64 citations · 147 across the 10 of their papers we have counts for
11 papers
Synchrony-Gated Plasticity with Dopamine Modulation for Spiking Neural Networks
Yuchen Tian, Samuel Tensingh, Jason Eshraghian +2
While surrogate backpropagation proves useful for training deep spiking neural networks (SNNs), incorporating biologically inspired local signals on a large scale remains challengi…
Learning with Spike Synchrony in Spiking Neural Networks
Yuchen Tian, Assel Kembay, Samuel Tensingh +3
Spiking neural networks (SNNs) promise energy-efficient computation by mimicking biological neural dynamics, yet existing plasticity rules focus on isolated spike pairs and fail to…
Neuromorphic Neuromodulation: Towards the next generation of on-device AI-revolution in electroceuticals
Luis Fernando Herbozo Contreras, Nhan Duy Truong, Jason K. Eshraghian +4
Neuromodulation techniques have emerged as promising approaches for treating a wide range of neurological disorders, precisely delivering electrical stimulation to modulate abnorma…
Continental generalization of an AI system for clinical seizure recognition
Yikai Yang, Nhan Duy Truong, Christina Maher +2
Electroencephalogram (EEG) monitoring and objective seizure identification is an essential clinical investigation for some patients with epilepsy. Accurate annotation is done throu…
Epileptic Seizure Forecasting: Probabilistic seizure-risk assessment and data-fusion
Nhan Duy Truong, Yikai Yang, Christina Maher +2
Epileptic seizure forecasting, combined with the delivery of preventative therapies, holds the potential to greatly improve the quality of life for epilepsy patients and their care…
Epileptic Seizure Classification with Symmetric and Hybrid Bilinear Models
Tennison Liu, Nhan Duy Truong, Armin Nikpour +2
Epilepsy affects nearly 1% of the global population, of which two thirds can be treated by anti-epileptic drugs and a much lower percentage by surgery. Diagnostic procedures for ep…
Machine Learning Cryptanalysis of a Quantum Random Number Generator
Nhan Duy Truong, Jing Yan Haw, Syed Muhamad Assad +2
Random number generators (RNGs) that are crucial for cryptographic applications have been the subject of adversarial attacks. These attacks exploit environmental information to pre…
Semi-supervised Seizure Prediction with Generative Adversarial Networks
Nhan Duy Truong, Levin Kuhlmann, Mohammad Reza Bonyadi +1
In this article, we propose an approach that can make use of not only labeled EEG signals but also the unlabeled ones which is more accessible. We also suggest the use of data fusi…
A Generalised Seizure Prediction with Convolutional Neural Networks for Intracranial and Scalp Electroencephalogram Data Analysis
Nhan Duy Truong, Anh Duy Nguyen, Levin Kuhlmann +3
Seizure prediction has attracted a growing attention as one of the most challenging predictive data analysis efforts in order to improve the life of patients living with drug-resis…
Supervised Learning in Automatic Channel Selection for Epileptic Seizure Detection
Nhan Truong, Levin Kuhlmann, Mohammad Reza Bonyadi +3
Detecting seizure using brain neuroactivations recorded by intracranial electroencephalogram (iEEG) has been widely used for monitoring, diagnosing, and closed-loop therapy of epil…
Nano-Intrinsic True Random Number Generation
Jeeson Kim, Taimur Ahmed, Hussein Nili +6
Recent advances in predictive data analytics and ever growing digitalization and connectivity with explosive expansions in industrial and consumer Internet-of-Things (IoT) has rais…