Special Issue "Neuroscience Meets Artificial Intelligence"
A special issue of Brain Sciences (ISSN 2076-3425). This special issue belongs to the section "Neural Engineering, Neuroergonomics and Neurorobotics".
Deadline for manuscript submissions: 29 February 2024 | Viewed by 230
Special Issue Editors
Dr. Christian Salvatore
2. DeepTrace Technologies, Milan, Italy
Interests: artificial intelligence; machine learning; pattern recognition; alzheimer's disease; neuroimaging; biomarkers; biomedical signal processing; predictive models, explainabel AI; brain-inspired AI
Interests: cognitive, language, and communication disorders in patients with neurodegenerative disorders; frontotemporal dementia; Alzheimer’s disease
Interests: neuroimaging; statistical learning theory; biomedical signal processing; computer-aided diagnosis
Special Issues, Collections and Topics in MDPI journals
2. Institut de Neurociències, University of Barcelona, Barcelona, Spain
3. Integrative Neuroimaging Lab, 55133 Thessaloniki, Macedonia, Greece
4. Neuroinformatics Group, Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Cardiff CF24 4HQ, UK
Interests: multimodal neuroimaging; genetic neuroimaging; network neuroscience; biomarkers; reproducibility in neuroscience and neuroimaging analysis; biomedical signal processing; artificial intelligence; machine learning; Alzheimer’s disease; schizophrenia; traumatic brain injury; intervention protocols
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial intelligence (AI) has emerged as a cutting-edge computational tool for analyzing vast and complex datasets in various scientific fields. Its application in neuroscience has garnered significant attention, as AI possesses the capacity to unveil intricate patterns and nonlinear relationships within large and complex data.
This Special Issue, entitled "Neuroscience Meets Artificial Intelligence", focuses on the intersection of neuroscience and AI, aiming to explore the synergistic potential of combining these two disciplines to advance our understanding of the brain and develop innovative applications in these areas.
This potential is threefold: on the one hand, AI can be used to develop diagnostic, prognostic and predictive models able to support clinical decisions; belonging to this category, AI-based methodologies in the realm of medical diagnosis for neurological disorders can indeed improve the diagnostic and treatment process for degenerative diseases (i.e., Alzheimer’s disease, frontotemporal dementia, Parkinson’s disease); on the other hand, neuroscientific knowledge can be used to draw inspiration for brain-like AI systems, with the aim of improving their current performance, also in terms of required computational power; lastly, such systems could be used as human–brain models to verify hypotheses drawn by neuroscientists.
The Issue will feature cutting-edge research that brings together neuroscience principles and AI methodologies, fostering collaboration between the two disciplines. This Special Issue seeks to bridge the gap between neuroscience and AI, promoting interdisciplinary research and facilitating the translation of scientific discoveries into practical applications for the benefit of society.
The solicited papers will encompass a wide range of topics, including machine learning and deep learning, neural network modeling, brain-computer interface, AI applied to cognitive, linguistic, and computational neuroscience, autonomous intelligent systems inspired by the brain, and exploratory research on new emerging AI techniques. Authors are invited to submit relevant original research articles as well as opinion and review papers. The use of standard checklists for AI is appreciated.
Dr. Christian Salvatore
Dr. Petronilla Battista
Prof. Dr. Juan Manuel Gorriz
Dr. Stavros I. Dimitriadis
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Brain Sciences is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- brain-inspired AI
- brain-computer interface
- brain imaging
- computer-aided diagnosis
- explainable AI
- neuroimaging
- neurological disorders
- neurodevelopmental disorders
- neurological/biomedical signal processing
- predictive models
