publications

Papers & preprints

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9 publications

2026

Model-Guided Microstimulation Steers Primate Visual Behavior

Mehrer J, Lonnqvist B, Mitola A, Papale P, Schrimpf M

International Conference on Learning Representations

paper arxiv 
ICLR
2026

Diagnostic features predicted by deep learning improve human object recognition in simulated prosthetic vision

Scialom E, Lonnqvist B, Bornet A, Herzog MH

Journal of Neural Engineering

paper 
J. Neural Eng.
2025

Differences in Visual Perception in Humans and Deep Neural Networks

Lonnqvist B

PhD thesis, EPFL. Advised by M. H. Herzog and M. Schrimpf

paper 
PhD Thesis
2025

Contour Integration Underlies Human-Like Vision

Lonnqvist B, Scialom E, Gokce A, Merchant Z, Herzog MH, Schrimpf M

International Conference on Machine Learning (PMLR 267)

ICML
2024

Latent Noise Segmentation: How Neural Noise Leads to the Emergence of Segmentation and Grouping

Lonnqvist B*, Wu Z*, Herzog MH

International Conference on Machine Learning (PMLR 235)

ICML
2022

A comment on Guo et al. [arXiv:2206.11228]

Lonnqvist B, Machiraju H, Herzog MH

arXiv preprint

arxiv 
arXiv
2021

A comparative biology approach to DNN modeling of vision: A focus on differences, not similarities

Lonnqvist B, Bornet A, Doerig A, Herzog MH

Journal of Vision, 21(10):17

paper 
JOV
2020

Crowding in humans is unlike that in convolutional neural networks

Lonnqvist B, Clarke ADF, Chakravarthi R

Neural Networks

paper 
Neural Netw.
2020

Modeling individual variation in visual search with reinforcement learning

Lonnqvist B, Elsner M, Hunt AR, Clarke ADF

PsyArXiv preprint

paper 
PsyArXiv
  1. 2024 poster

    Current DNNs are unable to integrate visual information across object discontinuities

    Lonnqvist B, Scialom E, Merchant Z, Herzog MH, Schrimpf M · Cognitive Computational Neuroscience (CCN), Boston

  2. 2024 poster

    Psychophysics reveals a failure of grouping in current deep neural networks

    Scialom E*, Lonnqvist B*, Merchant Z, Schrimpf M, Herzog MH · European Conference on Visual Perception (ECVP)

  3. 2024 oral

    Perceptual grouping with latent noise

    Lonnqvist B, Wu Z, Herzog MH · Vision Sciences Society (VSS), main meeting and MODVIS workshop

  4. 2024 poster

    Categorical object properties outweigh local visual information in object recognition

    Scialom E, Merchant Z, Ernst UA, Rotermund D, Lonnqvist B, Herzog MH · Vision Sciences Society (VSS)

  5. 2024 invited

    Invited talk

    Scene Grammar Lab, Goethe Universität Frankfurt

  6. 2023 oral

    How object segmentation and perceptual grouping emerge in noisy variational autoencoders

    Lonnqvist B, Wu Z, Herzog MH · Vision Sciences Society (VSS), MODVIS workshop (oral) and main meeting (poster)

  7. 2023 invited

    Invited talk

    INCC, Université Paris Cité & CNRS Vision Group Symposium, Paris

  8. 2022 oral

    Global information processing in feedforward deep networks

    Lonnqvist B, Bornet A, Doerig A, Herzog MH · Vision Sciences Society (VSS)

  9. 2021 poster

    How crowding challenges (feedforward) convolutional neural networks

    Lonnqvist B, Doerig A, Bornet A, Francis G, Schmittwilken L, Herzog MH · Vision Sciences Society (VSS)

  10. 2019 oral

    Object recognition in deep convolutional neural networks is fundamentally different to that in humans

    Lonnqvist B, Clarke ADF, Chakravarthi R · Scottish Vision Group (SVG)

  11. 2019 invited

    Invited talk

    Psychology & Computer Science Research Groups, University of Essex