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检索条件"机构=Computer Science and Engineering and Cognitive Science and Brain Science Programs"
569 条 记 录,以下是121-130 订阅
排序:
Designing Perceptual Puzzles by Differentiating Probabilistic programs  22
Designing Perceptual Puzzles by Differentiating Probabilisti...
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ACM SIGGRAPH 2022 Conference Proceedings
作者: Kartik Chandra Tzu-Mao Li Joshua Tenenbaum Jonathan Ragan-Kelley Computer Science & Artificial Intelligence Laboratory (CSAIL) Massachusetts Institute of Technology (MIT) United States of America Department of Computer Science and Engineering (CSE) University of California San Diego United States of America Department of Brain and Cognitive Sciences (BCS) Center for Brains Minds & Machines (CBMM) Computer Science & Artificial Intelligence Laboratory (CSAIL) Massachusetts Institute of Technology (MIT) United States of America
We design new visual illusions by finding “adversarial examples” for principled models of human perception — specifically, for probabilistic models, which treat vision as Bayesian inference. To perform this search ... 详细信息
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Sex differences in autism spectrum disorder using class imbalance adjusted functional connectivity
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NeuroImage 2024年 304卷 120956-120956页
作者: Namgung, Jong Young Mun, Jongmin Park, Yeongjun Kim, Jaeoh Park, Bo-yong Department of Data Science Inha University Incheon South Korea Data Sciences and Operations Department Marshall School of Business University of Southern California Los Angeles United States Department of Electrical and Computer Engineering Sungkyunkwan University Suwon South Korea Department of Brain and Cognitive Engineering Korea University Seoul South Korea Center for Neuroscience Imaging Research Institute for Basic Science Suwon South Korea
Autism spectrum disorder (ASD) is an atypical neurodevelopmental condition with a diagnostic ratio largely differing between male and female participants. Due to the sex imbalance in participants with ASD, we lack an ... 详细信息
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ON THE WEAKNESSES OF REINFORCEMENT LEARNING FOR NEURAL MACHINE TRANSLATION  8
ON THE WEAKNESSES OF REINFORCEMENT LEARNING FOR NEURAL MACHI...
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8th International Conference on Learning Representations, ICLR 2020
作者: Choshen, Leshem Fox, Lior Aizenbud, Zohar Abend, Omri School of Computer Science and Engineering The Edmond and Lily Safra Center for Brain Sciences Israel Department of Cognitive Sciences The Hebrew University of Jerusalem Israel
Reinforcement learning (RL) is frequently used to increase performance in text generation tasks, including machine translation (MT), notably through the use of Minimum Risk Training (MRT) and Generative Adversarial Ne... 详细信息
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Computational neuroscience:a frontier of the 21st century
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National science Review 2020年 第9期7卷 1418-1422页
作者: Xiao-Jing Wang Hailan Hu Chengcheng Huang Henry Kennedy Chengyu Tony Li Nikos Logothetis Zhong-Lin Lu Qingming Luo Mu-ming Poo Doris Tsao Si Wu Zhaohui Wu Xu Zhang Douglas Zhou Center for Neural Science New York University Center for Neuroscience Key Laboratory of Medical Neurobiology of the Ministry of Health of China School of Medicine Zhejiang University Department of Neuroscience and Department of Mathematics Center for the Neural Basis of Cognition University of Pittsburgh Université Claude Bernard Lyon 1 Inserm Stem Cell and Brain Research Institute U1208 Institute of Neuroscience State Key Laboratory of Neuroscience Chinese Academy of SciencesCAS Center for Excellence in Brain Science and Intelligence Technology Shanghai Center for Brain Science and Brain-Inspired Technology Division of Arts and Sciences and NYU-ECNU Institute of Cognitive Neuroscience NYU Shanghai School of Biomedical Engineering Hainan University Huazhong University of Science and Technology-Suzhou Institute for Brainsmatics Division of Biology and Biological Engineering California Institute of Technology Howard Hughes Medical Institute School of Electronics Engineering and Computer Science IDG/Mc Govern Institute for Brain Research PKU-Tsinghua Center for Life SciencesPeking University College of Computer Science and Technology Zhejiang University Institute of Brain-Intelligence Science and Technology Zhangjiang Lab School of Mathematical Sciences MOE-LSCand Institute of Natural Sciences Shanghai Jiao Tong University
THEORY IN NEUROscience The human brain is a biological organ,weighing about three pounds or 1.4 kg,that determines our behaviors, thoughts,emotions and consciousness. Although comprising only 2%of the total body weigh...
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Reler: Relearning Controversial Regions to Accurately Segment Nasopharyngeal Carcinoma
Reler: Relearning Controversial Regions to Accurately Segmen...
