The DiCarlo Lab at MIT

Publications

2025
Morgan B Talbot
Kreiman, Gabriel
DiCarlo, James J.
Gaziv, Guy
L-WISE: Boosting Human Image Category Learning Through Model-Based Image Selection And Enhancement

The Thirteenth International Conference on Learning Representations

https://iclr.cc/virtual/2025/poster/30613

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Abstract: L-WISE: Boosting Human Image Category Learning Through Model-Based Image Selection And Enhancement

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2025
Xie, Yudi
Weichen Huang
Alter, Esther
Schwartz, Jeremy
Tenenbaum, Joshua B.
DiCarlo, James J.
Vision CNNs trained to estimate spatial latents learned similar ventral-stream-aligned representations

The Thirteenth International Conference on Learning Representations

https://openreview.net/forum?id=emMMa4q0qw

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Abstract: Vision CNNs trained to estimate spatial latents learned similar ventral-stream-aligned representations

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2024
Benjamin Peters
James J. DiCarlo
Todd Gureckis
Ralf Haefner
Leyla Isik
Joshua Tenenbaum
Talia Konkle
Thomas Naselaris
Kimberly Stachenfeld
Zenna Tavares
Doris Tsao
Ilker Yildirim
Nikolaus Kriegeskorte
How does the primate brain combine generative and discriminative computations in vision?

https://arxiv.org/pdf/2401.06005.pdf

Google Scholar
Abstract: How does the primate brain combine generative and discriminative computations in vision?

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2024
Xie, Yudi
Alter, Esther
Schwartz, Jeremy
DiCarlo, James J.
Learning only a handful of latent variables produces neural-aligned CNN models of the ventral stream

Computational and Systems Neuroscience (COSYNE)

https://hdl.handle.net/1721.1/153744

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Abstract: Learning only a handful of latent variables produces neural-aligned CNN models of the ventral stream

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2024
DiCarlo, James
Bashivan, Pouya
Kar, Kohitij
Software and Methods for Controlling Neural Responses in Deep Brain Regions

https://patents.google.com/patent/US20240082534A1/en

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Abstract: Software and Methods for Controlling Neural Responses in Deep Brain Regions

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2024
Margalit, Eshed
Lee, Hyodong
Finzi, Dawn
DiCarlo, James J.
Grill-Spector, Kalanit
Yamins, Daniel L K
A unifying framework for functional organization in early and higher ventral visual cortex

Neuron

https://linkinghub.elsevier.com/retrieve/pii/S0896627324002794

Google Scholar
Abstract: A unifying framework for functional organization in early and higher ventral visual cortex
2024
Ferguson, Michael E.
Jerry Ngo
Lee, Michael J.
James J. DiCarlo
Martin Schrimpf
How Well is Visual Search Asymmetry predicted by a Binary-Choice, Rapid, Accuracy-based Visual-search, Oddball-detection (BRAVO) task?.

Google Scholar
Abstract: How Well is Visual Search Asymmetry predicted by a Binary-Choice, Rapid, Accuracy-based Visual-search, Oddball-detection (BRAVO) task?.
2024
Sörensen, Lynn K.A.
DiCarlo, James J.
Kar, Kohitij
The effects of object category training on the responses of macaque inferior temporal cortex are consistent with performance-optimizing updates within a visual hierarchy

BioRxiv

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Abstract: The effects of object category training on the responses of macaque inferior temporal cortex are consistent with performance-optimizing updates within a visual hierarchy

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2024
Sörensen, Lynn K.A.
DiCarlo, James J.
Kar, Kohitij
Gradient-based updates in hierarchical sensory models mimic category learning effects in macaque IT.

Cognitive Systems Neuroscience Annual Meeting

Abstract: Gradient-based updates in hierarchical sensory models mimic category learning effects in macaque IT.
2023
Lee, Michael J.
DiCarlo, James J.
An empirical assay of view-invariant object learning in humans and comparison with baseline image-computable models

bioRxiv

https://www.biorxiv.org/content/biorxiv/early/2023/01/02/2022.12.31.522402.full.pdf

Google Scholar
Abstract: An empirical assay of view-invariant object learning in humans and comparison with baseline image-computable models
2023
Zador, Anthony
Escola, Sean
Richards, Blake
Ölveczky, Bence
Bengio, Yoshua
Boahen, Kwabena
Botvinick, Matthew
Chklovskii, Dmitri
Churchland, Anne
Clopath, Claudia
DiCarlo, James
Ganguli, Surya
Hawkins, Jeff
örding, Konrad
Koulakov, Alexei
LeCun, Yann
Lillicrap, Timothy
Marblestone, Adam
Olshausen, Bruno
Pouget, Alexandre
Savin, Cristina
Sejnowski, Terrence
Simoncelli, Eero
Solla, Sara
Sussillo, David
Tolias, Andreas S.
Tsao, Doris
Catalyzing next-generation Artificial Intelligence through NeuroAI

