The DiCarlo Lab at MIT

Publications

2022
Geiger, Franziska
Schrimpf, Martin
Marques, Tiago
DiCarlo, James J.
Wiring Up Vision: Minimizing Supervised Synaptic Updates Needed to Produce a Primate Ventral Stream

International Conference on Learning Representations 2022 Spotlight

https://openreview.net/pdf?id=g1SzIRLQXMM

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Abstract: Wiring Up Vision: Minimizing Supervised Synaptic Updates Needed to Produce a Primate Ventral Stream

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2022
Guo, Chong
Lee, Michael J.
Leclerc, Guillaume
Dapello, Joel
Rao, Yug
Madry, Aleksander
DiCarlo, James J.
Adversarially trained neural representations may already be as robust as corresponding biological neural representations

arXiv

https://arxiv.org/abs/2206.11228v1

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Abstract: Adversarially trained neural representations may already be as robust as corresponding biological neural representations

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2022
Dapello, Joel
Kar, Kohitij
Schrimpf, Martin
Geary, Robert
Ferguson, Michael
Cox, David D.
DiCarlo, James J.
Aligning Model and Macaque Inferior Temporal Cortex Representations Improves Model-to-Human Behavioral Alignment and Adversarial Robustness

bioRxiv

https://www.biorxiv.org/content/10.1101/2022.07.01.498495v1.full.pdf

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Abstract: Aligning Model and Macaque Inferior Temporal Cortex Representations Improves Model-to-Human Behavioral Alignment and Adversarial Robustness
2022
Bagus, Ayu Marliawaty I Gusti
Marques, Tiago
Sanghavi, Sachi
DiCarlo, James J.
Schrimpf, Martin
Primate Inferotemporal Cortex Neurons Generalize Better to Novel Image Distributions Than Analogous Deep Neural Networks Units

SVHRM Workshop at Neural Information Processing Systems (NeurIPS)

https://openreview.net/pdf?id=iPF7mhoWkOl

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Abstract: Primate Inferotemporal Cortex Neurons Generalize Better to Novel Image Distributions Than Analogous Deep Neural Networks Units

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2021
Kar, Kohitij
DiCarlo, James J.
Fast Recurrent Processing Via Ventral Prefrontal Cortex is Needed by the Primate Ventral Stream for Robust Core Visual Object Recognition

Neuron

https://www.cell.com/neuron/pdf/S0896-6273(20)30759-5.pdf

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Abstract: Fast Recurrent Processing Via Ventral Prefrontal Cortex is Needed by the Primate Ventral Stream for Robust Core Visual Object Recognition

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2021
Tiago Marques
Martin Schrimpf
James J. DiCarlo
Multi-scale hierarchical neural network models that bridge from single neurons in the primate primary visual cortex to object recognition behavior

bioRxiv

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Abstract: Multi-scale hierarchical neural network models that bridge from single neurons in the primate primary visual cortex to object recognition behavior

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2021
Gan, Chuang
Zhou, Siyuan
Schwartz, Jeremy
Alter, Seth
Bhandwaldar, Abhishek
Gutfreund, Dan
Yamins, Daniel LK
DiCarlo, James J.
McDermott, Josh
Torralba, Antonio
The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark for Physically Realistic Embodied AI

arXiv

https://arxiv.org/abs/2103.14025

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Abstract: The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark for Physically Realistic Embodied AI

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2021
Jia, Xiaoxuan
Hong, Ha
DiCarlo, James J.
Unsupervised changes in core object recognition behavior are predicted by neural plasticity in inferior temporal cortex

eLife

https://elifesciences.org/articles/60830https://cdn.elifesciences.org/articles/60830/elife-60830-v2.pdfhttps://cdn.elifesciences.org/articles/60830/elife-60830-v2.xml

Google Scholar
Abstract: Unsupervised changes in core object recognition behavior are predicted by neural plasticity in inferior temporal cortex

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2021
Murty, NAR
Bashivan, Pouya
Abate, Alex
DiCarlo, James J.
Kanwisher, Nancy
Computational models of category-selective brain regions enable high-throughput tests of selectivity

Nature Communications

https://www.nature.com/articles/s41467-021-25409-6

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Abstract: Computational models of category-selective brain regions enable high-throughput tests of selectivity

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2021
DiCarlo, James J.
Rajalingham, Rishi
Afraz, Arash
Sorenson, Michael
Azadi, Reza
Bohn, Simon
Chronically implantable LED arrays for behavioral optogenetics in primates

