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Advanced signal processing and models for neuroscience

Advancing our understanding of the brain and central nervous system requires collaboration across various scientific disciplines, such as neuroscience, engineering, computer science, physics and mathematics, in order to extract, analyze and interpret meaningful information from neuroimaging and neurophysiological data, obtained using modalities such as EEG, ECoG, MEG, MRI, optical imaging and NIRS, PET, CT, functional ultrasound, microscopy, or calcium imaging. The amount of brain imaging and neurophysiological data available for researchers and clinicians is growing rapidly and vastly due to unprecedented spatial, temporal and spectral resolutions, the discovery of novel imaging modalities, the integration of multiple signal and imaging techniques, and the more universal availability of equipment. This special issue aims to present novel signal processing algorithms and models that aim to gain a deeper understanding of the function, structure and physiology of the healthy and diseased brain and central nervous system, along with the new challenges this goal poses and inspiring new directions in theoretical and applied signal processing for neuroscience.

Lead Guest Editor
César Caballero Gaudes, Basque Center on Cognition, Brain, and Language, San Sebastián, Spain

Guest Editors
Borbála Hunyadi, TU Delft, Netherlands
Philippe Ciuciu, CEA, France
Patricia Figueiredo, Universidade de Lisboa, Portugal
Devrim Unay, Izmir Demokrasi University, Turkey 

Submission Status: Closed | Submission Deadline: Closed

This collection is no longer accepting submissions.

Submission Guidelines
This Collection welcomes submission of Research Articles. Before submitting your manuscript, please ensure you have read our submission guidelines. Articles for this Collection should be submitted via our submission system. During the submission process, under the section additional information, you will be asked whether you are submitting to a Collection, please select "Advanced signal processing and models for neuroscience" from the dropdown menu.

Articles will undergo the journal’s standard peer-review process and are subject to all of the journal’s standard policies. Articles will be added to the Collection as they are published.

The Guest Editors have no competing interests with the submissions which they handle through the peer review process. The peer review of any submissions for which the Guest Editors have competing interests is handled by another Editorial Board Member who has no competing interests.

  1. Biometric systems are essential tools in modern society where most of our personal information lives in digital form. Although there is a significant variety of biometrics, electroencephalogram (EEG) signals a...

    Authors: Dustin Carrión-Ojeda, Paola Martínez-Arias, Rigoberto Fonseca-Delgado, Israel Pineda and Héctor Mejía-Vallejo
    Citation: EURASIP Journal on Advances in Signal Processing 2024 2024:58
  2. Emotion recognition research has attracted great interest in various research fields, and electroencephalography (EEG) is considered a promising tool for extracting emotion-related information. However, tradit...

    Authors: Teng Wang, Xiaoqiao Huang, Zenan Xiao, Wude Cai and Yonghang Tai
    Citation: EURASIP Journal on Advances in Signal Processing 2024 2024:49