Area of research
Electrical and Electronic Engineering · Cognitive Neuroscience
Research interest
Research focused on Spike (software development) and Spiking neural network, with related work in Hyperuricemia, Learning rule, Artificial intelligence. Notable publications include 'Precise-Spike-Driven Synaptic Plasticity: Learning Hetero-Association of Spatiotemporal Spike Patterns', 'Rapid Feedforward Computation by Temporal Encoding and Learning With Spiking Neurons', and 'A brain-inspired spiking neural network model with temporal encoding and learning'.
Interactions between long- and short-term synaptic plasticity transform temporal neural representations into spatial
Simulated annealing algorithm-assisted SCAPS-1D design enables 27.04 % efficiency in dual-absorber perovskite solar cells
Lacticaseibacillus rhamnosus NCUH061012 alleviates hyperuricemia via modulating gut microbiota and intestinal metabolites in mice
Lactic acid bacteria with anti-hyperuricemia ability: Screening in vitro and evaluating in mice
Spike Timing or Rate? Neurons Learn to Make Decisions for Both Through Threshold-Driven Plasticity
A Spiking Neural Network System for Robust Sequence Recognition
A brain-inspired spiking neural network model with temporal encoding and learning
Precise-Spike-Driven Synaptic Plasticity: Learning Hetero-Association of Spatiotemporal Spike Patterns
Rapid Feedforward Computation by Temporal Encoding and Learning With Spiking Neurons