Hamid Karimi-Rouzbahani

About Hamid Karimi-Rouzbahani

Hamid Karimi-Rouzbahani, With an exceptional h-index of 10 and a recent h-index of 10 (since 2020), a distinguished researcher at University of Cambridge, specializes in the field of Computational Neuroscience, Biomedical Engineering, Machine Learning.

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

Generalisability of epileptiform patterns across time and patients

Evidence for multiscale multiplexed representation of visual features in EEG

Deeper neural network models better reflect how humans cope with contrast variation in object recognition

Examining the generalizability of research findings from archival data

Caveats and nuances of model-based and model-free representational connectivity analysis

When the whole is less than the sum of its parts: maximum object category information and behavioral prediction in multiscale activation patterns

Facial Expression Recognition in Videos Using Dynamic Local Binary Patterns

Dissociable Contribution of Extrastriate Responses to Representational Enhancement of Gaze Targets

Hamid Karimi-Rouzbahani Information

University

Position

Newton International Fellow MRC Cognition and Brain Sciences Unit

Citations(all)

342

Citations(since 2020)

309

Cited By

102

hIndex(all)

10

hIndex(since 2020)

10

i10Index(all)

10

i10Index(since 2020)

10

Email

University Profile Page

Google Scholar

Hamid Karimi-Rouzbahani Skills & Research Interests

Computational Neuroscience

Biomedical Engineering

Machine Learning

Top articles of Hamid Karimi-Rouzbahani

Generalisability of epileptiform patterns across time and patients

Scientific Reports

2024/3/15

Hamid Karimi-Rouzbahani
Hamid Karimi-Rouzbahani

H-Index: 6

Evidence for multiscale multiplexed representation of visual features in EEG

Neural Computation

2024/2/16

Hamid Karimi-Rouzbahani
Hamid Karimi-Rouzbahani

H-Index: 6

Deeper neural network models better reflect how humans cope with contrast variation in object recognition

Neuroscience Research

2023/7/1

Hamid Karimi-Rouzbahani
Hamid Karimi-Rouzbahani

H-Index: 6

Examining the generalizability of research findings from archival data

Proceedings of the National Academy of Sciences

2022/7/26

Caveats and nuances of model-based and model-free representational connectivity analysis

Frontiers in Neuroscience

2022/3/10

When the whole is less than the sum of its parts: maximum object category information and behavioral prediction in multiscale activation patterns

Frontiers in Neuroscience

2022/3/2

Hamid Karimi-Rouzbahani
Hamid Karimi-Rouzbahani

H-Index: 6

Alexandra Woolgar
Alexandra Woolgar

H-Index: 18

Facial Expression Recognition in Videos Using Dynamic Local Binary Patterns

IEEE Transactions on Image Processing

2020/7/31

Dissociable Contribution of Extrastriate Responses to Representational Enhancement of Gaze Targets

Journal of cognitive neuroscience

2021/9/1

Yaser Merrikhi
Yaser Merrikhi

H-Index: 5

Hamid Karimi-Rouzbahani
Hamid Karimi-Rouzbahani

H-Index: 6

Temporal variabilities provide additional category-related information in object category decoding: a systematic comparison of informative EEG features

Neural Computation

2021/8/30

Hamid Karimi-Rouzbahani
Hamid Karimi-Rouzbahani

H-Index: 6

Saeed Setayeshi
Saeed Setayeshi

H-Index: 15

Perceptual difficulty modulates the direction of information flow in familiar face recognition

NeuroImage

2021/6/1

Neural signatures of vigilance decrements predict behavioural errors before they occur

Elife

2021/4/8

Hamid Karimi-Rouzbahani
Hamid Karimi-Rouzbahani

H-Index: 6

Alexandra Woolgar
Alexandra Woolgar

H-Index: 18

Informative Neural Codes to Separate Object Categories

2020/8

Hamid Karimi-Rouzbahani
Hamid Karimi-Rouzbahani

H-Index: 6

Investigating features of electroencephalography time series for pronounced object category information

2020/6/5

Hamid Karimi-Rouzbahani
Hamid Karimi-Rouzbahani

H-Index: 6

Saeed Setayeshi
Saeed Setayeshi

H-Index: 15

See List of Professors in Hamid Karimi-Rouzbahani University(University of Cambridge)

Co-Authors

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