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A comparison of statistical learning of naturalistic textures between DCNNs and the human visual hierarchy

Science China Technological Sciences 2024年第8期67卷 2310-2318页

作者： LU XinCheng YUAN ZiQi ZHANG YiChi AI HaiLin CHENG SiYuan GE YiRan FANG Fang CHEN NiHong department of Psychological and Cognitive Sciences Tsinghua University department of Computer Science and Technology Tsinghua University School of Psychological and Cognitive Sciences and Beijing Key laboratory of Behavior and Mental Health Peking University Key laboratory of Machine Perception (Ministry of Education) Peking University Peking-tsinghua Center for Life Sciences Peking University IDG/McGovern Institute for brain Research Peking University State Key laboratory of brain and Cognitive Science Institute of Psychology Chinese Academy of Sciences IDG/McGovern Institute for brain Research Tsinghua University

The visual system continuously adapts to the statistical properties of the environment. Existing evidence shows a close resemblance between deep convolutional neural networks(CNNs) and primate visual stream in neural selectivity to naturalistic textures above the primary visual processing stage. This study delves into the mechanisms of perceptual learning in CNNs,focusing on how they assimilate the high-order statistics of natural textures. Our results show that a CNN model achieves a similar performance improvement as humans, as manifested in the learning pattern across different types of high-order image statistics. While L2 was the first stage exhibiting texture selectivity, we found that stages beyond L2 were critically involved in learning. The significant contribution of L4 to learning was manifested both in the modulations of texture-selective responses and in the consequences of training with frozen connection weights. Our findings highlight learning-dependent plasticity in the mid-to-high-level areas of the visual hierarchy. This research introduces an AI-inspired approach for studying learning-induced cortical plasticity, utilizing DCNNs as an experimental framework to formulate testable predictions for empirical brain studies.

关键词： CNN perceptual learning naturalistic texture psychophysics

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Rapid Unconscious Acquisition of Conditioned Fear with Low-Spatial-Frequency but Emotionally Neutral Stimuli

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Research 2024年第1期2023卷 753-762页

作者： Yujie Chen Si Chen Zhongju Sun Xilei Zhang Xiangyong Yuan Liang Wang Yi Jiang State Key laboratory of brain and Cognitive Sciences CAS Center for Excellence in Brain Science and Intelligence TechnologyInstitute of PsychologyChinese Academy of SciencesBeijing 100101China department of psychology University of Chinese Academy of SciencesBeijing 100049China Chinese Institute for brain Research Beijing 102206China CAS Key laboratory of Mental Health Institute of PsychologyChinese Academy of SciencesBeijing 100101China

It has long been proposed that emotionally“prepared”(i.e.,fear-related)stimuli are privileged in the unconscious acquisition of conditioned ***,as fear processing is suggested to highly depend on the coarse,low-spatial-frequency(LSF)components of the fear-related stimuli,it is plausible that LSF may play a unique role in the unconscious fear conditioning even with emotionally neutral ***,we provided empirical evidence that,following classical fear conditioning,an invisible,emotionally neutral conditioned stimulus(CS+)with LSF,but not with high spatial frequency(HSF),can rapidly elicit stronger skin conductance responses(SCRs)and larger pupil diameters than its CS−*** comparison,consciously perceived emotionally neutral CS+with LSF and HSF elicited comparable *** together,these results support that the unconscious fear conditioning does not necessarily entail emotionally prepared stimuli but prioritizes LSF information processing and highlight the crucial distinctions between the unconscious and the conscious fear *** findings not only coincide with the postulation that a rapid,spatial-frequency-dependent subcortical route is engaged in unconscious fear processing but also suggest the existence of multiple routes for conscious fear processing.

