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The interaction between circadian rhythm and epilepsy

Acta Epileptologica 2022年第3期5卷 156-168页

作者： Mingsu Liu Jing Ding Xin Wang Department of Neurology Zhongshan HospitalFudan UniversityShanghaiChina CAS Center for Excellence in Brain Science and Intelligence Technology ShanghaiChina Department of The State Key Laboratory of Medical Neurobiology The Institutes of Brain Science and the Collaborative Innovation Center for Brain ScienceFudan UniversityShanghaiChina

Evidence about the interaction between circadian rhythms(CR)and epilepsy has been expanded with the application of advanced detection *** adequate understanding of how circadian system and epilepsy interact with each other could contribute to more accurate seizure prediction as well as rapid development of potential treatment timed to specific phases of *** this review,we present the reciprocal relationship between CR and epileptic activities from aspects of sleep effect,genetic modulation and brain *** has been found that sleep-wake patterns,circadian timing systems and multidien rhythms have essential roles in seizure activities and interictal epileptiform discharge(IED).For instance,specific distribution patterns of seizures and IED have been reported,i.e.,lighter non-rapid eye movement(NREM)sleep stage(stage 2)induces seizures while deeper NREM sleep stage(stage 3)activates ***,the epilepsy type,seizure type and seizure onset zone can significantly affect the rhythms of seizure *** from the common seizure types,several specific epilepsy syndromes also have a close correlation with sleep-wakefulness *** influences the epilepsy rhythm,and conversely,epilepsy alters the sleep rhythm through multiple *** genes accompanied by two feedback loops of regulation have an important role in cortical excitability and seizure occurrence,which may be involved in the *** suprachiasmatic nuclei(SCN)has a rhythm of melatonin and cortisol secretion under the circadian pattern,and then these hormones can feed back into a central oscillator to affect the SCN-dependent rhythms,leading to variable but prominent influence on ***,we discuss the precise predictive algorithms and chronotherapy strategies based on different temporal patterns of seizure occurrence for patients with epilepsy,which may offer a valuable indication for non-invasive closed-loop treatment *** of the

关键词： Epilepsy Circadian rhythm Sleep Mechanisms Chronotherapy

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A Drosophila-inspired intelligent olfactory biomimetic sensing system for gas recognition in complex environments

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Microsystems & Nanoengineering 2024年第5期10卷 319-330页

作者： Xiawei Yue Jiachuang Wang Heng Yang Zening Li Fangyu Zhao Wenyuan Liu Pingping Zhang Hong Chen Hanjun Jiang Nan Qin Tiger H.Tao State Key Laboratory of Transducer Technology Shanghai Institute of Microsystem and Information TechnologyChinese Academy of SciencesShanghai 200050China School of Graduate Study University of Chinese Academy of SciencesBeijing 100049China Suzhou Huiwen Nanotechnology Co.Ltd. Jiangsu 215004China School of Integrated Circuits Tsinghua UniversityBeijing 100084China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing 100049China 2020 X-Lab Shanghai Institute of Microsystem and Information TechnologyChinese Academy of SciencesShanghai 200050China Center for Excellence in Brain Science and Intelligence Technology Chinese Academy of SciencesShanghai 200031China Neuroxess Co.Ltd.(Jiangxi) NanchangJiangxi 330029China Guangdong Institute of Intelligence Science and Technology HengqinZhuhaiGuangdong 519031China OTianqiao and Chrissy Chen Institute for Translational Research ShanghaiChina

The olfactory sensory system of Drosophila has several advantages,including low power consumption,high rapidity and high ***,we present a biomimetic intelligent olfactory sensing system based on the integration of an 18-channel microelectromechanical system(MEMS)sensor array(16 gas sensors,1 humidity sensor and 1 temperature sensor),a complementary metal-oxide-semiconductor(CMOS)circuit and an olfactory lightweight machine-learning algorithm inspired by *** system is an artificial version of the biological olfactory perception system with the capabilities of environmental sensing,multi-signal processing,and odor *** olfactory data are processed and reconstructed by the combination of a shallow neural network and a residual neural network,with the aim to determine the noxious gas information in challenging environments such as high humidity scenarios and partially damaged sensor *** a result,our electronic olfactory sensing system is capable of achieving comprehensive gas recognition by qualitatively identifying 7 types of gases with an accuracy of 98.5%,reducing the number of parameters and the difficulty of calculation,and quantitatively predicting each gas of 3-5 concentration gradients with an accuracy of 93.2%;thus,these results show superiority of our system in supporting alarm systems in emergency rescue scenarios.

