Scholar
Francisco Pereira
Google Scholar ID: HpbSzssAAAAJ
Machine Learning Core, National Institute of Mental Health
Machine Learning
Brain Imaging
Cognitive Neuroscience
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Citations & Impact
All-time
Citations
3,081
H-index
25
i10-index
35
Publications
20
Co-authors
184
list available
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Publications
2 items
Revealing the core dimensions underlying representations in brains, behavior and AI
2026
Cited
0
Characterizing Universal Object Representations Across Vision Models
2026
Cited
0
Resume
Academic Achievements
Published multiple academic papers, including:
“Persistent representation of a prior schema in the orbitofrontal cortex facilitates learning of a conflicting schema”
“Nonparametric causal inference for optogenetics: sequential excursion effects for dynamic regimes”
“Detecting Cry in Daylong Audio Recordings using Machine Learning: The Development and Evaluation of Binary Classifiers”
“The encoding of interoceptive-based predictions by the paraventricular nucleus of the thalamus D2+ neurons”
“In-Scanner Thoughts shape Resting-state Functional Connectivity: how participants ‘rest’ matters”
Developed software packages such as fastFGEE.
Co-authors
6 total
Matthew Botvinick
Google DeepMind, Yale Law School, University College London
Tom Mitchell
Founders University Professor of Machine Learning, Carnegie Mellon University
Evelina (Ev) Fedorenko
MIT, Associate Professor
Patrick McClure
Machine Learning Team, National Institute of Mental Health
Martin N. Hebart
Justus Liebig University Giessen / Max Planck CBS Leipzig, Germany
Samuel Gershman
Professor, Harvard University