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Forebrain excitatory neuron-specific loss of Brpf1 attenuates excitatory synaptic transmission and impairs spatial and fear memory

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Neural Regeneration Research 2024年第5期19卷 1133-1141页

作者： Baicheng Zhao Hang Zhang Ying Liu Gaoyu Zu Yuxiao Zhang Jiayi Hu Shuai Liu Linya You Department of Human Anatomy&Histoembryology School of Basic Medical SciencesFudan UniversityShanghaiChina shanghai Key Laboratory of brain Functional Genomics(Ministry of Education) Affiliated Mental Health Center(ECNU)School of Psychology and Cognitive ScienceEast China Normal UniversityShanghaiChina shanghai Changning Mental Health Center ShanghaiChina nyu-ecnu institute of brain and cognitive science at nyu shanghai ShanghaiChina Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention of shanghai ShanghaiChina

Bromodomain and plant homeodomain(PHD)finger containing protein 1(Brpf1)is an activator and scaffold protein of a multiunit complex that includes other components involving lysine acetyltransferase(KAT)6A/6B/7.Brpf1,KAT6A,and KAT6B mutations were identified as the causal genes of neurodevelopmental disorders leading to intellectual disability.Our previous work revealed strong and specific expression of Brpf1 in both the postnatal and adult forebrain,especially the hippocampus,which has essential roles in learning and memory.Here,we hypothesized that Brpf1 plays critical roles in the function of forebrain excitatory neurons,and that its deficiency leads to learning and memory deficits.To test this,we knocked out Brpf1 in forebrain excitatory neurons using CaMKIIa-Cre.We found that Brpf1 deficiency reduced the frequency of miniature excitatory postsynaptic currents and downregulated the expression of genes Pcdhgb1,Slc16a7,Robo3,and Rho,which are related to neural development,synapse function,and memory,thereby damaging spatial and fear memory in mice.These findings help explain the mechanisms of intellectual impairment in patients with BRPF1 mutation.

关键词： behavioral test Brpf1 CAMKIIa-Cre intellectual disability miniature excitatory postsynaptic current mRNA-Seq

Shedding light on gene therapy of Parkinson’s disease in non-human primates

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The Innovation 2024年第2期5卷 15-16页

作者： Xunyi Yan Xin Jin New Cornerstone science Laboratory Center for Motor Control and DiseaseKey Laboratory of Brain Functional GenomicsEast China Normal University3663 North Zhongshan RoadShanghai 200062China nyu–ecnu institute of brain and cognitive science New York University Shanghai3663 North Zhongshan RoadShanghai 200062China

Parkinson’s disease(PD)is a progressive neurodegeneration disease initially described by James Parkinson.It is typically diagnosed based on clinical features such as bradykinesia,resting tremor,rigidity,and,in later stages,postural instability.Epidemiologically,the prevalence of PD ranges from 5 to over 35 cases per 100,000 population,with the majority affecting individuals aged 50 years or older.The risk increases with age,particularly in males.Various factors,including genetics,lifestyle,specific environmental influences,and geometry,contribute to the disease.

关键词： clinical rigidity initially

Improving iconic memory through contrast detection training with HOA-corrected vision

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Fundamental Research 2024年第1期4卷 95-102页

作者： Ling Gong Junlei Zhao Yun Dai Zili Wang Fang Hou Yudong Zhang Zhong-Lin Lu Jiawei Zhou State Key Laboratory of Ophthalmology Optometry and Vision ScienceEye HospitalSchool of Ophthalmology and OptometryWenzhou Medical UniversityWenzhou 325027China institute of Optics and Electronics Chinese Academy of SciencesChengdu 610209China The Key Laboratory of Adaptive Optics Chinese Academy of SciencesChengdu 610209China Chengdu University of Traditional Chinese Medicine Chengdu 610075China Division of Arts and sciences New York University ShanghaiShanghai 200126China Center for Neural science Department of PsychologyNew York UniversityNew York 10003United States nyu-ecnu institute of brain and cognitive science at nyu shanghai Shanghai 200062China

