A5100357824- Advanced Memory and Neural Computing
- Neural dynamics and brain function
- Ferroelectric and Negative Capacitance Devices
- Neural Networks and Reservoir Computing
- Photoreceptor and optogenetics research
- Neural Networks and Applications
- Electronic and Structural Properties of Oxides
- Machine Learning and ELM
- Advancements in Battery Materials
- Hydrogen Storage and Materials
- Invertebrate Immune Response Mechanisms
- Neuroscience and Neural Engineering
- Advanced Adaptive Filtering Techniques
- CCD and CMOS Imaging Sensors
- Silk-based biomaterials and applications
- Blind Source Separation Techniques
- Photonic and Optical Devices
- Heusler alloys: electronic and magnetic properties
- Advanced Image Fusion Techniques
- Plant and animal studies
- Advanced Fiber Optic Sensors
- Power System Optimization and Stability
- stochastic dynamics and bifurcation
- Viral Infectious Diseases and Gene Expression in Insects
- Advanced Chemical Sensor Technologies
University of Twente
2020-2024
Southwest University
2011-2024
State Key Laboratory of Silkworm Genomic Biology
2019
Xidian University
2013
Nanyang Technological University
2011
North China Electric Power University
2010
Abstract A sulfonated polyaniline (SPAN) organic electrochemical network device (OEND) is fabricated using a simple drop‐casting method on multiple Au electrodes for use in reservoir computing (RC). The SPAN has humidity‐dependent electrical properties. Under high humidity, the OEND exhibits mainly ionic conduction, including charging of an electric double layer and diffusion. nonlinearity hysteresis current–voltage characteristics progressively increase with increasing humidity. rich...
Abstract Brain-inspired computing is a growing and interdisciplinary area of research that investigates how the computational principles biological brain can be translated into hardware design to achieve improved energy efficiency. encompasses various subfields, including neuromorphic in-memory computing, have been shown outperform traditional digital in executing specific tasks. With rising demand for more powerful yet energy-efficient large-scale artificial neural networks , brain-inspired...
A new dye-sensitized solar cell based on a thermoelectric Bi2Te3/TiO2 composite anode is demonstrated, in which the incorporated Bi2Te3 nanoplates function as built-in nanoscale electron generators to convert "waste heat" electricity and good photoreaction catalyst enhance charge transfer rate, resulting 28% improvement of overall power conversion efficiency.
Spiking neural networks (SNNs) are promising in energy-efficient brain-inspired devices for their rich spatio-temporal dynamics, bio-plausible encoding, and event-driven information processing. However, the existing SNNs image classification have fixed firing thresholds neurons do not consider adaptive properties of neurons. In this paper, we propose a high-performance spiking network composed with spike frequency adaptation (SFA-SNN). We replace threshold dynamic incorporate them into...
Noise exists in nearly all physical systems ranging from simple electronic devices such as transistors to complex neural networks. To understand a system's behavior, it is vital know the origin of noise and its characteristics. Recently, was shown that nonlinear properties disordered dopant atom network silicon can be exploited for efficiently executing classification tasks through “material learning.” Here, we study network's intrinsic 1/ f arising Coulomb interactions, impact on features...
Gas detection plays different roles in environments. Traditional algorithms implemented on electronic nose for gas and recognition have high complexity cannot resist device drift. In response to the above issues, we propose a convolutional neural network based memristive Stochastic Computing (SC), which combines characteristics of small devices low power consumption memristor devices, as well fast fault-tolerant random calculation speed. It can effectively utilize hardware advantages,...
Bombyx mori nucleopolyhedrovirus (BmNPV) is one of the primary pathogens that causes severe economic losses to sericulture. Comparative transcriptomics analysis has been widely applied explore antiviral mechanism in resistant strains. Here, identify genes involved BmNPV infection, we identified differentially expressed (DEGs) and performed weighted gene co-expression network (WGCNA) between two strains: strain 871 (susceptible infection) near-isogenic 871C (resistant BmNPV). Our results...
It is usually imperfect for the traditional algorithm of mathematical programming when it used to analyze optimal power flow (OPF) issues. A new model differential evolutionary has been developed in this paper through combining modern intelligent optimization algorithms, such as evolution (DE), simulated annealing (SA) and tabu search (TS). Concerning IEEE6, IEEE30bus system flow, simulation case study shows that novel hybrid a better global capability.
In recent years, spiking neural networks (SNNs) have received increasing attention of research in the field artificial intelligence due to their high biological plausibility, low energy consumption, and abundant spatio-temporal information. However, non-differential spike activity makes SNNs more difficult train supervised training. Most existing methods focusing on introducing an approximated derivative replace it, while they are often based static surrogate functions. this paper, we...
Recent Vision Transformer Compression (VTC) works mainly follow a two-stage scheme, where the importance score of each model unit is first evaluated or preset in submodule, followed by sparsity evaluation according to target constraint. Such separate process induces gap between and distributions, thus causing high search costs for VTC. In this work, time, we investigate how integrate evaluations scores into single stage, searching optimal subnets an efficient manner. Specifically, present...