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Francisco Sepulveda - Prof of Neural Engineering

Francisco Sepulveda - Prof of Neural Engineering

University of Essex

H-index: 32

Europe-United Kingdom

About Francisco Sepulveda - Prof of Neural Engineering

Francisco Sepulveda - Prof of Neural Engineering, With an exceptional h-index of 32 and a recent h-index of 18 (since 2020), a distinguished researcher at University of Essex, specializes in the field of BCI, Brain Computer Interface, Electromyography, Neural Prostheses, Functional Electrical Stimulation.

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

Comparison between covert sound-production task (sound-imagery) vs. motor-imagery for onset detection in real-life online self-paced BCIs

Modelling the effects of ephaptic coupling on selectivity and response patterns during artificial stimulation of peripheral nerves

Francisco Sepulveda - Prof of Neural Engineering Information

University

Position

___

Citations(all)

3814

Citations(since 2020)

1176

Cited By

3160

hIndex(all)

32

hIndex(since 2020)

18

i10Index(all)

73

i10Index(since 2020)

36

Email

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University Profile Page

University of Essex

Google Scholar

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Francisco Sepulveda - Prof of Neural Engineering Skills & Research Interests

BCI

Brain Computer Interface

Electromyography

Neural Prostheses

Functional Electrical Stimulation

Top articles of Francisco Sepulveda - Prof of Neural Engineering

Title

Journal

Author(s)

Publication Date

Comparison between covert sound-production task (sound-imagery) vs. motor-imagery for onset detection in real-life online self-paced BCIs

Journal of NeuroEngineering and Rehabilitation

Youngjae Song

Francisco Sepulveda

2020/12

Modelling the effects of ephaptic coupling on selectivity and response patterns during artificial stimulation of peripheral nerves

PLOS Computational Biology

Miguel Capllonch-Juan

Francisco Sepulveda

2020/6/1

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