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Neuroscience

D-Index
33
Citations
9961
World Ranking
9391
National Ranking
788

Overview

Jan Gläscher is affiliated with Universität Hamburg in Germany and focuses predominantly on the field of Neuroscience, where they have contributed to 27 publications. Their research ventures deeply into Cognitive Neuroscience, Artificial Intelligence, and Statistical and Nonlinear Physics, among other subfields. This interdisciplinary scope expands also into Social Psychology and Safety Research.

Their main topics of investigation are diverse and include Neural and Behavioral Psychology Studies, Neural dynamics and brain function, Neural Networks and Applications, and Functional Brain Connectivity Studies. Further areas of interest encompass Opinion Dynamics and Social Influence, the Psychology of Moral and Emotional Judgment, and Experimental Behavioral Economics Studies.

Jan Gläscher's publication record includes a number of recent papers with multiple coauthors. Notable papers include:

  • Using reinforcement learning models in social neuroscience: frameworks, pitfalls and suggestions of best practices (2020), published in Social Cognitive and Affective Neuroscience
  • A brain network supporting social influences in human decision-making (2020), published in Science Advances
  • Theory of mind and decision science: Towards a typology of tasks and computational models (2020), published in Neuropsychologia
  • Strategies for navigating a dynamic world (2020), published in Science
  • Stress reduces both model-based and model-free neural computations during flexible learning (2021), published in NeuroImage

The scientist has collaborated frequently with a network of coauthors including Tatia Buidze, Ke Zhao, Xiaolan Fu, Lei Zhang, and Léon Möhring. These collaborations have resulted in multiple joint publications.

Their work has been published in a range of venues, with recurrent contributions to bioRxiv (Cold Spring Harbor Laboratory), Cell Reports, iScience, SSRN Electronic Journal, and Social Cognitive and Affective Neuroscience. This variety of publication venues reflects the interdisciplinary nature of their research.

Best Publications

  • States versus Rewards: Dissociable Neural Prediction Error Signals Underlying Model-Based and Model-Free Reinforcement Learning

    Jan Gläscher;Nathaniel Douglass Daw;Peter Dayan;John P. O'Doherty;John P. O'Doherty

  • Oxytocin Attenuates Amygdala Responses to Emotional Faces Regardless of Valence

    Gregor Domes;Markus Heinrichs;Jan Gläscher;Christian Büchel

  • Pathological gambling is linked to reduced activation of the mesolimbic reward system

    Jan Reuter;Thomas Raedler;Michael Rose;Iver Hand

  • Dissociable Systems for Gain- and Loss-Related Value Predictions and Errors of Prediction in the Human Brain

    Juliana Yacubian;Jan Gläscher;Katrin Schroeder;Tobias Sommer

  • Processing of the arousal of subliminal and supraliminal emotional stimuli by the human amygdala.

    Jan Gläscher;Ralph Adolphs

  • Lesion mapping of cognitive control and value-based decision making in the prefrontal cortex

    Jan Gläscher;Ralph Adolphs;Hanna Damasio;Antoine Bechara;Antoine Bechara

  • Personal space regulation by the human amygdala

    Daniel P Kennedy;Jan Gläscher;J Michael Tyszka;Ralph Adolphs

  • Determining a Role for Ventromedial Prefrontal Cortex in Encoding Action-Based Value Signals During Reward-Related Decision Making

    Jan Gläscher;Alan N. Hampton;John P. O'Doherty

  • Distributed neural system for general intelligence revealed by lesion mapping

    J. Gläscher;D. Rudrauf;R. Colom;L. K. Paul

  • Visualization of Group Inference Data in Functional Neuroimaging

    Jan Gläscher

  • Gene–gene interaction associated with neural reward sensitivity

    Juliana Yacubian;Tobias Sommer;Katrin Schroeder;Jan Gläscher

  • Lesion Mapping of Cognitive Abilities Linked to Intelligence

    Jan Gläscher;Daniel Tranel;Lynn K. Paul;David Rudrauf

  • Somatotopic organization of human somatosensory cortices for pain: a single trial fMRI study.

    U. Bingel;J. Lorenz;Volkmar Glauche;René Knab

  • Using reinforcement learning models in social neuroscience: frameworks, pitfalls and suggestions of best practices.

    Lei Zhang;Lukas Lengersdorff;Nace Mikus;Jan Gläscher

  • Somatotopic Representation of Nociceptive Information in the Putamen: An Event-related fMRI Study

    U. Bingel;J. Gläscher;C. Weiller;C. Büchel

  • fMRI Reveals How Pain Modulates Visual Object Processing in the Ventral Visual Stream

    Ulrike Bingel;Michael Rose;Jan Gläscher;Christian Büchel

  • Dissociable contributions within the medial temporal lobe to encoding of object-location associations

    Tobias Sommer;Michael Rose;Jan Gläscher;Thomas Wolbers

  • Neural correlates of memory confidence.

    Steffen Moritz;Jan Gläscher;Tobias Sommer;Christian Büchel

  • A brain network supporting social influences in human decision-making.

    Lei Zhang;Lei Zhang;Jan Gläscher

  • Model-based approaches to neuroimaging: combining reinforcement learning theory with fMRI data

    Jan P. Gläscher;John P. O'Doherty;John P. O'Doherty

Frequent Co-Authors

Christian Büchel
Christian Büchel University Medical Center Hamburg-Eppendorf
Tobias Sommer
Tobias Sommer Universität Hamburg
Ralph Adolphs
Ralph Adolphs California Institute of Technology
Daniel Tranel
Daniel Tranel University of Iowa
John P. O'Doherty
John P. O'Doherty California Institute of Technology
Dieter F. Braus
Dieter F. Braus Universität Hamburg
David Rudrauf
David Rudrauf University of Geneva
Hanna Damasio
Hanna Damasio University of Southern California
Steffen Moritz
Steffen Moritz University Medical Center Hamburg-Eppendorf
Ulrike Bingel
Ulrike Bingel University of Duisburg-Essen

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