A5100629506- Neural dynamics and brain function
- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
- stochastic dynamics and bifurcation
- Photoreceptor and optogenetics research
- Nonlinear Dynamics and Pattern Formation
- Neurological disorders and treatments
- Memory and Neural Mechanisms
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Parkinson's Disease Mechanisms and Treatments
- Remote Sensing and Land Use
- Spaceflight effects on biology
- Environmental Changes in China
- Electrochemical Analysis and Applications
- Opinion Dynamics and Social Influence
- Optical Imaging and Spectroscopy Techniques
- Urban Heat Island Mitigation
- Circadian rhythm and melatonin
- Healthcare Systems and Reforms
- Control Systems and Identification
- Generative Adversarial Networks and Image Synthesis
- Dust and Plasma Wave Phenomena
- Environmental Quality and Pollution
- Tribology and Wear Analysis
Northwestern Polytechnical University
2017-2025
Ministry of Industry and Information Technology
2022-2025
Amazon (United States)
2022-2024
Nanchang University
2021
Columbia University
2017-2020
Tsinghua University
2015
Beihang University
2011-2014
Abstract Based on rodent models, researchers have theorized that the hippocampus supports episodic memory and navigation via theta oscillation, a ~4–10 Hz rhythm coordinates brain-wide neural activity. However, recordings from humans indicated hippocampal oscillations are lower in frequency less prevalent than rodents, suggesting interspecies differences theta’s function. To characterize human theta, we examine properties of throughout anterior–posterior length as neurosurgical subjects...
Abstract. Understanding urban vertical structures, particularly building heights, is essential for examining the intricate interaction between humans and their environment. Such datasets are indispensable a variety of applications, including climate modeling, energy consumption analysis, socioeconomic activities. Despite importance this information, previous studies have primarily focused on estimating heights regionally at grid scale, often resulting in with limited coverage or spatial...
The frequently changing user preferences and/or item profiles have put essential importance on the dynamic modeling of users and items in personalized recommender systems. However, due to insufficiency per user/item records when splitting already sparse data across time dimension, previous methods restrict drifting purchasing patterns pre-assumed distributions, were hardly able model them rather directly with, for example, series analysis. Integrating content information helps alleviate...
We study the effect of heterogeneous neuron and information transmission delay on stochastic resonance scale-free neuronal networks. For this purpose, we introduce heterogeneity to specified with highest degree. It is shown that in absence delay, an intermediate noise level can optimally assist spike firings collective neurons so as achieve networks for small αh, which plays a role. Maxima measure are enhanced αh increases, implies improve resonance. However, beyond certain large value, no...
Although the electroencephalogram (EEG) activity of Autism Spectrum Disorder (ASD) has extremely complicated dynamics, basic research on its dynamic modeling remains unexplored. This paper aims to investigate mechanisms underlying EEG abnormalities in ASD from perspective modeling, and delve into therapeutic principles neuromodulation. First, by adjusting average inhibitory synaptic gain excitatory connection strength Wendling model, we reproduce clinical characteristics ASD, including...
In addition to inhibitory interneurons, there exist excitatory interneurons (EINs) in the cortex, which mainly have projections pyramidal neurons. this study, we improve a thalamocortical model by introducing EIN, investigate dominant role of EIN generating spike and slow wave discharges (SWDs), consider non-rectangular pulse control absence seizures. First, display here that improved can reproduce typical SWDs Moreover, focus on function means bifurcation analysis find induce transition...
This paper attempts to explore and compare the regulatory mechanisms of optogenetic stimulation (OS), deep brain (DBS) electromagnetic induction on epilepsy. Based Wilson-Cowan model, we first demonstrate that external input received by excitatory inhibitory neural populations can induce rich dynamic bifurcation behaviors such as Hopf bifurcation, make system exhibit epileptic normal states. Then, both OS DBS are shown be effective in controlling state a low-level state, stimulus parameters...
Abstract To support a range of behaviors, the brain must flexibly coordinate neural activity across widespread regions. One potential mechanism for this coordination is traveling wave, in which oscillation propagates while organizing order and timing regions 1,2 . Although waves are present various species 3–5 , their functional relevance remained unknown. Here, using rare direct human recordings, we demonstrate two novel roles theta- alpha-band (2–13 Hz) oscillations cortex. First,...
The focus of this paper is to investigate the dynamics seizure activities by using Epileptor coupled model. Based on coexistence seizure-like event (SLE), refractory status epilepticus (RSE), depolarization block (DB), and normal state, we first study dynamical behaviors two oscillators in different activity states with model linking them slow permittivity coupling. Our research has found that when one oscillator any SLE, RSE or DB states, these can both evolve into SLE under appropriate...
Experimental studies have shown that neuron population located in the basal ganglia of parkinsonian primates can exhibit characteristic firings with certain firing rates differing from normal brain activities. Motivated by recent experimental findings, we investigate effects various stimulation paradigms on parkinsonism based proposed dynamical models. Our results show closed-loop deep is superior ameliorating behaviors parkinsonism, and other control strategies similar according to...
This paper aims to establish a coupling model of neuronal populations and astrocytes and, on this basis, explore the possible mechanism electroencephalography (EEG) slowing in Alzheimer's disease (AD) from viewpoint dynamical modeling. First foremost, excitatory inhibitory time constants are shown induce early symptoms AD. The corresponding dynamic nature is mainly due changes amplitude frequency oscillatory behavior. However, there also few cases that can be attributed change oscillation...