Scholar
Francisco Pereira
Google Scholar ID: HpbSzssAAAAJ
Machine Learning Core, National Institute of Mental Health
Machine Learning
Brain Imaging
Cognitive Neuroscience
Follow
Homepage
↗
Google Scholar
↗
Citations & Impact
All-time
Citations
3,081
H-index
25
i10-index
35
Publications
20
Co-authors
184
list available
Contact
Twitter
Open ↗
GitHub
Open ↗
LinkedIn
Open ↗
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
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
184 total
Matthew Botvinick
Google DeepMind, Yale Law School, University College London
Tom Mitchell
Founders University Professor of Machine Learning, Carnegie Mellon University
Co-author 3
Co-author 4
Co-author 5
Co-author 6
Co-author 7
Evelina (Ev) Fedorenko
MIT, Associate Professor
×
Welcome back
Sign in to Agora
Welcome back! Please sign in to continue.
Email address
Password
Forgot password?
Continue
Do not have an account?
Sign up