Area of research
Electrical and Electronic Engineering · Cognitive Neuroscience
Research interest
Research interests include Computer science, Spiking neural network, Artificial intelligence, Artificial neural network, Neuromorphic engineering, and Backpropagation.
Spiking Neural Networks With Adaptive Membrane Time Constant for Event-Based Tracking
Efficient and robust temporal processing with neural oscillations modulated spiking neural networks
Efficient spiking neural network design via neural architecture search
Seeing What You Said: Talking Face Generation Guided by a Lip Reading Expert
Rectified Linear Postsynaptic Potential Function for Backpropagation in Deep Spiking Neural Networks
Northumbria Research Link (Northumbria University) 2022cited by 49position: first
A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks
Progressive Tandem Learning for Pattern Recognition With Deep Spiking Neural Networks
Multi-Tone Phase Coding of Interaural Time Difference for Sound Source Localization With Spiking Neural Networks
Deep Spiking Neural Networks for Large Vocabulary Automatic Speech Recognition
Supervised learning in spiking neural networks with synaptic delay-weight plasticity
A Spiking Neural Network Framework for Robust Sound Classification
Supervised learning in spiking neural networks with noise-threshold
An Efficient Supervised Training Algorithm for Multilayer Spiking Neural Networks