关键词： neutral necessarily diameters

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Adaptation of Ocular Opponency Neurons Mediates Attention-Induced Ocular Dominance Plasticity

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Neuroscience Bulletin 2024年第3期40卷 339-349页

作者： Fangxing Song Lili Lyu Min Bao CAS Key laboratory of Behavioral Science Institute of PsychologyChinese Academy of SciencesBeijing100101China department of psychology University of Chinese Academy of SciencesBeijing100049China Institute of Neuroscience Key Laboratory of Primate NeurobiologyCAS Center for Excellence in Brain Science and Intelligence TechnologyChinese Academy of SciencesShanghai200031China

Previous research has shown that ocular dominance can be biased by prolonged attention to one *** ocular-opponency-neuron model of binocular rivalry has been proposed as a candidate account for this *** direct neural evidence is still *** manipulating the contrast of dichoptic testing gratings,here we measured the steady-state visually evoked potentials(SSVEPs)at the intermodulation frequencies to selectively track the activities of ocular-opponency-neurons before and after the“dichoptic-backward-movie”*** hour of adaptation caused a shift of perceptual and neural ocular dominance towards the unattended *** importantly,we found a decrease in the intermodulation SSVEP response after adaptation,which was significantly greater when high-contrast gratings were presented to the attended eye than when they were presented to the unattended *** results strongly support the view that the adaptation of ocular-opponency-neurons contributes to the ocular dominance plasticity induced by prolonged eye-based attention.

关键词： Attention Ocular dominance Opponency neuron Adaptation Steady-state visually evoked potential

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亲子友好城市:人口老龄化问题的城市设计解决方案

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China City Planning Review 2024年第1期33卷 47-57页

作者：蒋黛兰吕金云高杨 department of psychology Tsinghua University tsinghua laboratory of brain and intelligence BeijingP.R.China Child Cognition Center of tsinghua laboratory of brain and intelligence BeijingP.R.China

Caregivers,i.e.,parents,grandparents,and anyone caring for children,make up the majority of users in many urban centers around the world,including in *** urban design and planning rarely consider specific needs of *** can result in a negative perception among people that cities are unfriendly places to raise *** negative perception is among the major contributors to the aging population problem,as parents and parents-to-be feel reluctant to give birth and raise more than one or even any *** an interdisciplinary approach,i.e.,cognitive science,psychology,behavioral economics,and urban studies,this paper examines a new city model of"parent-friendly city,"where urban design serves the needs of caregivers,effectively creating a perception that cities are friendly places for raising ***,we identify that caregivers'needs are characterized by two major factors:provision:parents want to provide for their children,such as providing places for play and learning,and@restoration:parents want to restore things that they lack due to childcare responsibilities,such as lack of rest and interaction with other ***,we offer cognitive-based design principles that can work powerfully and effectively to fll both ***,using real case studies from cities in China and around the world,we illustrate how these design principles work,even reversing caregivers'perception from negative to ***,thoughtful urban design can support parents in raising children,making cities into partners in parenthood.

关键词： urban planning child-friendly city cognitive science aging population parenthood

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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 *** 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 *** to another modality of light,photonic computing has been progressively applied in high-efficient neuromorphic ***,we innovate a reconfigurable lifelong-learning optical neural network(L2 ONN),for highly-integrated tens-of-task machine intelligence with elaborated algorithm-hardware *** 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 *** multi-task optical features are parallelly processed by multi-spectrum representations allocated with different *** 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 ***,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 *** 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

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Distributions of Visual Receptive Fields from Retinotopic to Craniotopic Coordinates in the Lateral Intraparietal Area and Frontal Eye Fields of the Macaque

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Neuroscience Bulletin 2024年第2期40卷 171-181页

作者： Lin Yang Min Jin Cong Zhang Ning Qian Mingsha Zhang Key laboratory of Cognitive Neuroscience and Learning Division of PsychologyBeijing Normal UniversityBeijing 100875China Institute of Neuroscience Key Laboratory of Primate NeurobiologyCAS Center for Excellence in Brain Science and Intelligence TechnologyChinese Academy of SciencesShanghai 200031China department of Neuroscience and Zuckerman Institute Columbia UniversityNew York 10027USA

