6 citations · 12 across the 14 of their papers we have counts for
3 papers · 1 filter
Unified Complex-valued Neural Network: A Magnitude-Phase Computational Model for Event-Driven Neuromorphic Learning
Reza Ahmadvand, Sarah Safura Sharif, Yaser Mike Banad
Artificial neural networks (ANN) provide accurate continuous-valued representation, whereas spiking neural networks (SNN) offer event-driven temporal processing, yet both paradigms…
Ultra-Low-Power Spiking Neurons in 7 nm FinFET Technology: A Comparative Analysis of Leaky Integrate-and-Fire, Morris-Lecar, and Axon-Hillock Architectures
Logan Larsh, Raiyan Siddique, Sarah Sharif Yaser Mike Banad
Neuromorphic computing aims to replicate the brain's remarkable energy efficiency and parallel processing capabilities for large-scale artificial intelligence applications. In this…
Neuromorphic Digital-Twin-based Controller for Indoor Multi-UAV Systems Deployment
Reza Ahmadvand, Sarah Safura Sharif, Yaser Mike Banad
Presented study introduces a novel distributed cloud-edge framework for autonomous multi-UAV systems that combines the computational efficiency of neuromorphic computing with natur…