Data-Centric and Model-Centric Explainable Artificial Intelligence for Advanced Neuroscience
摘要截稿:
全文截稿: 2024-07-31
影响因子: 2.214
期刊难度:
CCF分类: 无
中科院JCR分区:
• 大类 : 医学 - 4区
• 小类 : 生化研究方法 - 3区
• 小类 : 神经科学 - 4区
Overview
This special issue welcomes articles that examine the role of Explainable Artificial Intelligence in the context of Advanced Neuroscience.
Guest editors:
Chinmay Chakraborty, Birla Institute of TechnologyNeville Calleja, University of MaltaJulien Ognard, Brest University Hospital Centre
Special issue information:
In the context of advanced neuroscience, the concept of Data-Centric focuses on interpreting and explaining the insights derived directly from complex neurological data. This approach emphasizes the transparency and interpretability of the data analysis process, providing a clear understanding of how the AI arrives at its conclusions. On the other hand, Model-Centric XAI in advanced neuroscience involves explaining the inner workings of the AI models themselves, shedding light on how they process neurological data and make predictions. This approach aims to make the AI models more transparent and comprehensible, enabling researchers to understand the reasoning behind their outputs and facilitating collaboration between AI and neuroscience experts.
This special issue is encouraged to submit their original research and review articles in theoretical, methodological, or practical focuses, such as simulation models, algorithms, experiments, and applications for XAI_based advanced Neuroscience systems. Each article should demonstrate how XAI is applied to the neuroscience.
Topics
• XAI powered Behavioral Neuroscience and Neurostimulation• Artificial Intelligence and machine learning for clinical neuroscience• Computer-aided detection/diagnosis for advance neuroscience• Data augmentations models for neuroscience• Data-Centric AI and Model-Centric AI for robustness and Security• High-level Ontology learning and XAI for advance neuroscience• Deep learning and neuroscience via XAI• Neuro-behavioral decisions systems• Personalised medicine in advanced neuroscience