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  • Journal of Neural Engineering - IOPscience
    SUPPORTS OPEN ACCESS Journal of Neural Engineering was created to help scientists, clinicians and engineers to understand, replace, repair and enhance the nervous system
  • A review of classification algorithms for EEG-based brain–computer . . .
    Objective Most current electroencephalography (EEG)-based brain–computer interfaces (BCIs) are based on machine learning algorithms There is a large diversity of classifier types that are used in this field, as described in our 2007 review paper Now, approximately ten years after this review publication, many new algorithms have been developed and tested to classify EEG signals in BCIs
  • Contact us - Journal of Neural Engineering - IOPscience
    IOP Publishing team for Journal of Neural Engineering (JNE) Publisher Jessica Wheeler Editor Charlotte O'Neale For any queries relating to the content and development of JNE or the peer review process, or articles that have been accepted for publications, please contact our Publishing and Production team at jne@ioppublishing org Social Follow this journal on Bluesky and Threads Rights and
  • Magnetoencephalography (MEG) based non-invasive Chinese speech decoding
    Magnetoencephalography (MEG) based non-invasive Chinese speech decoding Zhihong Jia, Hongbin Wang, Yuanzhong Shen, Feng Hu, Jiayu An, Kai Shu* and Dongrui Wu* Published 25 November 2025 • © 2025 IOP Publishing Ltd All rights, including for text and data mining, AI training, and similar technologies, are reserved Journal of Neural Engineering, Volume 22, Number 6 Citation Zhihong Jia et
  • Editorial Board - Journal of Neural Engineering - IOPscience
    Editor-in-Chief Dominique M Durand Case Western Reserve University, Cleveland, OH, USA Executive Editorial Board Warren M Grill Duke University, Durham, NC, USA Shangkai Gao Tsinghua University, Beijing, People’s Republic of China Editorial Board Danielle Bassett University of Pennsylvania, USA Marom Bikson The City College of New York, USA Kwaben Boahen Stanford University, CA, USA Niels
  • Journal of Neural Engineering - IOPscience - Publishing Support
    Author guidelines The goal of Journal of Neural Engineering (JNE) is to act as a forum for the interdisciplinary field of neural engineering where neuroscientists, neurobiologists and engineers can publish their work in one periodical that bridges the gap between neuroscience and engineering The journal publishes articles in the field of neural engineering at the molecular, cellular and
  • Editorial board - IOPscience - Publishing Support
    Editor-in-Chief Warren M Grill Duke University, Durham, NC, USA Executive Editorial Board X Tracy Cui, University of Pittsburgh, PA, USA David Guiraud INRIA, Montpellier, France Madeleine Lowery University College Dublin, Ireland Bo Hong, Tsinghua University, People’s Republic of China Editorial Board Maria Asplund, Chalmers University of Technology, Gothenburg, Sweden Marom Bikson The City
  • EEG artifact removal—state-of-the-art and guidelines
    This paper presents an extensive review on the artifact removal algorithms used to remove the main sources of interference encountered in the electroencephalogram (EEG), specifically ocular, muscular and cardiac artifacts We first introduce background knowledge on the characteristics of EEG activity, of the artifacts and of the EEG measurement model Then, we present algorithms commonly
  • BCI for stroke rehabilitation: motor and beyond - IOPscience
    Journal of Neural Engineering, Volume 17, Number 4 Special Issue on Brain Computer Interfaces and Rehabilitation Citation Ravikiran Mane et al 2020 J Neural Eng 17 041001 DOI 10 1088 1741-2552 aba162
  • Brain–computer interfaces and personhood: interdisciplinary . . .
    The current lack of diversity in science and engineering is a known problem, but presents particular challenges in designing neural technology that does not rely on narrowly medical or stigmatizing narratives For BCI develop-ers, we recommend a ‘resonant design’ approach to concep-tualizing and developing technology





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