Nature Communications

https://www.nature.com/articles/s41467-023-37180-xhttps://www.nature.com/articles/s41467-023-37180-x.pdfhttps://www.nature.com/articles/s41467-023-37180-x.pdfhttps://www.nature.com/articles/s41467-023-37180-x

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Abstract: Catalyzing next-generation Artificial Intelligence through NeuroAI

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2023
Gaziv, Guy
Lee, Michael J.
DiCarlo, James J.
Robustified ANNs Reveal Wormholes Between Human Category Percepts

arXiv

https://arxiv.org/pdf/2308.06887.pdf

Google Scholar
Abstract: Robustified ANNs Reveal Wormholes Between Human Category Percepts

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2023
Margalit, Eshed
Lee, Hyodong
Finzi, Dawn
DiCarlo, James J.
Grill-Spector, Kalanit
Yamins, Daniel LK
A Unifying Principle for the Functional Organization of Visual Cortex

bioRxiv

https://www.biorxiv.org/content/10.1101/2023.05.18.541361v1.full.pdf

Google Scholar
Abstract: A Unifying Principle for the Functional Organization of Visual Cortex

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2023
Mieczkowski, Elizabeth
Abate, Alex
De Faria, Willian
Lydic, Kirsten
DiCarlo, James
Kanwisher, Nancy
Apurva Ratan Murty, N.
fROI-level computational models enable broad-scale experimental testing and expose key divergences between models and brains

Journal of Vision

https://doi.org/10.1167/jov.23.9.5788

Google Scholar
Abstract: fROI-level computational models enable broad-scale experimental testing and expose key divergences between models and brains
2023
Gaziv, Guy
Lee, Michael J.
DiCarlo, James J.
Strong and Precise Modulation of Human Percepts via Robustified ANNs

Neural Information Processing Systems

https://openreview.net/pdf?id=5GmTI4LNqX

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Abstract: Strong and Precise Modulation of Human Percepts via Robustified ANNs

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2023
DiCarlo, James J.
Yamins, Daniel L K
Ferguson, Michael E.
Fedorenko, Evelina
Bethge, Matthias
Bonnen, Tyler
Schrimpf, Martin
Let’s move forward: Image-computable models and a common model evaluation scheme are prerequisites for a scientific understanding of human visionAbstract

Behavioral and Brain Sciences

https://www.cambridge.org/core/product/identifier/S0140525X23001607/type/journal_article

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Abstract: Let’s move forward: Image-computable models and a common model evaluation scheme are prerequisites for a scientific understanding of human visionAbstract

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2023
Kohitij Kar
James J. DiCarlo
The Quest for an Integrated Set of Neural Mechanisms Underlying Object Recognition in Primates

arXiv

https://arxiv.org/pdf/2312.05956.pdf

Google Scholar
Abstract: The Quest for an Integrated Set of Neural Mechanisms Underlying Object Recognition in Primates

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2023
Michael Kuoch
Chi-Ning Chou
Nikhil Parthasarathy
Joel Dapello
James J. DiCarlo
Haim Sompolinsky
Sueyeon Chung
Probing Biological and Artificial Neural Networks with Task-dependent Neural Manifolds

Conference on Parsimony and Learning (Proceedings Track)

https://openreview.net/forum?id=MxBS6aw5Gd

Google Scholar
Abstract: Probing Biological and Artificial Neural Networks with Task-dependent Neural Manifolds

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2023
Lee, Michael J.
DiCarlo, James J.
How well do rudimentary plasticity rules predict adult visual object learning?

PLOS Computational Biology

https://dx.plos.org/10.1371/journal.pcbi.1011713

Google Scholar
Abstract: How well do rudimentary plasticity rules predict adult visual object learning?

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2023
Sörensen, Lynn K.A.
DiCarlo, J. J.
Kar, Kohitij
Probing the effects of object category learning on the macaque inferior temporal cortex

Society for Neuroscience Annual Meeting

https://www.abstractsonline.com/pp8/#!/10892/presentation/38674

Abstract: Probing the effects of object category learning on the macaque inferior temporal cortex