Biologically Plausible Model of Olfactory Learning in Drosophila melanogaster using the Neural Engineering Framework
BV-NORM: A neural operator learning framework for parametric boundary value problems on complex geometric domains in engineering
Brain-inspired spiking neural networks in Engineering Mechanics: a new physics-based self-learning framework for sustainable Finite Element analysis
A physics-informed neural network framework integrating engineering codes for design optimization of stiffened cylinders
Conceptual Framework for Adaptive Biohybrid Neural Interfaces: Innovations in Medical Neural Engineering to Address Biocompatibility and Energy Efficiency Challenges
