Artificial Intelligence (AI) and Big Data Analytics in Neuroscience
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biosensors".
Deadline for manuscript submissions: closed (28 February 2020) | Viewed by 337
Special Issue Editors
Interests: biomedical engineering; artificial intelligence; data and knowledge representation; machine learning; optimization; assistive technologies
Interests: biomedical engineering; EEG; feature extraction; analysis and visualization of large-multi-scale and multi-modal data in neuroscience and epilepsy
Interests: biomedical engineering; artificial intelligence; long-term EEG data analysis; nonlinear signal processing; cluster analysis; pattern recognition and classification
Special Issue Information
Dear Colleagues,
Sensor networks are defined as devices that convert an input response into output signals, which can be later analyzed and interpreted. The sensing devices and subsequent analytics that help to describe the temporal and spatiotemporal properties of long-term physiological signals can include, and are not limited to, the following: DNA chips; lab-on-a-chip technology; micro-fluidic devices; and nano-sensors and nanotechnology used in biosensors, electrophysiological sensors, and so on.
Novel sensor systems can also include analytical parts and the subsequent analysis of big sensory data. New mathematical models or machine-learning algorithms using sensory inputs can help to find the attributes or hidden properties of the system. Novel AI techniques, including automated or semi-supervised approaches, could be also addressed. This includes deep learning networks, active learning algorithms, expert-in-the loop approaches, and models combined with optimization techniques. Furthermore, advanced visualization techniques can be also applied to various multi-scale and/or multi-modal data, in order to understand them better.
The design, development, and implementation of new devices, and the subsequent analytics, are important aspects for advancement in describing big data systems and their understanding, and, together with the underlying science, are highly recommended for publication in Sensors.
Dr. Lenka Lhotska
Dr. Vaclav Kremen
Dr. Vaclav Gerla
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. Sensors is an international peer-reviewed open access semimonthly 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 2600 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
- Neuroscience
- Big data
- Bio-signal processing
- Artificial intelligence
- Deep learning
- Visualization
- Long-term data
- Multi-scale Multi-modal
- Sensor networks
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
