A5112762772- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Neuroscience and Neuropharmacology Research
- EEG and Brain-Computer Interfaces
- Neuroscience and Neural Engineering
- Visual perception and processing mechanisms
- Anomaly Detection Techniques and Applications
- Memory and Neural Mechanisms
- stochastic dynamics and bifurcation
- Advanced Memory and Neural Computing
- Traumatic Brain Injury Research
- Domain Adaptation and Few-Shot Learning
- Human Pose and Action Recognition
- Phytochemistry and Bioactivity Studies
- Wireless Body Area Networks
- Advanced Neuroimaging Techniques and Applications
- Human-Animal Interaction Studies
- Neural and Behavioral Psychology Studies
- Advanced Thermodynamics and Statistical Mechanics
- Phytochemistry and Biological Activities
- Advanced Neural Network Applications
- Attention Deficit Hyperactivity Disorder
- Primate Behavior and Ecology
- Atomic and Subatomic Physics Research
- Ion channel regulation and function
Institute of Automation
2015-2025
Chinese Academy of Sciences
2016-2025
University of Chinese Academy of Sciences
2014-2024
Center for Excellence in Brain Science and Intelligence Technology
2016-2024
National Institutes of Health
2020-2024
Beijing Academy of Artificial Intelligence
2022-2024
Shandong Institute of Automation
2016-2024
National Institute of Mental Health
2010-2024
Harbin Medical University
2022-2024
Second Affiliated Hospital of Harbin Medical University
2022-2024
The repertoire of neural activity patterns that a cortical network can produce constrains the ability to transfer and process information. Here, we measured obtained from multisite local field potential recordings in cortex cultures, urethane-anesthetized rats, awake macaque monkeys. First, quantified information capacity pattern ongoing stimulus-evoked using Shannon entropy. Next, efficacy transmission between stimulus response mutual By systematically changing ratio excitation/inhibition...
A small-world network has been suggested to be an efficient solution for achieving both modular and global processing—a property highly desirable brain computations. Here, we investigated functional networks of cortical neurons using correlation analysis identify connectivity. To reconstruct the interaction network, applied Ising model based on principle maximum entropy. This allowed us assess interactions by measuring pairwise correlations strength coupling from degree synchrony. Visual...
The size distribution of neuronal avalanches in cortical networks has been reported to follow a power law with exponent close −1.5, which is reflection long-range spatial correlations spontaneous activity. However, identifying scaling empirical data can be difficult and sometimes controversial. In the present study, we tested hypothesis for by using more stringent statistical analyses. particular, performed following steps: (i) analysis finite-size identify scale-free dynamics avalanches,...
Neuronal death induced by activating N -methyl- d -aspartate (NMDA) receptors has been linked to Ca 2+ and Na + influx through associated channels. Whole-cell recording from cultured mouse cortical neurons revealed a NMDA-evoked outward current, I NMDA-K , carried K efflux at membrane potentials positive –86 millivolts. Cortical exposed NMDA in medium containing reduced (as found ischemic brain tissue) lost substantial intracellular underwent apoptosis. Both loss apoptosis were attenuated...
In the cortex, interactions among neurons give rise to transient coherent activity patterns that underlie perception, cognition, and action. Recently, it was actively debated whether most basic interactions, i.e., pairwise correlations between or groups of neurons, suffice explain those observed patterns. So far, evidence reported is controversial. Importantly, overall organization neuronal mechanisms underlying their generation, especially high-order have remained elusive. Here we show...
Many complex systems give rise to events that are clustered in space and time, thereby establishing a correlation structure is governed by power law statistics. In the cortex, such clusters of activity, called “neuronal avalanches,” were recently found local field potentials (LFPs) spontaneous activity acute cortex slices, slice cultures, developing anesthetized rat, premotor motor awake monkeys. At present, it unclear whether neuronal avalanches also exist LFPs spike vivo sensory areas...
Group activities usually involve spatio-temporal dynamics among many interactive individuals, while only a few participants at several key frames essentially define the activity. Therefore, effectively modeling group-relevant and suppressing irrelevant actions (and interactions) are vital for group activity recognition. In this paper, we propose novel method based on deep reinforcement learning to progressively refine low-level features high-level relations of activities. Firstly, construct...
Adolescent major depressive disorder (MDD) is associated with serious adverse implications for brain development and higher rates of self-injury suicide, raising concerns about its neurobiological mechanisms in clinical neuroscience. However, most previous studies regarding the alterations adolescent MDD focused on single-modal images or analyzed different modalities separately, ignoring potential role aberrant interactions between structure function psychopathology.