Iconic memory and short-term memory are not only crucial for perception and cognition,but also of great importance to mental health.Here,we first showed that both types of memory could be improved by improving limiting processes in visual processing through perceptual learning.Normal adults were trained in a contrast detection task for ten days,with their higher-order aberrations(HOA)corrected in real-time.We found that the training improved not only their contrast sensitivity function(CSF),but also their iconic memory and baseline information maintenance for short-term memory,and the relationship between memory and CSF improvements could be well-predicted by an observer model.These results suggest that training the limiting component of a cognitive task with visual perceptual learning could improve visual cognition.They may also provide an empirical foundation for new therapies to treat people with poor sensory memory.

关键词： Perceptual learning Iconic memory Higher-order aberrations Contrast sensitivity Short-term memory

Novel heterozygous USH1C mutation impacts hair cell mechanotransduction and causes progressive hearing loss

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science Bulletin 2024年第2期69卷 167-172页

作者： Yanyan Jia Gaogan Jia Luo Guo Nan Song Yu-Meng Wang Luoying Jiang Yilai Shu Yan Chen Shujia Zhu Huawei Li Wenyan Li ENT institute and Otorhinolaryngology Department of Eye&ENT Hospital State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain ScienceFudan UniversityShanghai 200031China institutes of Biomedical sciences Fudan UniversityShanghai 200032China NHC Key Laboratory of Hearing Medicine(Fudan University) Shanghai 200031China The institutes of brain science and the Collaborative Innovation Center for brain science Fudan UniversityShanghai 200032China shanghai Center for brain science and brain-Inspired Intelligence Technology Shanghai 201210China institute of Neuroscience State Key Laboratory of NeuroscienceCAS Center for Excellence in Brain Science and Intelligence TechnologyChinese Academy of SciencesShanghai 200031China Department of Cardiology and Institute for Developmental and Regenerative Cardiovascular MedicineXinhua Hospital Affiliated to Shanghai Jiaotong University School of MedicineShanghai 200092China

Hearing loss is one of the most common sensory disorders worldwide,affecting approximately 466 million people,including 34 million children[1].Genetic mutations accounts for approximately 60%of inherited hearing loss cases[2,3].These genetic changes result in a wide variety of clinical manifestations,ranging from nonsyndromic hearing loss(NSHL)to over 400 syndromes involving hearing loss and from mild adult-onset hearing loss to profound congenital deafness,covering the entire spectrum of Mendelian inheritance.

关键词： mec hearing approximate

Prompt learning in computer vision: a survey

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Frontiers of Information Technology & Electronic Engineering 2024年第1期25卷 42-63页

作者： Yiming LEI Jingqi LI Zilong LI Yuan CAO Hongming SHAN shanghai Key Laboratory of Intelligent Information Processing School of Computer ScienceFudan UniversityShanghai 200438China institute of science and Technology for brain-Inspired Intelligence Fudan UniversityShanghai 200433China MOE Frontiers Center for brain science Fudan UniversityShanghai 200433China shanghai Center for brain science and brain-Inspired Technology Shanghai 201210China

Prompt learning has attracted broad attention in computer vision since the large pre-trained visionlanguagemodels (VLMs) exploded. Based on the close relationship between vision and language information builtby VLM, prompt learning becomes a crucial technique in many important applications such as artificial intelligencegenerated content (AIGC). In this survey, we provide a progressive and comprehensive review of visual promptlearning as related to AIGC. We begin by introducing VLM, the foundation of visual prompt learning. Then, wereview the vision prompt learning methods and prompt-guided generative models, and discuss how to improve theefficiency of adapting AIGC models to specific downstream tasks. Finally, we provide some promising researchdirections concerning prompt learning.