关键词： system environments humidity

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Zebrafish cartilage development atlas generated by longitudinal in vivo imaging

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Journal of Genetics and Genomics 2025年第1期52卷 124-127页

作者： Shirong Jin Hongfei Zhang Jia Li Huaxing Zi Jiulin Du Hongyu Li Institute of Neuroscience State Key Laboratory of NeuroscienceCAS Center for Excellence in Brain Science and Intelligence TechnologyChinese Academy of Sciences320 Yue-Yang RoadShanghai 200031China Department of Neurosurgery Huashan HospitalShanghai Medical CollegeFudan UniversityShanghai 200040China University of Chinese Academy of Sciences 19A Yu-Quan RoadBeijing 100049China School of Life Science and Technology ShanghaiTech University319 Yue-Yang RoadShanghai 200031China

Cartilage is a highly specialized connective tissue that provides structure,flexibility,and strength to joints and serves as a crucial precursor to bone formation throughout embryonic growth and *** formation relies on chondrocytes,which play a crucial role in maintaining tissue homeostasis by producing substantial amounts of extracellular matrix(ECM)and ground substance.

关键词： homeostasis cartilage vivo

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WDR62-deficiency Causes Autism-like Behaviors Independent of Microcephaly in Mice

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Neuroscience Bulletin 2023年第9期39卷 1333-1347页

作者： Dan Xu Yiqiang Zhi Xinyi Liu Le Guan Jurui Yu Dan Zhang Weiya Zhang Yaqing Wang Wucheng Tao Zhiheng Xu Fujian Key Laboratory of Molecular Neurology Institute of NeuroscienceFujian Medical UniversityFuzhou350005China College of Biological Science and Engineering Institute of Life SciencesFuzhou UniversityFuzhou350108China University of Chinese Academy of Sciences Beijing100101China State Key Laboratory of Molecular Developmental Biology CAS Center for Excellence in Brain Science and Intelligence TechnologyInstitute of Genetics and Developmental BiologyChinese Academy of SciencesBeijing100101China Key Laboratory of Brain Aging and Neurodegenerative Diseases School of Basic Medical SciencesFujian Medical UniversityFuzhou350108China

brain size abnormality is correlated with an increased frequency of autism spectrum disorder(ASD)in *** analysis indicates that heterozygous mutations of the WD repeat domain 62(WDR62)are associated with ***,biological evidence is still *** study showed that Wdr62 knockout(KO)led to reduced brain size with impaired learning and memory,as well as ASD-like behaviors in ***,Wdr62 Nex-cKO mice(depletion of WDR62 in differentiated neurons)had a largely normal brain size but with aberrant social interactions and repetitive ***62 regulated dendritic spinogenesis and excitatory synaptic transmission in cortical pyramidal ***,we revealed that retinoic acid gavages significantly alleviated ASD-like behaviors in mice with WDR62 haploinsufficiency,probably by complementing the expression of ASD and synapse-related *** findings provide a new perspective on the relationship between the microcephaly gene WDR62 and ASD etiology that will benefit clinical diagnosis and intervention of ASD.

关键词： WDR62 Microcephaly Autism spectrum disorder Synapse Retinoic acid

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Tetris:A Heuristic Static Memory Management Framework for Uniform Memory Multicore Neural Network Accelerators

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Journal of Computer science & technology 2022年第6期37卷 1255-1270页

作者： Xiao-Bing Chen Hao Qi Shao-Hui Peng Yi-Min Zhuang Tian Zhi Yun-Ji Chen Distinguished Member,CCF State Key Laboratory of Computer Architecture Institute of Computing TechnologyChinese Academy of SciencesBeijing 100190China University of Chinese Academy of Sciences Beijing 100049China School of Computer Science and Technology University of Science and Technology of ChinaHeFei230026China Chinese Academy of Sciences Center for Excellence in Brain Science and Intelligence Technology Shanghai200031China 不详

