- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Explainable Artificial Intelligence (XAI)
- Brain Tumor Detection and Classification
- Cell Image Analysis Techniques
- Neural and Behavioral Psychology Studies
- Aesthetic Perception and Analysis
- Machine Learning in Healthcare
- Neural dynamics and brain function
- Neural Networks and Applications
- Face Recognition and Perception
Universidade do Porto
2022-2025
Introduction The research in consumer neuroscience has identified computational methods, particularly artificial intelligence (AI) and machine learning, as a significant frontier for advancement. Previously, we utilized functional magnetic resonance imaging (fMRI) neural networks (ANNs) to model brain processes related brand preferences paradigm exempted from motor actions. In the current study, revisit this data, introducing recent advancements explainable (xAI) gain insights into domain....
Artificial neural networks (ANNs) have been used for classification tasks involving functional magnetic resonance imaging (fMRI), though typically focusing only on fractions of the brain in analysis. Recent work combined shallow (SNNs) with explainable artificial intelligence (xAI) techniques to extract insights into processes. While earlier studies validated this approach using motor task fMRI data, present study applies it Theory Mind (ToM) cognitive tasks, data from Human Connectome...