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Doris Y. Tsao

Howard Hughes Medical Institute · US
Area of research
Cognitive Neuroscience · Computer Vision and Pattern Recognition
Research interest
Research interests include Face Recognition and Perception, Neural dynamics and brain function, Visual perception and processing mechanisms, and Visual Attention and Saliency Detection.
h-index
44
citations
12,045
works
115
NIH funding
primary concept
email

Recent publications

Rapid concerted switching of the neural code in the inferotemporal cortex
Nature 2026cited by 2position: lastdoi
Large-scale high-density brain-wide neural recording in nonhuman primates
Nature Neuroscience 2025cited by 32position: middledoi
A compressed hierarchy for visual form processing in the tree shrew
Nature 2025cited by 6position: lastdoi
A circuit that integrates drive state and social contact to gate mating
Nature 2025cited by 5position: middledoi
Science must break its silence to rebuild public trust
Nature Neuroscience 2025cited by 1position: middledoi
Temporal multiplexing of perception and memory codes in IT cortex
Nature 2024cited by 29position: lastdoi
The BRAIN Initiative: a pioneering program on the precipice
Nature Neuroscience 2024cited by 10position: middledoi
Catalyzing next-generation Artificial Intelligence through NeuroAI
Nature Communications 2023cited by 276position: lastdoi
Effects of focused ultrasound in a “clean” mouse model of ultrasonic neuromodulation
iScience 2023cited by 23position: middledoi
Mice and primates use distinct strategies for visual segmentation
eLife 2023cited by 22position: lastdoi
Microscale visualization of cellular features in adult macaque visual cortex
bioRxiv (Cold Spring Harbor Laboratory) 2023cited by 1position: middledoi
On the principles of Parsimony and Self-consistency for the emergence of intelligence
Frontiers of Information Technology & Electronic Engineering 2022cited by 44position: middledoi
The application of artificial intelligence to biology and neuroscience
Cell 2022cited by 42position: middledoi
A topological solution to object segmentation and tracking
Proceedings of the National Academy of Sciences 2022cited by 21position: lastdoi
Unsupervised deep learning identifies semantic disentanglement in single inferotemporal face patch neurons
Nature Communications 2021cited by 155position: middledoi
Combining brain perturbation and neuroimaging in non-human primates
NeuroImage 2021cited by 89position: middledoi
Explaining face representation in the primate brain using different computational models
Current Biology 2021cited by 50position: lastdoi
A map of object space in primate inferotemporal cortex
Nature 2020cited by 423position: lastdoi
The macaque face patch system: a turtle’s underbelly for the brain
Nature reviews. Neuroscience 2020cited by 143position: lastdoi
A new no-report paradigm reveals that face cells encode both consciously perceived and suppressed stimuli
eLife 2020cited by 89position: lastdoi
Computational neuroscience: a frontier of the 21st century
National Science Review 2020cited by 22position: middledoi
Neural Networks with Recurrent Generative Feedback
CaltechAUTHORS (California Institute of Technology) 2020cited by 7position: middle
Combining Brain Perturbation and Neuroimaging in Non-human Primates
2020cited by 7position: middledoi
Ultrasonic Neuromodulation Causes Widespread Cortical Activation via an Indirect Auditory Mechanism
Neuron 2018cited by 335position: lastdoi
An Open Resource for Non-human Primate Imaging
Neuron 2018cited by 278position: middledoi
Representation of multiple objects in macaque category-selective areas
Nature Communications 2018cited by 63position: lastdoi
The Code for Facial Identity in the Primate Brain
Cell 2017cited by 693position: lastdoi
The effect of face patch microstimulation on perception of faces and objects
Nature Neuroscience 2017cited by 137position: lastdoi
The representation of colored objects in macaque color patches
Nature Communications 2017cited by 70position: lastdoi
How thoughts arise from sights: inferotemporal and prefrontal contributions to vision
Current Opinion in Neurobiology 2017cited by 25position: lastdoi

Grants

No grants ingested yet.

Frequent collaborators

Le Chang · Nanjing University6 papers (2017–2021)Janis K. Hesse · University of California, Berkeley5 papers (2016–2026)Pinglei Bao · McGovern Institute for Brain Research4 papers (2017–2020)Frank F. Lanfranchi · California Institute of Technology3 papers (2023–2026) · 2 papers (2020–2021)Michael Ortiz-Rios · Georgetown University2 papers (2020–2021)Vincent P. Ferrera · Columbia University2 papers (2020–2021)Christopher I. Petkov · University of Iowa2 papers (2020–2021)Richard J. Krauzlis · Salk Institute for Biological Studies2 papers (2020–2021) · 2 papers (2020–2021)Mikhail G. Shapiro · California Institute of Technology2 papers (2018–2023) · 2 papers (2020–2021)Jérôme Sallet · Université Claude Bernard Lyon 12 papers (2020–2021)Michael C. Schmid · University of Fribourg2 papers (2020–2021)P. Christiaan Klink · Utrecht University2 papers (2020–2021)Anna Wang Roe · Nathan Kline Institute for Psychiatric Research2 papers (2020–2021)Béchir Jarraya · KU Leuven2 papers (2020–2021)Melanie Wilke · California Institute of Technology2 papers (2020–2021)Ziv M. Williams · Allen Institute for Brain Science2 papers (2024–2025)Joseph B. Wekselblatt · California Institute of Technology2 papers (2023–2025)