Uniform memory multicore neural network accelerators(UNNAs)furnish huge computing power to emerging neural network ***,with neural network architectures going deeper and wider,the limited memory capacity has become a constraint to deploy models on UNNA *** how to efficiently manage memory space and how to reduce workload footprints are urgently *** this paper,we propose Tetris:a heuristic static memory management framework for UNNA *** reconstructs execution flows and synchronization relationships among cores to analyze each tensor’s liveness *** the memory management problem is converted to a sequence permutation *** uses a genetic algorithm to explore the permutation space to optimize the memory management strategy and reduce memory *** evaluate several typical neural networks and the experimental results demonstrate that Tetris outperforms the state-of-the-art memory allocation methods,and achieves an average memory reduction ratio of 91.9%and 87.9%for a quad-core and a 16-core Cambricon-X platform,respectively.

关键词： multicore neural network accelerators liveness analysis static memory management memory reuse genetic algorithm

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Spiking Generative Adversarial Network with Attention Scoring Decoding

arXiv

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arXiv 2023年

作者： Feng, Linghao Zhao, Dongcheng Zeng, Yi Brain-inspired Cognitive Intelligence Lab Institute of Automation Chinese Academy of Sciences China Center for Excellence in Brain Science and Intelligence Technology CAS China School of Future Technology University of Chinese Academy of Sciences China

Generative models based on neural networks present a substantial challenge within deep learning. As it stands, such models are primarily limited to the domain of artificial neural networks. Spiking neural networks, as the third generation of neural networks, offer a closer approximation to brain-like processing due to their rich spatiotemporal dynamics. However, generative models based on spiking neural networks are not well studied. In this work, we pioneer constructing a spiking generative adversarial network capable of handling complex images. Our first task was to identify the problems of out-of-domain inconsistency and temporal inconsistency inherent in spiking generative adversarial networks. We addressed these issues by incorporating the Earth-Mover distance and an attention-based weighted decoding method, significantly enhancing the performance of our algorithm across several datasets. Experimental results reveal that our approach outperforms existing methods on the MNIST, FashionMNIST, CIFAR10, and CelebA datasets. Moreover, compared with hybrid spiking generative adversarial networks, where the discriminator is an artificial analog neural network, our methodology demonstrates closer alignment with the information processing patterns observed in the mouse. Copyright © 2023, The Authors. All rights reserved.

关键词： Generative adversarial networks

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Multimodal Temporal Attention in Sentiment Analysis 3

Multimodal Temporal Attention in Sentiment Analysis

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3rd Multimodal Sentiment Analysis Challenge and Workshop, MuSe 2022, held in conjunction with the ACM Multimedia 2022

作者： He, Yu Sun, Licai Lian, Zheng Liu, Bin Tao, Jianhua Wang, Meng Cheng, Yuan School of Artifcial Intelligence University of Chinese Academy of Sciences Nlpr Institute of Automation Chinese Academy of Sciences China Nlpr Institute of Automation Chinese Academy of Sciences China Nlpr Institute of Automation Chinese Academy of Sciences School of Artifcial Intelligence University of Chinese Academy of Sciences Cas Center for Excellence in Brain Science and Intelligence Technology China Ant Financial Services Group Hangzhou China

ISBN: (纸本)9781450394840

In this paper, we present the solution to the MuSe-Stress sub-challenge in the MuSe 2022 Multimodal Sentiment Analysis Challenge. The task of MuSe-Stress is to predict a time-continuous value (i.e., physiological arousal and valence) based on multimodal data of audio, visual, text, and physiological signals. In this competition, we find that multimodal fusion has good performance for physiological arousal on the validation set, but poor prediction performance on the test set. We believe that problem may be due to the over-fitting caused by the model's over-reliance on some specific modal features. To deal with the above problem, we propose Multimodal Temporal Attention (MMTA), which considers the temporal effects of all modalities on each unimodal branch, realizing the interaction between unimodal branches and adaptive inter-modal balance. The concordance correlation coefficient (CCC) of physiological arousal and valence are 0.6818 with MMTA and 0.6841 with early fusion, respectively, both ranking Top 1, outperforming the baseline system by a large margin (i.e., 0.4761 and 0.4931) on the test set. © 2022 Owner/Author.

