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

Información del proyecto

TIME

Identificador del acuerdo de subvención: 101039524

DOI

10.3030/101039524

Fecha de la firma de la CE 24 Marzo 2022

Fecha de inicio 1 Julio 2022

Fecha de finalización 30 Junio 2027

Financiado con arreglo a

• European Research Council (ERC)

Coste total

€ 1 499 455,00

Aportación de la UE

€ 1 499 455,00

Coordinado por

UNIVERSITAET OSNABRUECK
Germany

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

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

Publicaciones

Conference proceedings (9)

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

Autores: Bosch V., Gütlin, D., Doerig, A., Anthes, D., Thorat, S., König P., Kietzmann, T.C.
Publicado en: 2024
Editor: Cognitive Computational Neuroscience

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

Autores: Daniel Anthes, Sushrut Thorat, Peter König, Tim Kietzmann
Publicado en: 2023 Conference on Cognitive Computational Neuroscience, 2023
Editor: 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.

Autores: Lu, Z., Doerig, A., Bosch, V., Krahmer, B., Kaiser, D., Cichy, R., Kietzmann, T.C.
Publicado en: 2023
Editor: Cognitive Computational Neuroscience
DOI: 10.32470/ccn.2023.1284-0

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

Autores: Anthes D*, Thorat S*, König P, Kietzmann T.C.
Publicado en: 3rd Conference on Lifelong Learning Agents, Edición 3, 2024
Editor: COLLAS 2024
DOI: 10.48550/arXiv.2310.04741

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

Autores: Doerig, A., Kirubeswaran, O.R., Kietzmann, T.C.
Publicado en: Conference on Cognitive Computational Neuroscience, 2023
Editor: Cognitive Computational Neuroscience
DOI: 10.32470/CCN.2023.1311-0

Characterising representation dynamics in recurrent neural networks for object recognition

Autores: Thorat, Sushrut; Doerig, Adrien; Kietzmann, Tim C.
Publicado en: No journal title, 2023
Editor: Cognitive Computational Neuroscience
DOI: 10.32470/ccn.2023.1088-0

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

Autores: Agnessa Karapetian; Antoniya Boyanova; Muthukumar Pandaram; Klaus Obermayer; Tim C. Kietzmann; Radoslaw M. Cichy
Publicado en: Journal of Vision, Edición 23, 2023
Editor: 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

Autores: Daniel Anthes, Sushrut Thorat, Peter König, Tim C Kietzmann
Publicado en: 2024
Editor: Cognitive Computational Neuroscience

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

Autores: Lotta Piefke, Adrien Doerig, Tim Kietzmann, Sushrut Thorat
Publicado en: No journal title, 2024
Editor: ArXiv
DOI: 10.48550/arXiv.2402.01056

Peer reviewed articles (4)

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

Autores: Agnessa Karapetian; Antoniya Boyanova; Muthukumar Pandaram; Klaus Obermayer; Tim C. Kietzmann; Radoslaw M. Cichy
Publicado en: Journal of Cognitive Neuroscience, 2023, ISSN 1530-8898
Editor: MIT Press
DOI: 10.1162/jocn_a_02043

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

Autores: Kamila M Jozwik; Tim C Kietzmann; Radoslaw M Cichy; Nikolaus Kriegeskorte; Marieke Mur
Publicado en: The Journal of Neuroscience, 2023, ISSN 1529-2401
Editor: Society for Neuroscience
DOI: 10.1523/jneurosci.1424-22.2022

The neuroconnectionist research programme

Autores: 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
Publicado en: Nature Reviews Neuroscience, 2023, ISSN 1471-0048
Editor: Springer Nature
DOI: 10.48550/arxiv.2209.03718

PLoS Biology

Autores: David Richter; Tim C. Kietzmann; Floris P. de Lange
Publicado en: PLOS Biology, 2024, ISSN 1544-9173
Editor: PLOS
DOI: 10.1371/journal.pbio.3002829

Other (3)

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

Autores: Adrien Doerig, Tim C Kietzmann, Emily Allen, Yihan Wu, Thomas Naselaris, Kendrick Kay, Ian Charest
Publicado en: arxiv preprint, 2024
Editor: 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

Autores: Lu, Zejin; Doerig, Adrien; Bosch, Victoria; Krahmer, Bas; Kaiser, Daniel; Cichy, Radoslaw M; Kietzmann, Tim C
Publicado en: 2023
Editor: arxiv
DOI: 10.48550/arxiv.2308.09431

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

Autores: Carmen Amme, Philip Sulewski, Eelke Spaak, Martin N. Hebart, Peter König, Tim C. Kietzmann
Publicado en: 2024
Editor: biorxiv; Cold Spring Harbor Laboratory
DOI: 10.1101/2024.10.25.620167