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Neuroscience

D-Index
47
Citations
23369
World Ranking
6286
National Ranking
2737

Research.com Recognitions

  • 2016 - Fellow of Alfred P. Sloan Foundation

Overview

Christopher J. Honey is affiliated with Johns Hopkins University in the United States. Their research primarily focuses on the field of neuroscience, with a strong emphasis on cognitive neuroscience. Additional subfields include artificial intelligence, developmental and educational psychology, social psychology, and electrical and electronic engineering.

Their work covers a range of topics related to brain function and behavior. Key areas of study include functional brain connectivity studies, neural dynamics and brain function, neurobiology of language and bilingualism, memory and neural mechanisms, action observation and synchronization, neural and behavioral psychology studies, and identity, memory, and therapy.

Christopher J. Honey has contributed to several recent publications in prominent scientific venues. Some of their recent papers include:

  • The "Narratives" fMRI dataset for evaluating models of naturalistic language comprehension (2021, Scientific Data)
  • Constructing and Forgetting Temporal Context in the Human Cerebral Cortex (2020, Neuron)
  • Social-affective features drive human representations of observed actions (2022, eLife)
  • The past, present, and future of the brain imaging data structure (BIDS) (2024, Imaging Neuroscience)
  • A smartphone intervention that enhances real-world memory and promotes differentiation of hippocampal activity in older adults (2022, Proceedings of the National Academy of Sciences)

They frequently collaborate with other researchers, including Janice Chen, Tyler M. Tomita, Diana C. Dima, Leyla Işık, and Yaroslav O. Halchenko. These collaborations reflect ongoing partnerships within cognitive neuroscience and related disciplines.

Christopher J. Honey has published multiple papers in key academic venues. The most frequent publication platforms include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)
  • Proceedings of the National Academy of Sciences
  • Nature Communications
  • Journal of Vision

In 2016, they were recognized as a Fellow of the Alfred P. Sloan Foundation.

Best Publications

  • Mapping the Structural Core of Human Cerebral Cortex

    Patric Hagmann;Leila Cammoun;Xavier Gigandet;Reto Meuli

  • Predicting human resting-state functional connectivity from structural connectivity

    Ch. Honey;O. Sporns;Leila Cammoun;Xavier Gigandet

  • Network structure of cerebral cortex shapes functional connectivity on multiple time scales.

    Christopher J. Honey;Rolf Kötter;Michael Breakspear;Olaf Sporns

  • Identification and classification of hubs in brain networks.

    Olaf Sporns;Christopher J. Honey;Rolf Kötter;Rolf Kötter

  • Topographic Mapping of a Hierarchy of Temporal Receptive Windows Using a Narrated Story

    Yulia Lerner;Christopher J. Honey;Lauren J. Silbert;Uri Hasson

  • Can structure predict function in the human brain

    Christopher J. Honey;Jean-Philippe Thivierge;Olaf Sporns

  • Hierarchical process memory: memory as an integral component of information processing

    Uri Hasson;Janice Chen;Christopher J. Honey

  • Shared memories reveal shared structure in neural activity across individuals

    Janice Chen;Yuan Chang Leong;Christopher J. Honey;Chung H. Yong

  • Dynamic reconfiguration of the default mode network during narrative comprehension

    Erez Simony;Christopher J Honey;Janice Chen;Olga Lositsky

  • Slow cortical dynamics and the accumulation of information over long timescales

    Christopher J. Honey;Thomas Thesen;Tobias H. Donner;Lauren J. Silbert

  • Coupled neural systems underlie the production and comprehension of naturalistic narrative speech

    Lauren J. Silbert;Christopher J. Honey;Erez Simony;David Poeppel

  • Dynamical consequences of lesions in cortical networks.

    Christopher J. Honey;Olaf Sporns

  • Small worlds inside big brains

    Olaf Sporns;Christopher J. Honey

  • MR connectomics: Principles and challenges

    Patric Hagmann;Patric Hagmann;Patric Hagmann;Leila Cammoun;Xavier Gigandet;Stephan Gerhard

  • Broadband changes in the cortical surface potential track activation of functionally diverse neuronal populations

    Kai J Miller;Christopher J Honey;Dora Hermes;Rajesh P N Rao

  • Same Story, Different Story: The Neural Representation of Interpretive Frameworks

    Yaara Yeshurun;Stephen Swanson;Erez Simony;Janice Chen

  • Human Motor Cortical Activity Is Selectively Phase-Entrained on Underlying Rhythms

    Kai J. Miller;Dora Hermes;Dora Hermes;Christopher J. Honey;Adam O. Hebb

  • Neurophysiological investigation of spontaneous correlated and anticorrelated fluctuations of the BOLD signal

    Corey J. Keller;Stephan Bickel;Stephan Bickel;Christopher J. Honey;David M. Groppe

  • iELVis: An open source MATLAB toolbox for localizing and visualizing human intracranial electrode data

    David M Groppe;David M Groppe;Stephan Bickel;Andrew R Dykstra;Xiuyuan Wang

  • Mapping human brain networks with cortico-cortical evoked potentials

    Corey J. Keller;Christopher J. Honey;Pierre Mégevand;Laszlo Entz

  • Not Lost in Translation: Neural Responses Shared Across Languages

    Christopher J. Honey;Christopher R. Thompson;Yulia Lerner;Uri Hasson

Frequent Co-Authors

Uri Hasson
Uri Hasson Princeton University
Olaf Sporns
Olaf Sporns Indiana University
Kenneth A. Norman
Kenneth A. Norman Princeton University
Patric Hagmann
Patric Hagmann University of Lausanne
Kai J. Miller
Kai J. Miller Mayo Clinic
Morgan D. Barense
Morgan D. Barense University of Toronto
Jeffrey G. Ojemann
Jeffrey G. Ojemann University of Washington
Orrin Devinsky
Orrin Devinsky New York University
István Ulbert
István Ulbert Pázmány Péter Catholic University
Lucas C. Parra
Lucas C. Parra City College of New York

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