 2024, ISSN 1544-9173
Publisher: PLOS
DOI: 10.1371/journal.pbio.3002829

Other (3)

Visual representations in the human brain are aligned with large language models

Author(s): Adrien Doerig, Tim C Kietzmann, Emily Allen, Yihan Wu, Thomas Naselaris, Kendrick Kay, Ian Charest
Published in: arxiv preprint, 2024
Publisher: arxiv
DOI: 10.48550/arXiv.2209.11737

End-to-end topographic networks as models of cortical map formation and human visual behaviour: moving beyond convolutions

Author(s): Lu, Zejin; Doerig, Adrien; Bosch, Victoria; Krahmer, Bas; Kaiser, Daniel; Cichy, Radoslaw M; Kietzmann, Tim C
Published in: 2023
Publisher: arxiv
DOI: 10.48550/arxiv.2308.09431

Saccade onset, not fixation onset, best explains early responses across the human visual cortex during naturalistic vision

Author(s): Carmen Amme, Philip Sulewski, Eelke Spaak, Martin N. Hebart, Peter König, Tim C. Kietzmann
Published in: 2024
Publisher: biorxiv; Cold Spring Harbor Laboratory
DOI: 10.1101/2024.10.25.620167