2 papers
cs.CV2026
GraPHFormer: A Multimodal Graph Persistent Homology Transformer for the Analysis of Neuroscience Morphologies
Uzair Shah, Marco Agus, Mahmoud Gamal +5
Neuronal morphology encodes critical information about circuit function, development, and disease, yet current methods analyze topology or graph structure in isolation. We introduc…
cs.NE2025
Bio-Inspired Adaptive Neurons for Dynamic Weighting in Artificial Neural Networks
Ashhadul Islam, Abdesselam Bouzerdoum, Samir Brahim Belhaouari
Traditional neural networks employ fixed weights during inference, limiting their ability to adapt to changing input conditions, unlike biological neurons that adjust signal streng…