Application of Explainable AI in Neuroscience: Enhancing Autism Screening
Oana Geman, Sara Sharghilavan, Hadi Abbasi, Roxana Toderean, Octavian Adrian Postolache, Alexandra-Stefania Mihai, Matti Karppa
This paper applies a ResNet+BiLSTM hybrid model with explainable AI techniques to classify autism spectrum disorder using EEG data, achieving accurate classification and transparent feature explanations.
bioRxiv · Feb 16, 2026 · PreprintNeuroscience