关键词： Sentiment analysis

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Mapping the emergence of visual consciousness in the human brain via brain-wide intracranial electrophysiology

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The Innovation 2022年第3期3卷 88-96页

作者： Liang Shan Hui Huang Zhiting Zhang Yuyin Wang Fei Gu Mingwei Lu Wen Zhou Yi Jiang Ji Dai Guangdong Provincial Key Laboratory of Brain Connectome and Behavior CAS Key Laboratory of Brain Connectome and ManipulationThe Brain Cognition and Brain Disease Institute(BCBDI)Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions Shenzhen 518055China Department of Neurosurgery The Second Affiliated Hospital of Nanchang UniversityNanchang 330006China University of Chinese Academy of Sciences Beijing 100049China State Key Laboratory of Brain and Cognitive Science CAS Center for Excellence in Brain Science and Intelligence TechnologyInstitute of PsychologyChinese Academy of SciencesBeijing 100101China

Consciousness lies at the heart of our existence and *** probe how perceptual consciousness emerges in the brain,we recorded brainwide intracranial electroencephalography signals from human patients while their perceptual consciousness was effectively manipulated using the continuous flash suppression *** observed substantial differences in brain activities when visual information gradually enters consciousness.

关键词： visual flash Mapping

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enOscas12f1-mediated exon skipping for Duchenne muscular dystrophy therapy in humanized mouse model

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Journal of Genetics and Genomics 2024年第2期51卷 256-259页

作者： Ming Jin Jiajia Lin Yu Zhang Qingquan Xiao Xiangfeng Kong Xiumei Zhang Zhurui Shao Yin Wang Yuyang Yu Jinjing Li Wan-Jin Chen Guoling Li Hui Yang Ning Wang Department of Neurology and Institute of Neurology of First Affiliated Hospital Institute of NeuroscienceFujian Key Laboratory of Molecular NeurologyFujian Medical UniversityFuzhouFujian 350004China HUIDAGENE Therapeutics Co. Ltd.Shanghai 200131China Institute of Neuroscience State Key Laboratory of NeuroscienceKey Laboratory of Primate NeurobiologyCAS Center for Excellence in Brain Science and Intelligence TechnologyShanghai Institutes for Biological SciencesChinese Academy of SciencesShanghai 200031China

Duchenne muscular dystrophy(DMD)is a severe neuromuscular disorder caused by mutations in the dystrophin gene,which encodes the essential protein *** genetic condition,affecting approximately 1 in 5000 male births worldwide(Birnkrant et al.,2018),is characterized by progressive muscle weakness and wasting,leading to premature death in the second or third decade of life(Farini et al.,2016).The absence of dystrophin protein causes instability in the sarcolemma,which predisposes individuals to myonecrosis and activation of inflammatory signaling ***,there is currently no effective cure for DMD,and glucocorticoid steroids are commonly used in clinical settings to delay symptom development(Merlini et al.,2003).

关键词： dystrophy Duchenne

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Learning long-term temporal contexts using skip RNN for continuous emotion recognition

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Virtual Reality & Intelligent Hardware 2021年第1期3卷 55-64页

作者： Jian HUANG Bin LIU Jianhua TAO National Laboratory of Pattern Recognition Institute of AutomationChinese Academy of SciencesBeijing 100049China CAS Center for Excellence in Brain Science and Intelligence Technology Beijing 100049China School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China

Background Continuous emotion recognition as a function of time assigns emotional values to every frame in a *** long-term temporal context information is essential for continuous emotion recognition *** For this purpose,we employ a window of feature frames in place of a single frame as inputs to strengthen the temporal modeling at the feature *** ideas of frame skipping and temporal pooling are utilized to alleviate the resulting *** the model level,we leverage the skip recurrent neural network to model the long-term temporal variability by skipping trivial information for continuous emotion *** The experimental results using the AVEC 2017 database demonstrate that our proposed methods are beneficial to a performance ***,the skip long short-term memory(LSTM)model can focus on the critical emotional state when training the models,thereby achieving a better performance than the LSTM model and other methods.

关键词： Continuous emotion recognition Skip RNN Temporal contexts Redundancy

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