World's Best Scientists 2026 revealed!
Evelina Fedorenko

Evelina Fedorenko

D-Index & Metrics

Neuroscience

D-Index
69
Citations
17892
World Ranking
2616
National Ranking
1240

Psychology

D-Index
65
Citations
16078
World Ranking
2835
National Ranking
1636

Overview

Evelina Fedorenko is affiliated with the Massachusetts Institute of Technology (MIT) in the United States. Their research focuses primarily on the intersection of neuroscience and psychology, with a concentration in cognitive neuroscience. This work explores language processing, neurobiology, and brain function through integrative modeling and empirical studies.

The main fields of study for Fedorenko include:

  • Neuroscience
  • Psychology

Within these broader domains, their research emphasizes the following subfields:

  • Cognitive Neuroscience
  • Artificial Intelligence
  • Developmental and Educational Psychology
  • Social Psychology
  • Experimental and Cognitive Psychology

Fedorenko's work covers several key topics as well, including:

  • Neurobiology of Language and Bilingualism
  • Action Observation and Synchronization
  • Topic Modeling
  • Language Development and Disorders
  • Reading and Literacy Development
  • Functional Brain Connectivity Studies
  • Neural dynamics and brain function

Some of the recent papers authored or co-authored by Fedorenko include:

  • The language network as a natural kind within the broader landscape of the human brain, 2024, Nature Reviews Neuroscience
  • Broca's Area Is Not a Natural Kind, 2020, Trends in Cognitive Sciences

Other important recent publications relevant to their network include:

  • The neural architecture of language: Integrative modeling converges on predictive processing, 2021, Proceedings of the National Academy of Sciences
  • An investigation across 45 languages and 12 language families reveals a universal language network, 2022, Nature Neuroscience
  • Dissociating language and thought in large language models, 2024, Trends in Cognitive Sciences

Frequent collaborators in Fedorenko's research include:

  • Idan Blank
  • Greta Tuckute
  • Hope Kean
  • Zachary Mineroff
  • Anna A. Ivanova

The scientist often publishes in venues notable within the neuroscience and cognitive science communities. Key publication outlets are:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)
  • Neurobiology of Language
  • Cerebral Cortex
  • Nature Reviews Neuroscience

Best Publications

  • Broad domain generality in focal regions of frontal and parietal cortex

    Evelina G. Fedorenko;John Duncan;John Duncan;Nancy Kanwisher

  • Number as a cognitive technology: evidence from Pirahã language and cognition.

    Michael C. Frank;Daniel L. Everett;Evelina Fedorenko;Edward Gibson

  • New Method for fMRI Investigations of Language: Defining ROIs Functionally in Individual Subjects

    Evelina Fedorenko;Po-Jang Hsieh;Alfonso Nieto-Castañón;Susan Whitfield-Gabrieli

  • Reworking the language network

    Evelina Fedorenko;Sharon L. Thompson-Schill

  • Functional specificity for high-level linguistic processing in the human brain

    Evelina G. Fedorenko;Michael K. Behr;Nancy Kanwisher

  • Language-selective and domain-general regions lie side by side within Broca's area.

    Evelina Fedorenko;John Duncan;Nancy Kanwisher

  • The neural architecture of language: Integrative modeling converges on predictive processing.

    Martin Schrimpf;Idan Asher Blank;Greta Tuckute;Carina Kauf

  • Language processing in the occipital cortex of congenitally blind adults

    Marina Bedny;Alvaro Pascual-Leone;David Dodell-Feder;Evelina G. Fedorenko

  • Acoustic Correlates of Information Structure.

    Mara Breen;Evelina G. Fedorenko;Michael Wagner;Edward A. Gibson

  • Structural integration in language and music: evidence for a shared system.

    Evelina G. Fedorenko;Aniruddh Patel;Daniel Casasanto;Jonathan Winawer

  • An algorithmic method for functionally defining regions of interest in the ventral visual pathway.

    Joshua B. Julian;Evelina Fedorenko;Jason Webster;Nancy Kanwisher

  • Toward a universal decoder of linguistic meaning from brain activation

    Francisco Pereira;Bin Lou;Brianna Pritchett;Samuel Ritter

  • The need for quantitative methods in syntax and semantics research

    Edward A. Gibson;Evelina G. Fedorenko

  • Info/Information Theory: Speakers Choose Shorter Words in Predictive Contexts.

    Kyle Mahowald;Evelina Fedorenko;Steven T. Piantadosi;Edward Gibson

  • The nature of working memory capacity in sentence comprehension : Evidence against domain-specific working memory resources

    Evelina Fedorenko;Edward Gibson;Douglas Rohde

  • Subject-specific functional localizers increase sensitivity and functional resolution of multi-subject analyses.

    Alfonso Nieto-Castañón;Evelina Fedorenko

  • Language and thought are not the same thing: evidence from neuroimaging and neurological patients.

    Evelina Fedorenko;Evelina Fedorenko;Rosemary Varley

  • Broca's Area Is Not a Natural Kind.

    Evelina Fedorenko;Idan A. Blank

  • The role of domain-general cognitive control in language comprehension.

    Evelina Fedorenko

  • An investigation across 45 languages and 12 language families reveals a universal language network

    Unknown

  • Weak Quantitative Standards in Linguistics Research

    Edward A Gibson;Evelina G Fedorenko

  • The neural architecture of language: Integrative reverse-engineering converges on a model for predictive processing

    Martin Schrimpf;Martin Schrimpf;Idan Blank;Idan Blank;Greta Tuckute;Carina Kauf

Frequent Co-Authors

Simon E. Fisher
Simon E. Fisher Max Planck Society
John S. Duncan
John S. Duncan University College London
Nathalie Tzourio-Mazoyer
Nathalie Tzourio-Mazoyer University of Bordeaux
Marc Joliot
Marc Joliot University of Bordeaux
Alfonso Caramazza
Alfonso Caramazza Harvard University
Michael C. Frank
Michael C. Frank Stanford University
Jia Liu
Jia Liu Tsinghua University
Swathi Kiran
Swathi Kiran Boston University

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