Jikai Lu
YOU?
Author Swipe
View article: Phylogenetic relationship analysis of leafhopper subfamily Iassinae (Hemiptera: Cicadellidae) based on low-coverage whole-genome data
Phylogenetic relationship analysis of leafhopper subfamily Iassinae (Hemiptera: Cicadellidae) based on low-coverage whole-genome data Open
Iassinae, a widely distributed group of herbivorous pest insects, is a subfamily of Cicadellidae. Previous studies on the phylogeny of Iassinae were mostly based on morphological characteristics, mitochondrial genomes, and molecular fragme…
View article: The mitochondrial genome sequences of eleven leafhopper species of <i>Batracomorphus</i> (Hemiptera: Cicadellidae: Iassinae) reveal new gene rearrangements and phylogenetic implications
The mitochondrial genome sequences of eleven leafhopper species of <i>Batracomorphus</i> (Hemiptera: Cicadellidae: Iassinae) reveal new gene rearrangements and phylogenetic implications Open
Batracomorphus is the most diverse and widely distributed genus of Iassinae. Nevertheless, there has been no systematic analysis of the genome structure and phylogenetic relationships of the genus. To determine the characteristics of the m…
View article: Compact artificial neuron based on anti-ferroelectric transistor
Compact artificial neuron based on anti-ferroelectric transistor Open
View article: Li‐Ion‐Based Electrolyte‐Gated Transistors with Short Write‐Read Delay for Neuromorphic Computing
Li‐Ion‐Based Electrolyte‐Gated Transistors with Short Write‐Read Delay for Neuromorphic Computing Open
The hardware implementation of artificial neural networks requires synaptic devices with linear and high‐speed weight modulation. Memristors as a candidate suffer from excessive write variation and asymmetric resistance modulation that inh…
View article: FangTianSim: High-Level Cycle-Accurate Resistive Random-Access Memory-Based Multi-Core Spiking Neural Network Processor Simulator
FangTianSim: High-Level Cycle-Accurate Resistive Random-Access Memory-Based Multi-Core Spiking Neural Network Processor Simulator Open
Realization of spiking neural network (SNN) hardware with high energy efficiency and high integration may provide a promising solution to data processing challenges in future internet of things (IoT) and artificial intelligence (AI). Recen…
View article: Compact artificial neuron based on anti-ferroelectric transistor
Compact artificial neuron based on anti-ferroelectric transistor Open
Neuromorphic machines based on spiking neural networks (SNNs) provide a more fascinating platform over traditional computers on building energy-efficient intelligent systems, in which spiking neuron are pivotal components. Recently, memris…