关键词： Prompt learning Visual prompt tuning(VPT) Image generation Image classification Artificial intelligence generated content(AIGC)

End-to-End Paired Ambisonic-Binaural Audio Rendering

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IEEE/CAA Journal of Automatica Sinica 2024年第2期11卷 502-513页

作者： Yin Zhu Qiuqiang Kong Junjie Shi Shilei Liu Xuzhou Ye Ju-Chiang Wang Hongming Shan Junping Zhang shanghai Key Laboratory of Intelligent Information Processing School of Computer ScienceFudan UniversityShanghai 200433China Beijing ByteDance Technology Co.Ltd. Shanghai 201102China. Chinese University of Hong Kong Hong KongChina IEEE institute of science and Technology for brain-Inspired Intelligence and MOE Frontiers Center for brain science Fudan UniversityShanghai 200433 shanghai Center for brain science and brain-Inspired Technology Shanghai 200031China

Binaural rendering is of great interest to virtual reality and immersive media. Although humans can naturally use their two ears to perceive the spatial information contained in sounds, it is a challenging task for machines to achieve binaural rendering since the description of a sound field often requires multiple channels and even the metadata of the sound sources. In addition, the perceived sound varies from person to person even in the same sound field. Previous methods generally rely on individual-dependent head-related transferred function(HRTF)datasets and optimization algorithms that act on HRTFs. In practical applications, there are two major drawbacks to existing methods. The first is a high personalization cost, as traditional methods achieve personalized needs by measuring HRTFs. The second is insufficient accuracy because the optimization goal of traditional methods is to retain another part of information that is more important in perception at the cost of discarding a part of the information. Therefore, it is desirable to develop novel techniques to achieve personalization and accuracy at a low cost. To this end, we focus on the binaural rendering of ambisonic and propose 1) channel-shared encoder and channel-compared attention integrated into neural networks and 2) a loss function quantifying interaural level differences to deal with spatial information. To verify the proposed method, we collect and release the first paired ambisonic-binaural dataset and introduce three metrics to evaluate the content information and spatial information accuracy of the end-to-end methods. Extensive experimental results on the collected dataset demonstrate the superior performance of the proposed method and the shortcomings of previous methods.

关键词： Ambisonic attention binaural rendering neural network

Enhanced Beta2-band Oscillations Denote Auditory Hallucination in Schizophrenia Patients and a Monkey Model of Psychosis

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Neuroscience Bulletin 2024年第3期40卷 325-338页

作者： Shuo Ma Tianzhen Chen Wenjun Jia Jie Liu Shihan Ding Puzhe Li Hong Gan Dapeng Zhang Shuxin Shao Mu-Ming Poo Min Zhao Bomin Sun Jian Jiang Department of Neurosurgery Ruijin HospitalSchool of MedicineShanghai Jiao Tong UniversityShanghai200020China shanghai Mental Health Center Shanghai Jiao Tong University School of MedicineShanghai200030China shanghai Center for brain science and brain-inspired Technology Lingang LaboratoryShanghai201602China University of California at Berkeley BerkeleyCA94720USA School of Life science and Technology ShanghaiTech UniversityShanghai201210China institute of Neuroscience CAS Center for Excellence in Brain Science and Intelligence TechnologyCAS Key Laboratory of Primate NeurobiologyState Key Laboratory of NeuroscienceChinese Academy of SciencesShanghai200031China shanghai Center for brain science and brain-Inspired Intelligence Technology Lingang LaboratoryShanghai201210China Fuyang Third People’s Hospital Fuyang Mental Health CenterFuyang236052China shanghai Key Laboratory of Psychotic Disorders Shanghai200030China institute of Psychological and Behavioral science Shanghai Jiao Tong UniversityShanghai200030China shanghai Quanlan Technology Co. LtdShanghai201602China

An electroencephalographic(EEG)signature of auditory hallucinations(AHs)is important for facilitating the diagnosis and treatment of AHs in schizophrenia.We recorded EEG from 25 schizophrenia patients with recurrent AHs.During the period of AHs,EEG recordings exhibited significantly elevated beta2-band power in the temporal region,as compared to those recorded in the absence of AHs or during stimulation with verbal sounds.We further generated methamphetamine-treated rhesus monkeys exhibiting psychosis-like behaviors,including repetitive sudden searching actions in the absence of external intrusion,suggesting the occurrence of AHs.Epidural EEG beta2-band power in the temporal region of these monkeys was enhanced immediately after methamphetamine treatment and positively correlated with the frequency of sudden searching actions.Thus,the enhancement of temporal beta2-band oscillations represents a signature for AHs in both patients and a monkey model of psychosis,and this monkey model can be used for developing closed-loop neuromodulation approaches for the treatment of refractory AHs in schizophrenia.