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2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022
作者: Tao, Guihua Li, Haojiang Lu, Dandan Ling, Ziqin Liu, Lizhi Cai, Hongmin South China University of Technology School of Computer Science and Engineering Guangzhou China Sun Yat-sen University Cancer Center Sun Yat-sen University State Key Laboratory of Oncology in South China Collaborative Innovation Center for Cancer Medicine Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy Guangzhou China Pazhou Lab Brain and Affective Cognitive Research Center Guangzhou China
Accurate nasopharyngeal carcinoma (NPC) segmentation is significant in preventing local recurrence and improving patients' survival rates. However, existing deep learning-based methods often yield unsatisfactory s... 详细信息
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SONIA: an immersive customizable virtual reality system for the education and exploration of brain networks
arXiv
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arXiv 2023年
作者: Hellum, Owen Steele, Christopher Xiao, Yiming Department of Computer Science and Software Engineering Concordia University MontrealQC Canada Department of Psychology Concordia University MontrealQC Canada PERFORM Centre Concordia University MontrealQC Canada Department of Neurology Max Planck Institute for Human Cognitive and Brain Sciences Leipzig Germany
While mastery of neuroanatomy is important for the investigation of the brain, there is an increasing interest in exploring the neural pathways to better understand the roles of neural circuitry in brain functions. To... 详细信息
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Adversarially trained neural representations may already be as robust as corresponding biological neural representations
arXiv
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arXiv 2022年
作者: Guo, Chong Lee, Michael J. Leclerc, Guillaume Dapello, Joel Rao, Yug Madry, Aleksander DiCarlo, James J. McGovern Institute for Brain Research MIT United States Department of Brain and Cognitive Sciences MIT United States Center for Brains Minds and Machines MIT United States Computer Science and Artificial Intelligence Laboratory MIT United States School of Engineering and Applied Sciences Harvard University United States Purdue University United States Department of Electrical Engineering and Computer Science MIT United States
Visual systems of primates are the gold standard of robust perception. There is thus a general belief that mimicking the neural representations that underlie those systems will yield artificial visual systems that are... 详细信息
来源: 评论
Human Decision-making is Susceptible to AI-driven Manipulation
arXiv
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arXiv 2025年
作者: Sabour, Sahand Liu, June M. Liu, Siyang Yao, Chris Z. Cui, Shiyao Zhang, Xuanming Zhang, Wen Cao, Yaru Bhat, Advait Guan, Jian Wu, Wei Mihalcea, Rada Althoff, Tim Lee, Tatia M.C. Huang, Minlie The CoAI Group DCST Institute for Artificial Intelligence Tsinghua University Beijing China State Key Laboratory of Brain and Cognitive Sciences The University of Hong Kong Hong Kong Laboratory of Neuropsychology and Human Neuroscience The University of Hong Kong Hong Kong The LIT Group Department of Computer Science and Engineering University of Michigan Ann Arbor United States Department of Psychology University of International Relations Beijing China Department of Chinese Language and Literature Northwest Minzu University Lanzhou China Paul G. Allen School of Computer Science and Engineering University of Washington SeattleWA United States ANT Group China
Artificial Intelligence (AI) systems are increasingly intertwined with daily life, assisting users in executing various tasks and providing guidance on decision-making. This integration introduces risks of AI-driven m... 详细信息
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How does the primate brain combine generative and discriminative computations in vision?
arXiv
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arXiv 2024年
作者: Peters, Benjamin DiCarlo, James J. Gureckis, Todd Haefner, Ralf Isik, Leyla Tenenbaum, Joshua Konkle, Talia Naselaris, Thomas Stachenfeld, Kimberly Tavares, Zenna Tsao, Doris Yildirim, Ilker Kriegeskorte, Nikolaus Zuckerman Mind Brain Behavior Institute Columbia University United States School of Psychology & Neuroscience University of Glasgow United Kingdom Department of Brain and Cognitive Sciences MIT United States McGovern Institute for Brain Research MIT United States NSF Center for Brains Minds and Machines MIT United States Quest for Intelligence Schwarzman College of Computing MIT United States Department of Psychology New York University United States Brain and Cognitive Sciences University of Rochester United States Center for Visual Science University of Rochester United States Department of Cognitive Science Johns Hopkins University United States Computer Science and Artificial Intelligence Laboratory MIT United States Department of Psychology Harvard University United States Center for Brain Science Harvard University United States Kempner Institute for Natural and Artificial Intelligence Harvard University United States Department of Neuroscience University of Minnesota United States DeepMind United Kingdom Data Science Institute Columbia University United States Dept of Molecular & Cell Biology University of California Berkeley United States Howard Hughes Medical Institute United States Department of Psychology Yale University United States Department of Statistics and Data Science Yale University United States Department of Psychology Columbia University United States Department of Neuroscience Columbia University United States Department of Electrical Engineering Columbia University United States
Vision is widely understood as an inference problem. However, two contrasting conceptions of the inference process have each been influential in research on biological vision as well as the engineering of machine visi... 详细信息
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A Comprehensive Survey of Foundation Models in Medicine
arXiv
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arXiv 2024年
作者: Khan, Wasif Leem, Seowung See, Kyle B. Wong, Joshua K. Zhang, Shaoting Fang, Ruogu J. Crayton Pruitt Family Department of Biomedical Engineering Herbert Wertheim College of Engineering University of Florida GainesvilleFL United States Norman Fixel Institute for Neurological Diseases University of Florida GainesvilleFL United States Department of Neurology University of Florida GainesvilleFL United States Department of Computer Science The University of North Carolina at Charlotte CharlotteNC United States Center for Cognitive Aging and Memory McKnight Brain Institute University of Florida GainesvilleFL United States Department of Electrical and Computer Engineering Herbert Wertheim College of Engineering University of Florida GainesvilleFL United States Department of Computer Information Science Engineering Herbert Wertheim College of Engineering University of Florida GainesvilleFL United States
Foundation models (FMs) are large-scale deep learning models trained on massive datasets, often using self-supervised learning techniques. These models serve as a versatile base for a wide range of downstream tasks, i... 详细信息
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