8 papers
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…
A Unified Phase-native Computational Principle Governs Hippocampal Spike Timing and Neural Coding
Reza Ahmadvand, Sara Safura Sharif, Yaser Mike Banad
Hippocampal neurons exhibit precise phase locking to network oscillations, but the computational principle governing this temporal precision is still unclear. Neural information is…
Event-based Heterogeneous Information Processing for Online Vision-based Obstacle Detection and Localization
Reza Ahmadvand, Sarah Safura Sharif, Yaser Mike Banad
This paper introduces a novel framework for robotic vision-based navigation that integrates Hybrid Neural Networks (HNNs) with Spiking Neural Network (SNN)-based filtering to enhan…
Novel Pigeon-inspired 3D Obstacle Detection and Avoidance Maneuver for Multi-UAV Systems
Reza Ahmadvand, Sarah Safura Sharif, Yaser Mike Banad
Recent advances in multi-agent systems manipulation have demonstrated a rising demand for the implementation of multi-UAV systems in urban areas, which are always subjected to the…
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…
Swarm Intelligence in Collision-free Formation Control for Multi-UAV Systems with 3D Obstacle Avoidance Maneuvers
Reza Ahmadvand, Sarah Sharif, Yaser Banad
Recent advances in multi-agent systems manipulation have demonstrated a rising demand for the implementation of multi-UAV systems in urban areas which are always subjected to the p…