World's Best Scientists 2026 revealed!
Matthew Botvinick

Matthew Botvinick

D-Index & Metrics

Neuroscience

D-Index
90
Citations
74648
World Ranking
1088
National Ranking
565

Overview

Matthew Botvinick is affiliated with DeepMind in the United Kingdom. Their research spans multiple fields, primarily focusing on the intersection of computer science and neuroscience.

Botvinick has a significant number of publications in prominent venues, including:

  • arXiv (Cornell University) - 26 publications
  • bioRxiv (Cold Spring Harbor Laboratory) - 8 publications
  • Nature Human Behaviour - 7 publications
  • Nature - 4 publications
  • Nature Communications - 3 publications

Their main fields of study include:

  • Computer Science (62 publications)
  • Neuroscience (43 publications)

Key subfields explored by Botvinick involve:

  • Artificial Intelligence (44 publications)
  • Cognitive Neuroscience (38 publications)
  • Computer Vision and Pattern Recognition (15 publications)
  • Molecular Biology (11 publications)
  • Safety Research (8 publications)

Research topics covered by Botvinick include:

  • Neural dynamics and brain function (30 publications)
  • Neural and Behavioral Psychology Studies (16 publications)
  • Reinforcement Learning in Robotics (16 publications)
  • Memory and Neural Mechanisms (14 publications)
  • Machine Learning and Data Classification (14 publications)
  • Explainable Artificial Intelligence (XAI) (12 publications)
  • Topic Modeling (12 publications)

Recent notable papers authored or co-authored by Botvinick are:

  • Understanding the Impact of Value Selection Heuristics in Scheduling Problems, 2025, arXiv (Cornell University)
  • A distributional code for value in dopamine-based reinforcement learning, 2020, Nature
  • Catalyzing next-generation Artificial Intelligence through NeuroAI, 2023, Nature Communications
  • Unsupervised deep learning identifies semantic disentanglement in single inferotemporal face patch neurons, 2021, Nature Communications
  • Fine-tuning language models to find agreement among humans with diverse preferences, 2022, arXiv (Cornell University)

Frequent collaborators include:

  • Christopher Summerfield (13 co-authored works)
  • Raphaël Koster (9 co-authored works)
  • Andrea Tacchetti (8 co-authored works)
  • Zeb Kurth-Nelson (8 co-authored works)
  • Jan Balaguer (8 co-authored works)

Best Publications

  • Conflict monitoring and cognitive control.

    Matthew M. Botvinick;Todd S. Braver;Deanna M. Barch;Cameron S. Carter

  • Rubber hands ‘feel’ touch that eyes see

    Matthew Botvinick;Jonathan Cohen

  • Conflict monitoring and anterior cingulate cortex: an update

    Matthew M. Botvinick;Jonathan D. Cohen;Cameron S. Carter

  • Anterior cingulate cortex, error detection, and the online monitoring of performance

    Cameron S. Carter;Cameron S. Carter;Todd S. Braver;Todd S. Braver;M Deanna;M Deanna;Matthew M. Botvinick;Matthew M. Botvinick

  • beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework

    Irina Higgins;Loic Matthey;Arka Pal;Christopher Burgess

  • Conflict monitoring versus selection-for-action in anterior cingulate cortex

    Matthew Botvinick;Leigh E. Nystrom;Kate Fissell;Cameron S. Carter

  • The Expected Value of Control: An Integrative Theory of Anterior Cingulate Cortex Function

    Amitai Shenhav;Matthew M. Botvinick;Jonathan D. Cohen

  • The neural basis of error detection: conflict monitoring and the error-related negativity.

    Nick Yeung;Matthew M. Botvinick;Jonathan D. Cohen

  • Machine learning classifiers and fMRI: a tutorial overview

    Francisco Pereira;Tom M. Mitchell;Matthew Botvinick

  • Neuroscience-Inspired Artificial Intelligence.

    Demis Hassabis;Dharshan Kumaran;Christopher Summerfield;Matthew Botvinick

  • Meta-learning with memory-augmented neural networks

    Adam Santoro;Sergey Bartunov;Matthew Botvinick;Daan Wierstra

  • Conflict monitoring and decision making: reconciling two perspectives on anterior cingulate function.

    Matthew M. Botvinick

  • Parsing executive processes: strategic vs. evaluative functions of the anterior cingulate cortex.

    Cameron S. Carter;Angus M. Macdonald;Matthew Botvinick;Laura L. Ross

  • Decision making and the avoidance of cognitive demand.

    Wouter Kool;Joseph T. McGuire;Zev B. Rosen;Matthew M. Botvinick

  • Toward a Rational and Mechanistic Account of Mental Effort.

    Amitai Shenhav;Sebastian Musslick;Falk Lieder;Wouter Kool

  • Motivation and Cognitive Control: From Behavior to Neural Mechanism

    Matthew Botvinick;Todd Braver

  • The hippocampus as a predictive map

    Kimberly L Stachenfeld;Matthew M Botvinick;Samuel J Gershman

  • Anterior cingulate cortex, conflict monitoring, and levels of processing.

    Vincent van Veen;Jonathan D. Cohen;Jonathan D. Cohen;Matthew M. Botvinick;Matthew M. Botvinick;V.Andrew Stenger

  • Viewing facial expressions of pain engages cortical areas involved in the direct experience of pain.

    Matthew Botvinick;Amishi P. Jha;Lauren M. Bylsma;Sara A. Fabian

  • Hierarchically organized behavior and its neural foundations: A reinforcement learning perspective

    Matthew M. Botvinick;Yael Niv;Andrew C. Barto

  • The contribution of the anterior cingulate cortex to executive processes in cognition.

    Cameron S. Carter;Matthew M. Botvinick;Jonathan D. Cohen

Frequent Co-Authors

Jonathan D. Cohen
Jonathan D. Cohen Princeton University
Cameron S. Carter
Cameron S. Carter University of California, Irvine
Carlos D. Brody
Carlos D. Brody Princeton University
Amitai Shenhav
Amitai Shenhav Brown University
Samuel J. Gershman
Samuel J. Gershman Harvard University
David C. Plaut
David C. Plaut Carnegie Mellon University
Nick Yeung
Nick Yeung University of Oxford
Felix Hill
Felix Hill Google (United States)
Dharshan Kumaran
Dharshan Kumaran Google (United States)
Todd S. Braver
Todd S. Braver Washington University in St. Louis

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