Even though retinal images of objects change their locations following each eye movement,we perceive a stable and continuous *** possible mechanism by which the brain achieves such visual stability is to construct a craniotopic coordinate by integrating retinal and extraretinal *** have been several proposals on how this may be done,including eye-position modulation(gain fields)of retinotopic receptive fields(RFs)and craniotopic *** the present study,we investigated coordinate systems used by RFs in the lateral intraparietal(LIP)cortex and frontal eye fields(FEF)and compared the two *** mapped the two-dimensional RFs of neurons in detail under two eye fixations and analyzed how the RF of a given neuron changes with eye position to determine its coordinate *** same recording and analysis procedures were applied to the two brain *** found that,in both areas,RFs were distributed from retinotopic to craniotopic *** was no significant difference between the distributions in the LIP and *** a small fraction of neurons was fully craniotopic,whereas most neurons were between the retinotopic and craniotopic *** distributions were strongly biased toward the retinotopic side but with significant craniotopic *** results suggest that there is only weak evidence for craniotopic RFs in the LIP and FEF,and that transformation from retinotopic to craniotopic coordinates in these areas must rely on other factors such as gain fields.

关键词： Reference frames Eye-centered Headcentered Visual stability

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Flexible,high-density,laminated ECoG electrode array for high spatiotemporal resolution foci diagnostic localization of refractory epilepsy

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Bio-Design and Manufacturing 2024年第4期7卷 388-398页

作者： Yafeng Liu Zhouheng Wang Yang Jiao Ying Chen Guangyuan Xu Yinji Ma Xue Feng Applied Mechanics laboratory Department of Engineering MechanicsTsinghua UniversityBeijing 100084China laboratory of Flexible Electronics Technology Tsinghua UniversityBeijing 100084China College of Artificial intelligence Southwest UniversityChongqing 400715China Institute of Flexible Electronics Technology of THU Jiaxing 314000China Qiantang Science and Technology Innovation Center Hangzhou 310016China School of Artificial intelligence Beijing University of Posts and TelecommunicationsBeijing 100876China

High spatiotemporal resolution brain electrical signals are critical for basic neuroscience research and high-precision focus diagnostic localization,as the spatial scale of some pathologic signals is at the submillimeter or micrometer *** entails connecting hundreds or thousands of electrode wires on a limited *** study reported a class of flexible,ultrathin,highdensity electrocorticogram(ECoG)electrode *** challenge of a large number of wiring arrangements was overcome by a laminated structure design and processing technology *** flexible,ultrathin,high-density ECoG electrode array was conformably attached to the cortex for reliable,high spatial resolution electrophysiologic *** minimum spacing between electrodes was 15μm,comparable to the diameter of a single *** hundred electrodes were prepared with an electrode density of 4444 mm^(-2).In focal epilepsy surgery,the flexible,high-density,laminated ECoG electrode array with 36 electrodes was applied to collect epileptic spike waves inrabbits,improving the positioning accuracy of epilepsy lesions from the centimeter to the submillimeter *** flexible,high-density,laminated ECoG electrode array has potential clinical applications in intractable epilepsy and other neurologic diseases requiring high-precision electroencephalogram acquisition.

关键词： Electrocorticogram(ECoG)electrode Epilepsy High density High resolution Laminated structure

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Local field potentials,spiking activity,and receptive fields in human visual cortex

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Science China(Life Sciences) 2024年第3期67卷 543-554页

作者： Lu Luo Xiongfei Wang Junshi Lu Guanpeng Chen Guoming Luan Wu Li Qian Wang Fang Fang School of Psychological and Cognitive Sciences and Beijing Key laboratory of Behavior and Mental Health Peking UniversityBeijing 100871China School of psychology Beijing Sport UniversityBeijing 100084China department of Neurosurgery Sanbo Brain HospitalCapital Medical UniversityBeijing 100093China Beijing Key laboratory of Epilepsy Epilepsy CenterSanbo Brain HospitalCapital Medical UniversityBeijing 100093China IDG/McGovern Institute for brain Research Peking UniversityBeijing 100871China Peking-tsinghua Center for Life Sciences Peking UniversityBeijing 100871China Beijing Institute for brain Disorders Beijing 100069China State Key laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for brain Research Beijing Normal UniversityBeijing 100875China

