activity
20202022
most citedAn Energy-Efficient Spiking Neural Network for Finger Velocity Decoding for Implantable Brain-Machine Interface

25 citations · 31 across the 7 of their papers we have counts for

collaborators

9 papers

eess.SP2022

Nonlinear and Machine Learning Analyses on High-Density EEG data of Math Experts and Novices

Hanna Poikonen, Tomasz Zaluska, Xiaying Wang +2

Current trend in neurosciences is to use naturalistic stimuli, such as cinema, class-room biology or video gaming, aiming to understand the brain functions during ecologically vali…

eess.SP202225 cited

An Energy-Efficient Spiking Neural Network for Finger Velocity Decoding for Implantable Brain-Machine Interface

Jiawei Liao, Lars Widmer, Xiaying Wang +5

Brain-machine interfaces (BMIs) are promising for motor rehabilitation and mobility augmentation. High-accuracy and low-power algorithms are required to achieve implantable BMI sys…

cs.LG20223 cited

Reducing Neural Architecture Search Spaces with Training-Free Statistics and Computational Graph Clustering

Thorir Mar Ingolfsson, Mark Vero, Xiaying Wang +3

The computational demands of neural architecture search (NAS) algorithms are usually directly proportional to the size of their target search spaces. Thus, limiting the search to h…

cs.RO2022

Leveraging Tactile Sensors for Low Latency Embedded Smart Hands for Prosthetic and Robotic Applications

Xiaying Wang, Fabian Geiger, Vlad Niculescu +2

Tactile sensing is a crucial perception mode for robots and human amputees in need of controlling a prosthetic device. Today robotic and prosthetic systems are still missing the im…

cs.RO2021

SmartHand: Towards Embedded Smart Hands for Prosthetic and Robotic Applications

Xiaying Wang, Fabian Geiger, Vlad Niculescu +2

The sophisticated sense of touch of the human hand significantly contributes to our ability to safely, efficiently, and dexterously manipulate arbitrary objects in our environment.…

eess.SP2021

Towards Long-term Non-invasive Monitoring for Epilepsy via Wearable EEG Devices

Thorir Mar Ingolfsson, Andrea Cossettini, Xiaying Wang +5

We present the implementation of seizure detection algorithms based on a minimal number of EEG channels on a parallel ultra-low-power embedded platform. The analyses are based on t…