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Exploring neuromorphic computing based on spiking neural networks: Algorithms to hardware
N Rathi, I Chakraborty, A Kosta, A Sengupta… - ACM Computing …, 2023 - dl.acm.org
Neuromorphic Computing, a concept pioneered in the late 1980s, is receiving a lot of
attention lately due to its promise of reducing the computational energy, latency, as well as …
attention lately due to its promise of reducing the computational energy, latency, as well as …
Deep learning for healthcare applications based on physiological signals: A review
O Faust, Y Hagiwara, TJ Hong, OS Lih… - Computer methods and …, 2018 - Elsevier
Background and objective: We have cast the net into the ocean of knowledge to retrieve the
latest scientific research on deep learning methods for physiological signals. We found 53 …
latest scientific research on deep learning methods for physiological signals. We found 53 …
[HTML][HTML] Neural interface systems with on-device computing: machine learning and neuromorphic architectures
Highlights•Neural interfaces continue to improve in channel count and form factor.•Low-
power machine learning and neuromorphic processors can be integrated onto neural …
power machine learning and neuromorphic processors can be integrated onto neural …
Seizure forecasting from idea to reality. Outcomes of the my seizure gauge epilepsy innovation institute workshop
SB Dumanis, JA French, C Bernard, GA Worrell… - Eneuro, 2017 - eneuro.org
Abstract The Epilepsy Innovation Institute (Ei2) is a new research program of the Epilepsy
Foundation designed to be an innovation incubator for epilepsy. Ei2 research areas are …
Foundation designed to be an innovation incubator for epilepsy. Ei2 research areas are …
[کتاب][B] Integration of IoT with cloud computing for smart applications
Integration of IoT with Cloud Computing for Smart Applications provides an integrative
overview of the Internet of Things (IoT) and cloud computing to be used for the various …
overview of the Internet of Things (IoT) and cloud computing to be used for the various …
Building integrated systems for healthcare considering mobile computing and IoT
The healthcare industry stands to be profoundly impacted by the dramatic advances that
mobile computing and the Internet of Things (IoT) can bring. The IoT and mobile computing …
mobile computing and the Internet of Things (IoT) can bring. The IoT and mobile computing …
A robust low-cost EEG motor imagery-based brain-computer interface
SAC Yohanandan, I Kiral-Kornek… - 2018 40th Annual …, 2018 - ieeexplore.ieee.org
Motor imagery (MI) based Brain-Computer Interfaces (BCIs) are a viable option for giving
locked-in syndrome patients independence and communicability. BCIs comprising …
locked-in syndrome patients independence and communicability. BCIs comprising …
Machine learning in healthcare: A review
A Saini, AJ Meitei, J Singh - Proceedings of the international …, 2021 - papers.ssrn.com
This study attempts to introduce artificial intelligence and its significant subfields in machine
learning algorithms and reviews the role of these subfields in various areas in healthcare …
learning algorithms and reviews the role of these subfields in various areas in healthcare …
Denoising algorithm for event-related desynchronization-based motor intention recognition in robot-assisted stroke rehabilitation training with brain-machine …
Background Rehabilitation robots integrated with brain-machine interaction (BMI) can
facilitate stroke patients' recovery by closing the loop between motor intention and actual …
facilitate stroke patients' recovery by closing the loop between motor intention and actual …
Advanced computing and related applications leveraging brain-inspired spiking neural networks
L Sima, J Bucukovski, E Carlson, NL Yien - arxiv preprint arxiv …, 2023 - arxiv.org
In the rapid evolution of next-generation brain-inspired artificial intelligence and increasingly
sophisticated electromagnetic environment, the most bionic characteristics and anti …
sophisticated electromagnetic environment, the most bionic characteristics and anti …