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

Publications

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

Auteurs: Lippl, S., Peters, B., & Kriegeskorte, N.
Publié dans: PLOS ONE, Numéro 19(3), 2024, Page(s) e0293440, ISSN 1932-6203
Éditeur: Public Library of Science
DOI: 10.1371/journal.pone.0293440

Capturing the objects of vision with neural networks

Auteurs: Benjamin Peters, Nikolaus Kriegeskorte
Publié dans: Nature Human Behaviour, Numéro 9(5), 2021, Page(s) 1127–1144, ISSN 2397-3374
Éditeur: 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

Auteurs: 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.
Publié dans: Behavioral and Brain Sciences, Numéro 46, 2023, Page(s) e392, ISSN 0140-525X
Éditeur: Cambridge University Press
DOI: 10.1017/s0140525x23001553

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

Auteurs: Peters, B., Butkus, E., & Kriegeskorte, N.
Publié dans: SVRHM 2022 Workshop @ Conference on Neural Information Processing Systems, 2022
Éditeur: openreview

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

Auteurs: Peters*, B., Butkus*, E., & Kriegeskorte, N.
Publié dans: NeuRIPS 2023 Workshop on Gaze Meets ML, 2023
Éditeur: openreview

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

Auteurs: Peters, B., Stoffl, L., & Kriegeskorte, N.
Publié dans: Journal of Vision, Numéro 22(14), 2022, Page(s) 4287
Éditeur: The Association for Research in Vision and Ophthalmology (ARVO)
DOI: 10.1167/jov.22.14.4287

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