关键词： Schizophrenia Auditory hallucinations Non-human primate Methamphetamine Electroencephalography

Developmental Patterns and Gender Differences of Vocal Production in Marmoset Monkeys

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Neuroscience Bulletin 2024年第1期40卷 133-138页

作者： Ruixin An Chaocheng Lu Chen Wang Liangtang Chang Junfeng Huang Fan Jiang Tian-Le Xu Neng Gong Center for brain science Shanghai Children's Medical CenterShanghai Jiao Tong University School of MedicineShanghai 200127China Department of Anatomy and Physiology Shanghai Jiao Tong University School of MedicineShanghai 200025China Department of Critical Care Medicine Huashan HospitalFudan University12 Middle Wulumuqi RoadShanghai 200040China institute of Neuroscience Key Laboratory of Primate NeurobiologyCAS Center for Excellence in Brain Science and Intelligence TechnologyChinese Academy of SciencesShanghai 200031China Lingang Laboratory Shanghai 200031China shanghai Center for brain science and brain-Inspired Technology Shanghai 201210China

Dear Editor,The common marmoset(Callithrix jacchus),a small New World monkey species,is considered an ideal non-human primate model for studying the evolution and neural mechanism of vocal behavior due to their rich call repertoire and vocal communication[1-3].Especially,the early vocal development of marmoset monkeys has attracted much attention,because newborn marmosets have been shown to exhibit a vocal development trajectory.Within two months after birth,marmosets'vocalizations undergo dramatic changes from cries to adult-like mature calls,a process that is influenced not only by inner physical maturation but also by parental care and feedback[4].

关键词： parental birth Pattern

Photonic neuromorphic architecture for tens-of-task lifelong learning

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Light(science & Applications) 2024年第3期13卷 519-530页

作者： Yuan Cheng Jianing Zhang Tiankuang Zhou Yuyan Wang Zhihao Xu Xiaoyun Yuan Lu Fang Sigma Laboratory Department of Electronic EngineeringTsinghua UniversityBeijing 100084China Beijing National Research Center for Information science and Technology(BNRist) Beijing 100084China institute for brain and cognitive science Tsinghua University(THUIBCS)Beijing 100084China

Scalable,high-capacity,and low-power computing architecture is the primary assurance for increasingly manifold and large-scale machine learning tasks.Traditional electronic artificial agents by conventional power-hungry processors have faced the issues of energy and scaling walls,hindering them from the sustainable performance improvement and iterative multi-task learning.Referring to another modality of light,photonic computing has been progressively applied in high-efficient neuromorphic systems.Here,we innovate a reconfigurable lifelong-learning optical neural network(L2 ONN),for highly-integrated tens-of-task machine intelligence with elaborated algorithm-hardware codesign.Benefiting from the inherent sparsity and parallelism in massive photonic connections,L2 ONN learns each single task by adaptively activating sparse photonic neuron connections in the coherent light field,while incrementally acquiring expertise on various tasks by gradually enlarging the activation.The multi-task optical features are parallelly processed by multi-spectrum representations allocated with different wavelengths.Extensive evaluations on freespace and on-chip architectures confirm that for the first time,L2 ONN avoided the catastrophic forgetting issue of photonic computing,owning versatile skills on challenging tens-of-tasks(vision classification,voice recognition,medical diagnosis,etc.)with a single model.Particularly,L2 ONN achieves more than an order of magnitude higher efficiency than the representative electronic artificial neural networks,and 14×larger capacity than existing optical neural networks while maintaining competitive performance on each individual task.The proposed photonic neuromorphic architecture points out a new form of lifelong learning scheme,permitting terminal/edge AI systems with light-speed efficiency and unprecedented scalability.

关键词： life neural versatile