EventsMOL2NET'23, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 9th ed.
Published
with-doi10.3390/mol2net-09-14210 (registering DOI)
This submission belongs to the session 05. USEDAT.NET: USA-Europe Data Analysis Trends & Complex Networks Mini Congress Series, Coruña, SP-Miami, USA, 2023 of the event MOL2NET'23, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 9th ed.
Published date
14 Mar, 2023
Academic Editor
author-avatarMOL2NET Team
Citation
Shan He, Current Innovative Artificial Intelligence Approach in Neuroscience, in Proceedings of MOL2NET'23, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 9th ed., 25 December–31 December 2023, MDPI: Basel, Switzerland, doi: 10.3390/mol2net-09-14210
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Current Innovative Artificial Intelligence Approach in Neuroscience

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1. Department of Organic and Inorganic Chemistry, Faculty of Science and Technology, University of the Basque Country UPV/EHU, P.O.Box 644, 48080 Bilbao, Spain.
2. IKERDATA S.L, ZITEK, UPV/EHU, Rectorate Building, n0 6, Leioa, Greater Bilbao, Basque Country, Spain.
Abstract

Machine learning (ML), the sub-set of AI, is a part of computer science which enables computers to have the ability to learn without being explicitly programmed. This process of leaning involves from the study of pattern recognition and computational learning theory. In addition, these algorithms can learn from and make predictions on data. These models obtained enable researchers, data scientists, engineers, and analysts to get reliable, repeatable decisions. Furthermore, the results analysis and discover hidden intuitions, through learning from historical relationships and trends in the data. ML models have been demonstrated the capacity of decision-making by clinicians in neurosurgical propose. In this mini-review, AI/ML approaches to data pre-processing, modeling and representative applications in neuroscience-related-topic will be introduced.

Keywords
Machine Learning
Artificial Intelligence
Neuroscience-related-topic
Manuscript
Poster
AIMEDIC-09.pdf
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