Wei Dai

ORCID: 0000-0001-8278-0159
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About
Contact & Profiles
Research Areas
  • Neuroscience and Neuropharmacology Research
  • Neural dynamics and brain function
  • Neurotransmitter Receptor Influence on Behavior
  • Solar and Space Plasma Dynamics
  • Receptor Mechanisms and Signaling
  • Tryptophan and brain disorders
  • stochastic dynamics and bifurcation
  • Neuroinflammation and Neurodegeneration Mechanisms
  • Solar Radiation and Photovoltaics
  • Computational Physics and Python Applications
  • Advanced Neural Network Applications
  • Radio Astronomy Observations and Technology
  • Higher Education Research Studies
  • Image and Signal Denoising Methods
  • Medical Image Segmentation Techniques
  • Domain Adaptation and Few-Shot Learning
  • Drug Transport and Resistance Mechanisms
  • Psychedelics and Drug Studies
  • Photoacoustic and Ultrasonic Imaging
  • Image Enhancement Techniques
  • Advanced Thermodynamics and Statistical Mechanics
  • Innovative Teaching Methodologies in Social Sciences
  • Stress Responses and Cortisol
  • Photovoltaic System Optimization Techniques
  • Alzheimer's disease research and treatments

First Affiliated Hospital of Guangzhou Medical University
2021-2024

Guangzhou Medical University
2021-2024

Northwestern Polytechnical University
2023

Shanghai Jiao Tong University
2018-2022

Kunming University of Science and Technology
2022

Academy of Military Medical Sciences
2022

Shanghai First People's Hospital
2022

Princeton University
2021

Background: Psilocybin offers new hope for treating mood disorders due to its rapid and sustained antidepressant effects, as standard medications require weeks or months exert their effects. However, the mechanisms underlying this action of psilocybin have not been identified. Aims: To investigate whether has antidepressant-like effects in mice potential are related promoted neuroplasticity. Methods: We first examined normal by forced swimming test chronic corticosterone (CORT)-exposed...

10.1177/02698811241249436 article EN Journal of Psychopharmacology 2024-04-28

Abstract Galaxy morphology reflects structural properties that contribute to the understanding of formation and evolution galaxies. Deep convolutional networks have proven be very successful in learning hidden features allow for unprecedented performance morphological classification Such mostly follow supervised paradigm, which requires sufficient labeled data training. However, labeling a million galaxies is an expensive complicated process, particularly forthcoming survey projects. In this...

10.1088/1538-3873/aca04e article EN Publications of the Astronomical Society of the Pacific 2022-11-01

Abstract It has been difficult to achieve a suitable balance between effectiveness and efficiency in lightweight semantic segmentation networks recent years. The goal of this work is present an efficient reliable method called EBUNet, which aimed at achieving favorable trade-off inference speed prediction accuracy. Initially, we develop Efficient Bottleneck Unit (EBU) that employs depth-wise convolution dilated obtain adequate features with moderate computation costs. Then, developed novel...

10.1007/s40747-023-01054-y article EN cc-by Complex & Intelligent Systems 2023-04-17

Background: Triggering receptor expressed on myeloid cells 2 (TREM2) is a microglial exclusively in the central nervous system (CNS). It contributes to abnormal protein aggregation neurodegenerative disorders, but its role Parkinson's disease (PD) still unclear. Methods: In this case-control study, we measured concentration of soluble fragment TREM2 (sTREM2) PD patients, evaluated their sleep conditions by scale (PDSS), and analyzed relationship between sTREM2 symptoms. Results: We recruited...

10.3389/fnagi.2021.753210 article EN cc-by Frontiers in Aging Neuroscience 2021-09-29

Background: Peri-prosthetic joint infection (PJI) has long been a devastating complication after total knee arthroplasty (TKA), with native skin flora always identified as the causative agents. The aim of this study was to investigate efficacy pre-admission use chlorhexidine-impregnated gauze for pre-operative preparation on rates primary TKA surgeries. Patients and Methods: undergoing TKAs performed from January 2017 until 2021 were prospectively recruited. experimental group included...

10.1089/sur.2022.177 article EN Surgical Infections 2022-09-06

Recent experiments have shown that mouse primary visual cortex (V1) is very different from of cat or monkey, including response properties—one which contrast invariance in the orientation selectivity (OS) neurons’ firing rates replaced with contrast-dependent sharpening (broadening) OS excitatory (inhibitory) neurons. These differences indicate a circuit design for V1 than monkey. Here we develop large-scale computational model an effective input layer V1. Constrained by experiment data,...

10.1073/pnas.1719044115 article EN cc-by-nc-nd Proceedings of the National Academy of Sciences 2018-10-18

It is hypothesized that cortical neuronal circuits operate in a global balanced state, i.e., the majority of neurons fire irregularly by receiving inputs excitation and inhibition. Meanwhile, it has been observed experiments sensory information often sparsely encoded only small set firing neurons, while rest network are silent. The phenomenon sparse coding challenges hypothesis state brain. To reconcile this, here we address issue whether can exist number taking account heterogeneity...

10.3389/fncom.2018.00109 article EN cc-by Frontiers in Computational Neuroscience 2019-01-28

Abstract Galaxy mergers exert a pivotal influence on the evolutionary trajectory of galaxies and expansive development cosmic structures. The primary challenge encountered in machine learning–based identification merging arises from scarcity meticulously labeled data sets specifically dedicated to galaxies. In this paper, we propose novel framework utilizing few-shot learning techniques identify galaxy Legacy Surveys. Few-shot enables effective classification even when confronted with...

10.3847/1538-4365/ad66ca article EN cc-by The Astrophysical Journal Supplement Series 2024-09-17

A Correction to this paper has been published: https://doi.org/10.1038/s41467-021-22219-8

10.1038/s41467-021-22219-8 article EN cc-by Nature Communications 2021-03-15

Background: Intracerebral translocator protein 18 kDa (TSPO) mediates the transport of cholesterol from cytoplasm to mitochondria and activation microglia. The change TSPO dysfunction microglia are closely related pathogenesis Alzheimer’s disease (AD). Aims: This study aimed investigate effects microglial its selective ligand YL-IPA08 on cognitive function transgenic mice in 5 × familial (FAD) mouse model AD. Methods: knockout FAD were bred, tested by Morris water maze. abilities expression...

10.1177/02698811221122008 article EN Journal of Psychopharmacology 2022-09-07

The balance between excitation and inhibition is crucial for neuronal computation. It observed that the balanced state of networks exists in many experiments, yet its underlying mechanism remains to be fully clarified. Theoretical studies mainly focus on analysis homogeneous Erd$\ddot{\text{o}}$s-Rényi network. However, have been found inhomogeneous cortical areas. In particular, connectivity can type scale-free, small-world, or even with specific motifs. this work, we examine questions...

10.48550/arxiv.1710.05201 preprint EN other-oa arXiv (Cornell University) 2017-01-01

Abstract TSPO, an 18 kDa translocator protein, has received increased attention due to its antidepressant-anxiolytic effects. The balance between glutamatergic and GABAergic (E: I) in the medial prefrontal cortex (mPFC) is crucial for However, no evidence available clarify relationship TSPO E:I balance. In present study, we used global-knockout (KO) wild-type (WT) mice assess effects of on YL-IPA08 (a novel ligand) underlying neurobiological mechanism. Additionally, a multichannel...

10.21203/rs.3.rs-1379416/v1 preprint EN cc-by Research Square (Research Square) 2022-02-22
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