A5100418199- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Advanced Memory and Neural Computing
- Functional Brain Connectivity Studies
- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
- Neuroscience and Neuropharmacology Research
- stochastic dynamics and bifurcation
- Machine Learning in Bioinformatics
- Solar Thermal and Photovoltaic Systems
- solar cell performance optimization
- Energy, Environment, Agriculture Analysis
- Neural Networks and Applications
- Photovoltaic System Optimization Techniques
- Genetics and Neurodevelopmental Disorders
- Genetic Neurodegenerative Diseases
- Regulation of Appetite and Obesity
- Structural Engineering and Vibration Analysis
- Muscle activation and electromyography studies
- Animal Behavior and Reproduction
- Cognitive Science and Education Research
- Animal Vocal Communication and Behavior
- Neuropeptides and Animal Physiology
- Ubiquitin and proteasome pathways
- Discourse Analysis in Language Studies
East China University of Science and Technology
2016-2023
Wenzhou Medical University
2022
First Affiliated Hospital of Wenzhou Medical University
2022
Brown University
2018
National Taiwan University
2017
Peking University
2011
Electrical activity is the foundation of neural system. Coding theories that describe electrical by roles action potential timing or frequency have been thoroughly studied. However, an alternative method to study coding questions energy method, which more global and economical. In this study, we clearly defined calculated supply consumption based on Hodgkin-Huxley model, during firing potentials subthreshold activities using ion-counting power-integral model. Furthermore, analyzed properties...
The mechanisms of task-positive and task-negative activations are basic elements for exploring cognitive functions, impairment which would trigger degenerative neurological diseases. Our research group combined the default mode network (DMN) with working memory model, chosen as task positive (TPN), to carry out computational simulation under various stimulus conditions. paper has demonstrated following results: 1) (TPN) networks (TNN) represented antagonistic neural activities; 2) degree...
Major depressive disorder (MDD) is a serious psychiatric disorder, with an increasing incidence in recent years. The abnormal dopaminergic pathways of the midbrain cortical and limbic system are key pathological regions MDD, particularly ventral tegmental area- nucleus accumbens- medial prefrontal cortex (VTA-NAc-mPFC) neural circuit. MDD usually occurs dysfunction neurons VTA, which decreases dopamine concentration metabolic rate NAc/mPFC brain regions. However, it has not been fully...
We have developed an isolated-type hybrid solar PV system (HyPV) operating under stand-alone mode or grid mode, interchangeably by ATS (automatic transform switch) [1]. No power is fed to grid. The energy generation efficiency of HyPV actually the same as which usually lower than that FIT (feed-in-tariff) systems (feeding all for tariff through a MPPT/inverter) due unbalance between battery storage capacity and variations radiation load demand. In present study, we has shown from long-term...
The transformation of the information stored in working memory into system long-term depends on physiological mechanism, potential (LTP). In a large number experimental studies, theta-burst stimulation (TBS) and high-frequency (HFS) are LTP induction protocols. However, they have not been adapted to model related memory. this paper, improved Camperi-Wang (C-W) with Ca(2+) subsystem-induced bi-stability was adopted, TBS HFS were simulated act as initial stimuli model. Evaluating influence...
Recent machine learning techniques have become a powerful tool in variety of tasks, including neural decoding. Deep networks, particularly recurrent models, leverage the temporal evolution ensemble activity to decode complex movement and sensory signals. Using single-unit recordings from microelectrode arrays implanted leg area primary motor cortex non-human primates, we positions angles hindlimb joints during locomotion task using long short-term memory (LSTM) network. The LSTM decoder...
Abstract Neural activity alters with the changes in cerebral blood flow (CBF) and oxygen saturation. Despite that these can be detected functional magnetic resonance imaging (fMRI), underlying physiological mechanism remains obscure. Upon activation of specific brain region, CBF increases substantially, albeit 6–8 s delay. Neuroscience has no scientific explanation for this experimental discovery yet. This study proposed a generating hemodynamic phenomena from perspective energy metabolism....
Abstract Background CWF19L1 i s responsible for spinocerebellar ataxia, autosomal recessive 17, which presents with cerebellar and atrophy. Here, we report novel compound heterozygous variants of in a Chinese family progressive ataxia mental retardation unknown etiology by analyzing clinical characteristics genetic variations. Methods Clinical profiles genomic DNA extracts members were collected. Whole‐exome Sanger sequencing performed to detect associated variants. Pathogenicity prediction...
This review article systematically summarizes the neural energy theory and methods proposed by our team in field of brain science, internal relationship between mechanics theory. paper introduces how to construct an equivalent W-Z neuron model with H-H using idea analytic dynamics. Based on this, a large-scale as core theoretical framework global coding are neuroscience. The unique functions advantages this novel confirmed aspects information processing, including visual perception,...