The concept of receptive field(RF) is central to sensory neuroscience. Neuronal RF properties have been substantially studied in animals,while those in humans remain nearly unexplored. Here, we measured neuronal RFs with intracranial local field potentials(LFPs) and spiking activity in human visual cortex(V1/V2/V3). We recorded LFPs via macro-contacts and discovered that RF sizes estimated from lowfrequency activity(LFA, 0.5–30 Hz) were larger than those estimated from low-gamma activity(LGA, 30–60 Hz) and high-gamma activity(HGA, 60–150 Hz). We then took a rare opportunity to record LFPs and spiking activity via microwires in V1 simultaneously. We found that RF sizes and temporal profiles measured from LGA and HGA closely matched those from spiking activity. In sum, this study reveals that spiking activity of neurons in human visual cortex could be well approximated by LGA and HGA in RF estimation and temporal profile measurement, implying the pivotal functions of LGA and HGA in early visual information processing.

关键词： human visual cortex receptive field intracranial EEG local field potential spiking activity

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Promoting interactions between cognitive science and large language models

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The Innovation 2024年第2期5卷 9-10页

作者： Youzhi Qu Penghui Du Wenxin Che Chen Wei Chi Zhang Wanli Ouyang Yatao Bian Feiyang Xu Bin Hu Kai Du Haiyan Wu Jia Liu Quanying Liu department of Biomedical Engineering Southern University of Science and TechnologyShenzhen 518055China Shanghai AI laboratory Shanghai 200232China Tencent AI Lab Shenzhen 518057China iFLYTEK AI Research Hefei 230088China School of Medical Technology Beijing Institute of TechnologyBeijing 100081China Institute for Artificial intelligence Peking UniversityBeijing 100871China Centre for Cognitive and brain Sciences and department of psychology University of MacaoMacao 999078China department of psychology Tsinghua UniversityBeijing 100084China

Large language models(LLMs)have made unprecedented progress,demonstrating human-like language proficiency and an extraordinary ability to encode complex *** emergence of high-level cognitive capabilities in LLMs,such as in-context learning and complex reasoning,suggests a path toward the realization of artificial general intelligence(AGI).However,we lack scientific theories and tools to assess and interpret such an emergence of the advanced intelligence of *** intelligence(AI)has been extensively applied in various areas of fundamental science to accelerate scientific research.

关键词： cognitive such language

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Theta Oscillations Support Prefrontal-hippocampal Interactions in Sequential Working Memory

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Neuroscience Bulletin 2024年第2期40卷 147-156页

作者： Minghong Su Kejia Hu Wei Liu Yunhao Wu Tao Wang Chunyan Cao Bomin Sun Shikun Zhan Zheng Ye Institute of psychology Chinese Academy of SciencesBeijing 100101China department of psychology University of Chinese Academy of SciencesBeijing 100049China department of Neurosurgery Center for Functional NeurosurgeryRuijin HospitalShanghai Jiao Tong University School of MedicineShanghai 200025China Institute of Neuroscience Center for Excellence in Brain Science and Intelligence TechnologyChinese Academy of SciencesShanghai 200031China

The prefrontal cortex and hippocampus may support sequential working memory beyond episodic memory and spatial *** stereoelectroencephalography(SEEG)study investigated how the dorsolateral prefrontal cortex(DLPFC)interacts with the hippocampus in the online processing of sequential *** patients with epilepsy(eight women,age 27.6±8.2 years)completed a line ordering task with SEEG recordings over the DLPFC and the *** showed longer thinking times and more recall errors when asked to arrange random lines clockwise(random trials)than to maintain ordered lines(ordered trials)before recalling the orientation of a particular ***,the ordering-related increase in thinking time and recall error was associated with a transient theta power increase in the hippocampus and a sustained theta power increase in the DLPFC(3–10 Hz).In particular,the hippocampal theta power increase correlated with the memory precision of line ***,theta phase coherences between the DLPFC and hippocampus were enhanced for ordering,especially for more precisely memorized ***,the theta band DLPFC→hippocampus influence was selectively enhanced for ordering,especially for more precisely memorized *** study suggests that theta oscillations may support DLPFC-hippocampal interactions in the online processing of sequential information.

关键词： Sequential working memory Hippocampus Dorsolateral prefrontal cortex Theta oscillations Stereoelectroencephalography(SEEG) Phase coherence Granger causality

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