Nature Methods

https://www.nature.com/articles/s41592-021-01238-9

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Abstract: Chronically implantable LED arrays for behavioral optogenetics in primates

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2021
Baidya, Avinash
Dapello, Joel
DiCarlo, James J.
Marques, Tiago
Combining Different V1 Brain Model Variants to Improve Robustness to Image Corruptions in CNNs

Shared Visual Representations in Human & Machine Intelligence – NeurIPS Workshop

https://arxiv.org/abs/2110.10645

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Abstract: Combining Different V1 Brain Model Variants to Improve Robustness to Image Corruptions in CNNs

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2021
Schrimpf, Martin
Mc Grath, Paul
DiCarlo, J. J.
Topographic ANNs Predict the Behavioral Effects of Causal Perturbations in Primate Visual Ventral Stream IT

Champalimaud Research Symposium (CRS21)

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Abstract: Topographic ANNs Predict the Behavioral Effects of Causal Perturbations in Primate Visual Ventral Stream IT

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2021
Kar, Kohitij
Schrimpf, Martin
Schmidt, Kailyn
DiCarlo, JJ
Chemogenetic suppression of macaque V4 neurons produces retinotopically specific deficits in downstream IT neural activity patterns and core object recognition behavior

Journal of Vision

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Abstract: Chemogenetic suppression of macaque V4 neurons produces retinotopically specific deficits in downstream IT neural activity patterns and core object recognition behavior
2021
DiCarlo, James J.
Yamins, Daniel L K
Schrimpf, Martin
Zhuang, Chengxu
Yan, Siming
Nayebi, Aran
Frank, Michael C.
Unsupervised neural network models of the ventral visual stream

Proceedings of the National Academy of Sciences

http://www.pnas.org/lookup/doi/10.1073/pnas.2014196118

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Abstract: Unsupervised neural network models of the ventral visual stream

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2021
Joel Dapello
Jenelle Feather
Tiago Marques
David Cox
Josh McDermott
James J. DiCarlo
Sueyeon Chung
Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception

Neural Information Processing Systems (NeurIPS)

https://proceedings.neurips.cc/paper/2021/file/8383f931b0cefcc631f070480ef340e1-Paper.pdf

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Abstract: Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception

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2020
Hyodong Lee
Eshed Margalit
Kamila M. Jozwik
Michael A. Cohen
Nancy Kanwisher
Daniel L. K. Yamins
James J. DiCarlo
Topographic deep artificial neural networks reproduce the hallmarks of the primate inferior temporal cortex face processing network

bioRxiv

https://www.biorxiv.org/content/10.1101/2020.07.09.185116v1.full.pdf

Google Scholar
Abstract: Topographic deep artificial neural networks reproduce the hallmarks of the primate inferior temporal cortex face processing network
2020
Kar, Kohitij
DiCarlo, James J.
Fast recurrent processing via ventral prefrontal cortex is needed by the primate ventral stream for robust core visual object recognition

BioRxiv

https://www.biorxiv.org/content/10.1101/2020.05.10.086959v1

Google Scholar
Abstract: Fast recurrent processing via ventral prefrontal cortex is needed by the primate ventral stream for robust core visual object recognition
2020
Xiaoxuan Jia
Ha Hong
James J. DiCarlo
Unsupervised changes in core object recognition behavioral performance are accurately predicted by unsupervised neural plasticity in inferior temporal cortex

BioRxiv

https://www.biorxiv.org/content/10.1101/2020.01.13.900837v2.full.pdf

Google Scholar
Abstract: Unsupervised changes in core object recognition behavioral performance are accurately predicted by unsupervised neural plasticity in inferior temporal cortex
2020
Rajalingham, Rishi
Kar, Kohitij
Sanghavi, Sachi
Dehaene, Stanislas
DiCarlo, James J.
The inferior temporal cortex is a potential cortical precursor of orthographic processing in untrained monkeys

Nature Communications

http://www.nature.com/articles/s41467-020-17714-3

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Abstract: The inferior temporal cortex is a potential cortical precursor of orthographic processing in untrained monkeys
2020
Schrimpf, Martin
Kubilius, Jonas
Lee, Michael J.
Murty, NAR
Ajemian, Robert
DiCarlo, James J.
Integrative Benchmarking to Advance Neurally Mechanistic Models of Human Intelligence

Neuron

https://linkinghub.elsevier.com/retrieve/pii/S089662732030605X

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Abstract: Integrative Benchmarking to Advance Neurally Mechanistic Models of Human Intelligence

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