6 citations · 12 across the 11 of their papers we have counts for
5 papers · 1 filter
Neuromorphic Deployment of Spiking Neural Networks for Cognitive Load Classification in Air Traffic Control
Jiahui An, Chonghao Cai, Olympia Gallou +3
This paper presents a neuromorphic system for cognitive load classification in a real-world setting, an Air Traffic Control (ATC) task, using a hardware implementation of Spiking N…
Spiking Neural Networks for Mental Workload Classification with a Multimodal Approach
Jiahui An, Sara Irina Fabrikant, Giacomo Indiveri +1
Accurately assessing mental workload is crucial in cognitive neuroscience, human-computer interaction, and real-time monitoring, as cognitive load fluctuations affect performance a…
Finger Force Decoding from Motor Units Activity on Neuromorphic Hardware
Farah Baracat, Giacomo Indiveri, Elisa Donati
Accurate finger force estimation is critical for next-generation human-machine interfaces. Traditional electromyography (EMG)-based decoding methods using deep learning require lar…
Towards spiking analog hardware implementation of a trajectory interpolation mechanism for smooth closed-loop control of a spiking robot arm
Daniel Casanueva-Morato, Chenxi Wu, Giacomo Indiveri +2
Neuromorphic engineering aims to incorporate the computational principles found in animal brains, into modern technological systems. Following this approach, in this work we propos…
A Realistic Simulation Framework for Analog/Digital Neuromorphic Architectures
Fernando M. Quintana, Maryada, Pedro L. Galindo +3
Developing dedicated mixed-signal neuromorphic computing systems optimized for real-time sensory-processing in extreme edge-computing applications requires time-consuming design, f…