Explaining object permanence with a deep recurrent neural network model of human cortical visual cognition

Project Information

OBJECTPERMOD

Grant agreement ID: 841578

DOI 10.3030/841578

Project closed

EC signature date 12 April 2019

Start date 1 September 2019

End date 17 October 2023

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost € 271 732,80

EU contribution € 271 732,80

Coordinated by

UNIVERSITY OF GLASGOW
United Kingdom

Publications

Peer reviewed articles (3)

Can neural networks benefit from objectives that encourage iterative convergent computations? A case study of ResNets and object classification

Author(s): Lippl, S., Peters, B., & Kriegeskorte, N.
Published in: PLOS ONE, Issue 19(3), 2024, Page(s) e0293440, ISSN 1932-6203
Publisher: Public Library of Science
DOI: 10.1371/journal.pone.0293440

Capturing the objects of vision with neural networks

Author(s): Benjamin Peters, Nikolaus Kriegeskorte
Published in: Nature Human Behaviour, Issue 9(5), 2021, Page(s) 1127–1144, ISSN 2397-3374
Publisher: Nature Publishing Group
DOI: 10.1038/s41562-021-01194-6

Deep neural networks are not a single hypothesis but a language for expressing computational hypotheses

Author(s): Golan, T., Taylor, J., Schütt, H., Peters, B., Sommers, R. P., Seeliger, K., Doerig, A., Linton, P., Konkle, T., Gerven, M. van, Kording, K., Richards, B., Kietzmann, T. C., Lindsay, G. W., & Kriegeskorte, N.
Published in: Behavioral and Brain Sciences, Issue 46, 2023, Page(s) e392, ISSN 0140-525X
Publisher: Cambridge University Press
DOI: 10.1017/s0140525x23001553

Conference proceedings (3)

How do humans and machine learning models track multiple objects through occlusion?

Author(s): Peters, B., Butkus, E., & Kriegeskorte, N.
Published in: SVRHM 2022 Workshop @ Conference on Neural Information Processing Systems, 2022
Publisher: openreview

Human-like multiple object tracking through occlusion via gaze-following.

Author(s): Peters*, B., Butkus*, E., & Kriegeskorte, N.
Published in: NeuRIPS 2023 Workshop on Gaze Meets ML, 2023
Publisher: openreview

A neural network family for systematic analysis of RF size and computational-path-length distribution as determinants of neural predictivity and behavioral performance.

Author(s): Peters, B., Stoffl, L., & Kriegeskorte, N.
Published in: Journal of Vision, Issue 22(14), 2022, Page(s) 4287
Publisher: The Association for Research in Vision and Ophthalmology (ARVO)
DOI: 10.1167/jov.22.14.4287