A5100355398- Neuroscience and Neural Engineering
- Neural dynamics and brain function
- Neurological disorders and treatments
- stochastic dynamics and bifurcation
- Advanced Memory and Neural Computing
- EEG and Brain-Computer Interfaces
- Parkinson's Disease Mechanisms and Treatments
- Neuroscience and Neuropharmacology Research
- Nonlinear Dynamics and Pattern Formation
- Blind Source Separation Techniques
- Endometrial and Cervical Cancer Treatments
- HER2/EGFR in Cancer Research
- Chaos control and synchronization
- Gastric Cancer Management and Outcomes
- Acupuncture Treatment Research Studies
- Autophagy in Disease and Therapy
- Monoclonal and Polyclonal Antibodies Research
- Chronic Kidney Disease and Diabetes
- Dialysis and Renal Disease Management
- Brain Tumor Detection and Classification
- Smart Agriculture and AI
- Metabolomics and Mass Spectrometry Studies
- Functional Brain Connectivity Studies
- Photoreceptor and optogenetics research
- Ocular Surface and Contact Lens
Shenzhen KangNing Hospital
2024-2025
Tianjin University of Technology and Education
2015-2024
University of Shanghai for Science and Technology
2024
University of Guelph
2023
Harbin Medical University
2011-2023
Third Affiliated Hospital of Harbin Medical University
2018-2023
First Affiliated Hospital Zhejiang University
2023
Xuzhou Medical College
2023
Creative Commons
2023
Christie's
2023
Multicompartment emulation is an essential step to enhance the biological realism of neuromorphic systems and further understand computational power neurons. In this paper, we present a hardware efficient, scalable, real-time computing strategy for implementation large-scale biologically meaningful neural networks with one million multi-compartment neurons (CMNs). The platform uses four Altera Stratix III field-programmable gate arrays, both cellular network levels are considered, which...
Macroautophagy/autophagy protects against cellular stress. Renal sublethal injury-triggered tubular epithelial cell cycle arrest at G2/M is associated with interstitial fibrosis. However, the role of autophagy in renal fibrosis elusive. Here, we hypothesized that activity cells pivotal for inhibition and subsequent fibrogenic response. In both stimulated by angiotensin II (AGT II) murine kidney after unilateral ureteral obstruction (UUO), observed occurrence preceded increased production...
Abstract G2/M-arrested proximal tubular epithelial cells (TECs) after renal injury are linked to increased cytokines production. ATG5-mediated autophagy in TECs has recently been shown protect against G2/M cell cycle arrest and fibrosis. However, the impacts of regulating inflammatorily response mounted by injured remains largely unknown. In present study, we investigated whether ATG5 acts as an innate immune suppressor during kidney injury. Using unilateral ureteric obstruction model...
The further exploration of the neural mechanisms underlying biological activities human brain depends on development large-scale spiking networks (SNNs) with different categories at levels, as well corresponding computing platforms. Neuromorphic engineering provides approaches to high-performance biologically plausible computational paradigms inspired by systems. In this article, we present a biological-inspired cognitive supercomputing system (BiCoSS) that integrates multiple granules (GRs)...
The investigation of the human intelligence, cognitive systems and functional complexity brain is significantly facilitated by high-performance computational platforms. In this paper, we present a real-time digital neuromorphic system for simulation large-scale conductance-based spiking neural networks (LaCSNN), which has advantages both high biological realism large network scale. Using system, detailed cortico-basal ganglia-thalamocortical loop simulated using scalable 3-D network-on-chip...
HER2-positive gastroesophageal adenocarcinomas (GEAs) are common cancers with high mortality and the treatment options for advanced/metastatic disease limited. Zanidatamab tislelizumab novel monoclonal antibodies targeting HER2 PD-1, respectively, have shown encouraging antitumor activity in early phase studies multiple cancers, including GEA. Preliminary data suggest that dual of PD-1 pathways could further improve upon results achieved either pathway alone. Here, we describe design...
Background Abnormal serum potassium is associated with an increased risk of mortality in dialysis patients. However, the impacts levels on short- and long-term association variability death peritoneal (PD) patients are uncertain. Methods We examined mortality-predictability at baseline its PD treated our center January 2006 through December 2010 follow-up 2012. The hazard ratios (HRs) were used to assess relationship between short-term (≤1 year) as well (>1 survival. Variability was defined...
Cervical cancer is a clinical and pathological heterogeneity disease, which requires different types of treatments leads to variety outcomes.
In this letter, a novel hierarchical sparse representation-based classification (HSRC) for synthetic aperture radar (SAR) images is proposed. Features utilized in HSRC are extracted from the multisize patches around each pixel to precisely describe complex terrains. Two thresholds introduced representation classifier restrict range of reconstruction residual, which classifies reliable classified points, and rest pixels considered as uncertain ones original SAR image. Then, new dictionary...
One of the challenging problems in real-time control movement disorders is effective handling time-variant brain activities that involve stochastic functional networks with nonlinear dynamics. For such challenges neuromodulation tasks, fuzzy logic (FLC) has shown significant potential. The objective this paper to present a FLC-based strategy treat pathological symptoms movement-disorder higher performance. two-fold: first, develop design methodology for FLC system can robustly conditions and...
A significant feature of Parkinson's disease (PD) is the inability thalamus to respond faithfully sensorimotor information from cerebral cortex. This may be result abnormal oscillations in basal ganglia (BG). Deep brain stimulation (DBS) regarded as an effective method modulate these pathological rhythmic activities. However, selection DBS parameters challenging because mechanism not well understood. work proposes design a closed-loop control strategy automatically adjust waveform based on...
In this paper, effects of noise on Watts-Strogatz small-world neuronal networks, which are stimulated by a subthreshold signal, have been investigated. With the numerical simulations, it is surprisingly found that there exist several optimal intensities at signal can be detected efficiently. This indicates occurrence stochastic multiresonance in studied networks. Moreover, revealed has close relationship with period Te and noise-induced mean networks T0. detail, we find could induce to...
A generalized predictive closed-loop control strategy to improve the basal ganglia activity patterns in Parkinson's disease (PD) is explored this paper. Based on system identification, an input-output model established reveal relationship between external stimulation and neuronal responses. The contributes implementation of (GPC) algorithm that generates optimal waveform modulate activities nuclei. By analyzing roles two critical parameters within GPC law, has capability restoring normal...
The objective here is to explore the use of adaptive input-output feedback linearization method achieve an improved deep brain stimulation (DBS) algorithm for closed-loop control Parkinson's state. law based on a highly nonlinear computational model disease (PD) with unknown parameters. restoration thalamic relay reliability formulated as desired outcome methodology, and DBS waveform input. input adjusted in real time according estimates parameters well signal. Simulation results show that...
Epilepsy is a chronic disorder of the central nervous system. Accurate prediction seizures using patient's scalp EEG signal great importance in clinical practice. This paper proposed personalized seizure model based on Vision Transformer. First, raw each patient for CHB-MIT was filtered and preictal interictal periods were extracted labelling. Then, processed transformed into two-dimensional spectrograms by means short-time Fourier transform(STFT). Finally, are fed Transformer to complete...