In the mammalian cortex, even simple sensory inputs or movements activate many neurons, with each neuron responding variably to repeated stimuli—a phenomenon known as trial-by-trial variability. Understanding spatial patterns and dynamics of this variability is challenging. Using cellular 2-photon imaging, we study visual auditory responses in primary cortices awake mice. We focus on how individual neurons' differed from overall population. find consistent correlations these differences that...
The synchronized activity of cortical neurons often features spike delays several milliseconds. Usually, these are considered too small to play a role in computations. Here, we use simultaneous recordings spiking from up 12 show that, the cat visual cortex, pairwise between form preferred order spiking, called firing sequence. This sequence spans ∼15 ms and is referenced not external events but internal (e.g., beta/gamma oscillations). Most importantly, changed consistently as function...
Disorders of consciousness are a heterogeneous mixture different diseases or injuries. Although some indicators and models have been proposed for prognostication, any single method when used alone carries high risk false prediction. This study aimed to develop multidomain prognostic model that combines resting state functional MRI with three clinical characteristics predict one year-outcomes at the single-subject level. The discriminated between patients who would later recover those not an...
Sensory events, cognitive processing and motor actions correlate with transient changes in neuronal activity. In cortex, these transients form widespread spatiotemporal patterns largely unknown statistical regularities. Here, we show that activity associated behavioral events carry the signature of scale-invariant clusters, avalanches. Using high-density microelectrode arrays nonhuman primates, recorded extracellular unit local field potential (LFP) premotor prefrontal cortex during tasks....
Abstract Both the hippocampus and amygdala are involved in working memory (WM) processing. However, their specific role WM is still an open question. Here, we simultaneously recorded intracranial EEG from of epilepsy patients while performing a task, compared representation patterns during encoding maintenance periods. By combining multivariate representational analysis connectivity analyses with machine learning methods, our results revealed functional specialization amygdala-hippocampal...
Immune escape is the main reason that immunotherapy ineffective in hepatocellular carcinoma (HCC). Here, this study illustrates a pathway mediated by neutrophil extracellular traps (NETs) can promote immune of HCC. Mechanistically, we demonstrated NETs up-regulated CD73 expression through activating Notch2 nuclear factor kappa B (NF-κB) pathway, promoting regulatory T cells (Tregs) infiltration to mediate In addition, found similar results mouse HCC models hydrodynamic plasmid transfection....
Identification of cortical dynamics strongly benefits from the simultaneous recording as many neurons possible. Yet current technologies provide only incomplete access to mammalian cortex which adequate conclusions about need be derived. Here, we identify constraints introduced by sub-sampling with a limited number electrodes, i.e. spatial 'windowing', for well-characterized critical dynamics―neuronal avalanches. The local field potential (LFP) was recorded premotor and prefrontal cortices...
Thermodynamic criticality describes emergent phenomena in a wide variety of complex systems. In the mammalian cortex, one type dynamics that spontaneously emerges from neuronal interactions has been characterized as avalanches. Several aspects avalanches such their size and life time distributions are described by power laws with unique exponents, indicating an underlying critical branching process governs avalanche formation. Here, we show also reflect organization brain close to...
Activity cascades are found in many complex systems. In the cortex, they arise form of neuronal avalanches that capture ongoing and evoked activities at spatial temporal scales. The scale-invariant nature suggests brain is a critical state, yet predictions from theory on unfolding have to be confirmed vivo. Here we show awake nonhuman primates profile follows symmetrical, inverted parabola spanning up hundreds milliseconds. This constrains how initiate locally, extend spatially shrink as...
The hippocampus is a locus of working memory (WM) with anterior and posterior subregions that differ in their transcriptional external connectivity patterns. However, the involvement functional connections between these WM processing are poorly understood. To address issues, we recorded intracranial EEG from hippocampi humans (seven females seven males) who maintained set letters WM. We found maintenance was accompanied by elevated low-frequency activity both increased theta/alpha band (3–12...
Research and development of electroencephalogram (EEG) based brain-computer interfaces (BCIs) have advanced rapidly, partly due to deeper understanding the brain wide adoption sophisticated machine learning approaches for decoding EEG signals.However, recent studies shown that algorithms are vulnerable adversarial attacks.This paper proposes use narrow period pulse poisoning attack EEG-based BCIs, which makes attacks much easier implement.One can create dangerous backdoors in model by...