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publications
Recurrent neural networks can explain flexible trading of speed and accuracy in biological vision
Published in PLOS Computational Biology, 2020
Recommended citation: Spoerer, Kietzmann, Mehrer, Charest, Kriegeskorte. (2020). "Recurrent neural networks can explain flexible trading of speed and accuracy in biological vision." PLOS Computational Biology.
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Individual differences among deep neural network models
Published in Nature Communications, 2020
Recommended citation: Mehrer, Spoerer, Jones, Kriegeskorte, Kietzmann. (2020). "Individual differences among deep neural network models." Nature Communications.
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Diverse deep neural networks all predict human IT well, after training and fitting
Published in Journal of Cognitive Neuroscience, 2021
Recommended citation: Storrs, Kietzmann, Walther, Mehrer, Kriegeskorte. (2021). "Diverse deep neural networks all predict human IT well, after training and fitting." Journal of Cognitive Neuroscience.
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Ecoset: an ecologically more valid visual diet for deep learning yields better models of human high-level visual cortex
Published in Proceedings of the National Academy of Sciences (PNAS), 2021
Recommended citation: Mehrer, Spoerer, Jones, Kriegeskorte, Kietzmann. (2021). "Ecoset: an ecologically more valid visual diet for deep learning yields better models of human high-level visual cortex." PNAS.
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Dreaming out loud: A self-synthesis approach for training vision-language models with developmentally plausible data
Published in BabyLM Challenge at Conference on Computational Natural Language Learning (CoNLL), 2024
Recommended citation: AlKhamissi, Tang, Gokce, Mehrer*, Schrimpf* (*shared last authorship). (2024). "Dreaming out loud: A self-synthesis approach for training vision-language models with developmentally plausible data." CoNLL 2024.
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TopoLM: brain-like spatio-functional organization in a topographic language model
Published in International Conference on Learning Representations (ICLR) — Top 2% Oral, 2025
Recommended citation: Rathi*, Mehrer*, AlKhamissi, Binhuraib, Blauch, Schrimpf (*shared first authorship). (2025). "TopoLM: brain-like spatio-functional organization in a topographic language model." ICLR 2025.
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Discovering functionally selective brain regions with deep topographic multimodal models
Published in Cognitive Computational Neuroscience (CCN) Conference (preprint), 2026
Recommended citation: Al-Khamissi*, Mehrer*, Marinov, Abdelaal, Gokce, Schrimpf (*shared first authorship). (2026). "Discovering functionally selective brain regions with deep topographic multimodal models." CCN 2026.
Inducing dyslexia in vision language models
Published in International Conference on Learning Representations (ICLR), 2026
Recommended citation: Honarmand, Sharma, Al-Khamissi, Mehrer*, Schrimpf* (*shared last authorship). (2026). "Inducing dyslexia in vision language models." ICLR 2026.
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Model-guided microstimulation steers primate visual behavior
Published in International Conference on Learning Representations (ICLR), 2026
Recommended citation: Mehrer, Lönnqvist, Mitola, Gökce, Papale, Schrimpf. (2026). "Model-guided microstimulation steers primate visual behavior." ICLR 2026.
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talks
teaching
Psychological and Behavioral Science Tripos (PBS4)
Teaching Assistant, University of Cambridge, 2016
Teaching assistant for undergraduate students across 6 trimesters (2016–2018) in the Psychological and Behavioral Science Tripos (PBS4) at Cambridge University.
Brain-like Computation and Intelligence: Model-Guided Causal Interventions
Guest Lecture, EPFL, NX-414, 2026
Guest lecture in the graduate-level course Brain-like Computation and Intelligence (EPFL NX-414).