Chris Mathys

About Chris Mathys

Chris Mathys, With an exceptional h-index of 37 and a recent h-index of 35 (since 2020), a distinguished researcher at Aarhus Universitet, specializes in the field of Algorithms of cognition, Time series, Disorders of the mind.

His recent articles reflect a diverse array of research interests and contributions to the field:

Attachment and personality disorder as the dance unfolds: A quantitative analysis of a novel paradigm

Pain and still no gain: Diminished pain sensitivity mediates the relationship between psychopathic traits and reduced learning from pain

Adaptive social decisions are disrupted in highly antagonistic individuals

Uncertainty in Thermosensory Expectations Enhances an Illusion of Pain

Bayesian Workflow for Generative Modeling in Computational Psychiatry

Phi fluctuates with surprisal: An empirical pre-study for the synthesis of the free energy principle and integrated information theory

Lesions to the mediodorsal thalamus but not orbitofrontal cortex enhance volatility beliefs linked to paranoia

Blocking D2/D3 dopamine receptors in male participants increases volatility of beliefs when learning to trust others

Chris Mathys Information

University

Position

Denmark

Citations(all)

7779

Citations(since 2020)

5713

Cited By

4568

hIndex(all)

37

hIndex(since 2020)

35

i10Index(all)

54

i10Index(since 2020)

52

Email

University Profile Page

Google Scholar

Chris Mathys Skills & Research Interests

Algorithms of cognition

Time series

Disorders of the mind

Top articles of Chris Mathys

Attachment and personality disorder as the dance unfolds: A quantitative analysis of a novel paradigm

Journal of Psychiatric Research

2024/4/17

Pain and still no gain: Diminished pain sensitivity mediates the relationship between psychopathic traits and reduced learning from pain

2024/2/12

Adaptive social decisions are disrupted in highly antagonistic individuals

2024/2/5

Uncertainty in Thermosensory Expectations Enhances an Illusion of Pain

bioRxiv

2024

Bayesian Workflow for Generative Modeling in Computational Psychiatry

bioRxiv

2024

Phi fluctuates with surprisal: An empirical pre-study for the synthesis of the free energy principle and integrated information theory

PLOS Computational Biology

2023/10/20

Lesions to the mediodorsal thalamus but not orbitofrontal cortex enhance volatility beliefs linked to paranoia

2023/10/10

Blocking D2/D3 dopamine receptors in male participants increases volatility of beliefs when learning to trust others

Nature Communications

2023/7/8

The generalized Hierarchical Gaussian Filter

arXiv preprint arXiv:2305.10937

2023/5/18

70. Strong Pessimistic Priors in Highly Antagonistic Individuals Disrupts Adaptive Social Learning

Biological Psychiatry

2023/5/1

Frontiers in psychodynamic neuroscience

Frontiers in Human Neuroscience

2023/3/22

Computational phenotyping of aberrant belief updating in individuals with schizotypal traits and schizophrenia

medRxiv

2023

Effects of dopamine D2/3 and opioid receptor antagonism on the trade-off between model-based and model-free behaviour in healthy volunteers

Elife

2022/12/5

Conditioned hallucinations and prior overweighting are state-sensitive markers of hallucination susceptibility

Biological psychiatry

2022/11/15

A move-by-move paradigm for the computational characterization of attachment style and personality disorder

2022/11/14

A generative framework for the study of delusions

Schizophrenia Research

2022/7/1

Conditioned hallucinations and prior hyper-precision are state-sensitive markers of hallucination susceptibility

2021/10/8

Inferring in Circles: Active Inference in Continuous State Space Using Hierarchical Gaussian Filtering of Sufficient Statistics

2021/9/13

Rule Learning Through Active Inductive Inference

2021/9/13

Paranoia and belief updating during the COVID-19 crisis

Nature human behaviour

2021/9

See List of Professors in Chris Mathys University(Aarhus Universitet)

Co-Authors

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