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

Informazioni relative al progetto

TIME

ID dell’accordo di sovvenzione: 101039524

DOI

10.3030/101039524

Data della firma CE 24 Marzo 2022

Data di avvio 1 Luglio 2022

Data di completamento 30 Giugno 2027

Finanziato da

• European Research Council (ERC)

Costo totale

€ 1 499 455,00

Contributo UE

€ 1 499 455,00

Coordinato da

UNIVERSITAET OSNABRUECK
Germany

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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

Pubblicazioni

Conference proceedings (9)

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

Autori: Bosch V., Gütlin, D., Doerig, A., Anthes, D., Thorat, S., König P., Kietzmann, T.C.
Pubblicato in: 2024
Editore: Cognitive Computational Neuroscience

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

Autori: Daniel Anthes, Sushrut Thorat, Peter König, Tim Kietzmann
Pubblicato in: 2023 Conference on Cognitive Computational Neuroscience, 2023
Editore: 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.

Autori: Lu, Z., Doerig, A., Bosch, V., Krahmer, B., Kaiser, D., Cichy, R., Kietzmann, T.C.
Pubblicato in: 2023
Editore: Cognitive Computational Neuroscience
DOI: 10.32470/ccn.2023.1284-0

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

Autori: Anthes D*, Thorat S*, König P, Kietzmann T.C.
Pubblicato in: 3rd Conference on Lifelong Learning Agents, Numero 3, 2024
Editore: COLLAS 2024
DOI: 10.48550/arXiv.2310.04741

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

Autori: Doerig, A., Kirubeswaran, O.R., Kietzmann, T.C.
Pubblicato in: Conference on Cognitive Computational Neuroscience, 2023
Editore: Cognitive Computational Neuroscience
DOI: 10.32470/CCN.2023.1311-0

Characterising representation dynamics in recurrent neural networks for object recognition

Autori: Thorat, Sushrut; Doerig, Adrien; Kietzmann, Tim C.
Pubblicato in: No journal title, 2023
Editore: Cognitive Computational Neuroscience
DOI: 10.32470/ccn.2023.1088-0

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

Autori: Agnessa Karapetian; Antoniya Boyanova; Muthukumar Pandaram; Klaus Obermayer; Tim C. Kietzmann; Radoslaw M. Cichy
Pubblicato in: Journal of Vision, Numero 23, 2023
Editore: 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

Autori: Daniel Anthes, Sushrut Thorat, Peter König, Tim C Kietzmann
Pubblicato in: 2024
Editore: Cognitive Computational Neuroscience

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

Autori: Lotta Piefke, Adrien Doerig, Tim Kietzmann, Sushrut Thorat
Pubblicato in: No journal title, 2024
Editore: ArXiv
DOI: 10.48550/arXiv.2402.01056

Peer reviewed articles (4)

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

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

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

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

The neuroconnectionist research programme

Autori: 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
Pubblicato in: Nature Reviews Neuroscience, 2023, ISSN 1471-0048
Editore: Springer Nature
DOI: 10.48550/arxiv.2209.03718

PLoS Biology

Autori: David Richter; Tim C. Kietzmann; Floris P. de Lange
Pubblicato in: PLOS Biology, 2024, ISSN 1544-9173
Editore: PLOS
DOI: 10.1371/journal.pbio.3002829

Other (3)

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

Autori: Adrien Doerig, Tim C Kietzmann, Emily Allen, Yihan Wu, Thomas Naselaris, Kendrick Kay, Ian Charest
Pubblicato in: arxiv preprint, 2024
Editore: 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

Autori: Lu, Zejin; Doerig, Adrien; Bosch, Victoria; Krahmer, Bas; Kaiser, Daniel; Cichy, Radoslaw M; Kietzmann, Tim C
Pubblicato in: 2023
Editore: arxiv
DOI: 10.48550/arxiv.2308.09431

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

Autori: Carmen Amme, Philip Sulewski, Eelke Spaak, Martin N. Hebart, Peter König, Tim C. Kietzmann
Pubblicato in: 2024
Editore: biorxiv; Cold Spring Harbor Laboratory
DOI: 10.1101/2024.10.25.620167