Ben Seymour

Ben Seymour

University of Oxford

H-index: 57

Europe-United Kingdom

About Ben Seymour

Ben Seymour, With an exceptional h-index of 57 and a recent h-index of 46 (since 2020), a distinguished researcher at University of Oxford, specializes in the field of Neuroscience.

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

Enhanced behavioural and neural sensitivity to punishments in chronic pain and fatigue

Balancing safety and efficiency in human decision making

Statistical learning shapes pain perception and prediction independently of external cues

Post-injury pain and behaviour: a control theory perspective

How the magnitude and precision of pain predictions shape pain experiences

Improving sleep and learning in rehabilitation after stroke, part 2 (INSPIRES2): study protocol for a home-based randomised control trial of digital cognitive behavioural …

Evidence for dopaminergic involvement in endogenous modulation of pain relief

Confidence of probabilistic predictions modulates the cortical response to pain

Ben Seymour Information

University

Position

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Citations(all)

29571

Citations(since 2020)

9773

Cited By

23898

hIndex(all)

57

hIndex(since 2020)

46

i10Index(all)

85

i10Index(since 2020)

82

Email

University Profile Page

Google Scholar

Ben Seymour Skills & Research Interests

Neuroscience

Top articles of Ben Seymour

Enhanced behavioural and neural sensitivity to punishments in chronic pain and fatigue

bioRxiv

2024/4/8

Balancing safety and efficiency in human decision making

bioRxiv

2024

Statistical learning shapes pain perception and prediction independently of external cues

eLife

2023/10/4

Post-injury pain and behaviour: a control theory perspective

2023/6

Ben Seymour
Ben Seymour

H-Index: 45

How the magnitude and precision of pain predictions shape pain experiences

2023/4/24

Ben Seymour
Ben Seymour

H-Index: 45

Improving sleep and learning in rehabilitation after stroke, part 2 (INSPIRES2): study protocol for a home-based randomised control trial of digital cognitive behavioural …

BMJ open

2023/4/1

Evidence for dopaminergic involvement in endogenous modulation of pain relief

Elife

2023/2/1

Ben Seymour
Ben Seymour

H-Index: 45

Confidence of probabilistic predictions modulates the cortical response to pain

Proceedings of the National Academy of Sciences

2023/1/24

Statistical learning in acute and chronic pain

medRxiv

2023

Neurofeedback Training without Explicit Phantom Hand Movements and Hand-Like Visual Feedback to Modulate Pain: A Randomized Crossover Feasibility Trial

The Journal of Pain

2022/12/1

Computational and neural mechanisms of statistical pain learning

Nature Communications

2022/11/3

Endogenous modulation of pain relief: evidence for dopaminergic but not opioidergic involvement

BioRxiv

2022/7/13

Ben Seymour
Ben Seymour

H-Index: 45

Learning the statistics of pain: computational and neural mechanisms

BioRxiv

2021/10/22

A multi-site, multi-disorder resting-state magnetic resonance image database

Scientific data

2021/8/30

Hierarchical models of pain: Inference, information-seeking, and adaptive control.

NeuroImage

2020/11/15

Ben Seymour
Ben Seymour

H-Index: 45

Flavia Mancini
Flavia Mancini

H-Index: 16

Pain control by co-adaptive learning in a brain-machine interface

Current Biology

2020/10/19

Reward enhances pain discrimination in humans

Psychological Science

2020/9

Ben Seymour
Ben Seymour

H-Index: 45

BCI training to move a virtual hand reduces phantom limb pain: A randomized crossover trial

Neurology

2020/7/28

Resting-state amplitude of low-frequency fluctuation is a potentially useful prognostic functional biomarker in cervical myelopathy

Clinical Orthopaedics and Related Research®

2020/7/1

Ben Seymour
Ben Seymour

H-Index: 45

Yusuke Sakai
Yusuke Sakai

H-Index: 3

An evolutionarily threat-relevant odor strengthens human fear memory

Frontiers in Neuroscience

2020/4/22

Hakwan Lau
Hakwan Lau

H-Index: 46

Ben Seymour
Ben Seymour

H-Index: 45

See List of Professors in Ben Seymour University(University of Oxford)

Co-Authors

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