The DiCarlo Lab at MIT

Publications

2018
Kubilius, Jonas
Martin Schrimpf
Aran Nayebi
Daniel Bear
Daniel L. K. Yamins
DiCarlo, James J.
CORnet: Modeling the Neural Mechanisms of Core Object Recognition

bioRxiv

https://www.biorxiv.org/content/10.1101/408385v1.full.pdf

Google Scholar
Abstract: CORnet: Modeling the Neural Mechanisms of Core Object Recognition
2016
Aparicio, Paul L.
Issa, Elias B.
DiCarlo, James J.
Neurophysiological Organization of the Middle Face Patch in Macaque Inferior Temporal Cortex

The Journal of Neuroscience

https://www.jneurosci.org/content/jneuro/36/50/12729.full.pdf

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Abstract: Neurophysiological Organization of the Middle Face Patch in Macaque Inferior Temporal Cortex
2016
Yamins, Daniel LK
DiCarlo, James J.
Eight open questions in the computational modeling of higher sensory cortex

Current Opinion in Neurobiology

https://linkinghub.elsevier.com/retrieve/pii/S0959438816300022

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Abstract: Eight open questions in the computational modeling of higher sensory cortex
2016
Yamins, Daniel L K
DiCarlo, James J.
Using goal-driven deep learning models to understand sensory cortex

Nature Neuroscience

http://www.nature.com/articles/nn.4244.pdf

Google Scholar
Abstract: Using goal-driven deep learning models to understand sensory cortex
2016
Hong, Ha
Yamins, Daniel L K
Majaj, Najib J
DiCarlo, James J.
Explicit information for category-orthogonal object properties increases along the ventral stream

Nature Neuroscience

http://www.nature.com/articles/nn.4247

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Abstract: Explicit information for category-orthogonal object properties increases along the ventral stream
2015
Majaj, N. J.
Hong, H.
Solomon, E. A.
DiCarlo, J. J.
Simple Learned Weighted Sums of Inferior Temporal Neuronal Firing Rates Accurately Predict Human Core Object Recognition Performance

Journal of Neuroscience

http://www.jneurosci.org/cgi/doi/10.1523/JNEUROSCI.5181-14.2015

Google Scholar
Abstract: Simple Learned Weighted Sums of Inferior Temporal Neuronal Firing Rates Accurately Predict Human Core Object Recognition Performance
2015
Rajalingham, R.
Schmidt, K.
DiCarlo, J. J.
Comparison of Object Recognition Behavior in Human and Monkey

Journal of Neuroscience

http://www.jneurosci.org/cgi/doi/10.1523/JNEUROSCI.0573-15.2015

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Abstract: Comparison of Object Recognition Behavior in Human and Monkey
2015
Afraz, Arash
Boyden, Edward S.
DiCarlo, James J.
Optogenetic and pharmacological suppression of spatial clusters of face neurons reveal their causal role in face gender discrimination

Proceedings of the National Academy of Sciences

http://www.pnas.org/lookup/doi/10.1073/pnas.1423328112

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Abstract: Optogenetic and pharmacological suppression of spatial clusters of face neurons reveal their causal role in face gender discrimination
2014
Yamins, D. L. K.
Hong, H.
Cadieu, C. F.
Solomon, E. A.
Seibert, D.
DiCarlo, J. J.
Performance-optimized hierarchical models predict neural responses in higher visual cortex

Proceedings of the National Academy of Sciences

http://www.pnas.org/cgi/doi/10.1073/pnas.1403112111

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Abstract: Performance-optimized hierarchical models predict neural responses in higher visual cortex
2014
Cadieu, Charles F
Hong, Ha
Yamins, Daniel L K
Pinto, Nicolas
Ardila, Diego
Solomon, Ethan A.
Majaj, Najib J
DiCarlo, James J.
Bethge, Matthias
Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition

PLoS Computational Biology

https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1003963&type=printable

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Abstract: Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition
2014
Afraz, Arash
Yamins, Daniel L K
DiCarlo, James J.
Neural Mechanisms Underlying Visual Object Recognition

Cold Spring Harbor Symposia on Quantitative Biology

http://symposium.cshlp.org/content/79/99.full.pdf+html

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Abstract: Neural Mechanisms Underlying Visual Object Recognition
2013
Issa, E. B.
Papanastassiou, A. M.
DiCarlo, J. J.
Large-Scale, High-Resolution Neurophysiological Maps Underlying fMRI of Macaque Temporal Lobe

Journal of Neuroscience

http://www.jneurosci.org/cgi/doi/10.1523/JNEUROSCI.1248-13.2013

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Abstract: Large-Scale, High-Resolution Neurophysiological Maps Underlying fMRI of Macaque Temporal Lobe
2013
Baldassi, Carlo
Alemi-Neissi, Alireza
Pagan, Marino
DiCarlo, James J.
Zecchina, Riccardo
Zoccolan, Davide
Shape Similarity, Better than Semantic Membership, Accounts for the Structure of Visual Object Representations in a Population of Monkey Inferotemporal Neurons

PLoS Computational Biology

https://dx.plos.org/10.1371/journal.pcbi.1003167

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Abstract: Shape Similarity, Better than Semantic Membership, Accounts for the Structure of Visual Object Representations in a Population of Monkey Inferotemporal Neurons
2013
Cadieu, Charles F
Ha Hong
Daniel L. K. Yamins
Pinto, Nicolas
Majaj, Najib J
James J. DiCarlo
The Neural Representation Benchmark and its Evaluation on Brain and Machine

arXiv

https://arxiv.org/pdf/1301.3530.pdf

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Abstract: The Neural Representation Benchmark and its Evaluation on Brain and Machine
2013
Daniel L. K. Yamins
Ha Hong
Cadieu, Charles F
DiCarlo, James J.
Hierarchical Modular Optimization of Convolutional Networks Achieves Representations Similar to Macaque IT and Human Ventral Stream

Advances in Neural Information Processing Systems

https://papers.nips.cc/paper/4991-hierarchical-modular-optimization-of-convolutional-networks-achieves-representations-similar-to-macaque-it-and-human-ventral-stream.pdf

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Abstract: Hierarchical Modular Optimization of Convolutional Networks Achieves Representations Similar to Macaque IT and Human Ventral Stream
2012
Issa, E. B.
DiCarlo, J. J.
Precedence of the Eye Region in Neural Processing of Faces

Journal of Neuroscience

http://www.jneurosci.org/cgi/doi/10.1523/JNEUROSCI.2391-12.2012

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Abstract: Precedence of the Eye Region in Neural Processing of Faces
2012
Li, N.
DiCarlo, J. J.
Neuronal Learning of Invariant Object Representation in the Ventral Visual Stream Is Not Dependent on Reward

Journal of Neuroscience

http://www.jneurosci.org/cgi/doi/10.1523/JNEUROSCI.3786-11.2012

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Abstract: Neuronal Learning of Invariant Object Representation in the Ventral Visual Stream Is Not Dependent on Reward
2012
Rust, N. C.
DiCarlo, J. J.
Balanced Increases in Selectivity and Tolerance Produce Constant Sparseness along the Ventral Visual Stream

Journal of Neuroscience

http://www.jneurosci.org/content/32/30/10170.full.pdf+html

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Abstract: Balanced Increases in Selectivity and Tolerance Produce Constant Sparseness along the Ventral Visual Stream
2012
DiCarlo, J.
Zoccolan, Davide
Rust, C.
How Does the Brain Solve Visual Object Recognition?

Neuron

https://www.sciencedirect.com/science/article/pii/S089662731200092X

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Abstract: How Does the Brain Solve Visual Object Recognition?
2012
Majaj, Najib J
Hong, Ha
Solomon, EA
DiCarlo, James J.
A unified neuronal population code fully explains human object recognition.

Computation and Systems Neuroscience (COSYNE)

http://cosyne.org/cosyne12/Cosyne2012_program_book.pdf

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Abstract: A unified neuronal population code fully explains human object recognition.