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检索条件"机构=Machine Learning and Robotics Laboratory"
57 条 记 录,以下是31-40 订阅
排序:
Bursting activity interplay in modular neural networks in vitro  3
Bursting activity interplay in modular neural networks in vi...
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3rd International Conference "Neurotechnologies and Neurointerfaces", CNN 2021
作者: Gladkov, Arseniy Pigareva, Yana Kolpakov, Vladimir Mukhina, Irina Bukatin, Anton Kazantsev, Victor Pimashkin, Alexey Cell Technology Department Central Research Laboratory Privolzhsky Research Medical University Nizhny Novgorod Russia Neurotechnology Department Lobachevsky State University of Nizhny Novgorod Nizhny Novgorod Russia Laboratory of Renewable Energy Sources Alferov Saint-Petersburg National Research Academic University of the Russian Academy of Sciences Saint-Petersburg Russia Laboratory of Bio and Chemosensor Microsystems Institute for Analytical Instrumentation of the RAS Saint-Petersburg Russia Neuroscience and Cognitive Technology Laboratory Center for Technologies in Robotics and Mechatronics Components Innopolis University Innopolis Russia Center for Neurotechnology and Machine Learning Immanuel Kant Baltic Federal University Kaliningrad Russia NeurotechnologyDepartment Lobachevsky State University of Nizhny Novgorod Nizhny Novgorod Russia
Neural networks modularity is a major challenge to study spiking pattern propagation and information processing in the brain. Sparse and heterogeneous connectivity between network modules defines spiking activity gene... 详细信息
来源: 评论
Model of ‘implant-host’ neural circuits in a microfluidic chip in vitro  8
Model of ‘implant-host’ neural circuits in a microfluidic ...
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8th International School and Conference "Saint Petersburg OPEN 2021" on Optoelectronics, Photonics, Engineering and Nanostructures, SPbOPEN 2021
作者: Kolpakov, V.N. Pigareva, Y.I. Gladkov, A.A. Bukatin, A.S. Kazantsev, V.B. Mukhina, I.V. Pimashkin, A.S. Neurotechnology Department Lobachevsky State University of Nizhny Novgorod Nizhny Novgorod603950 Russia Cell Technology Department Central Research Laboratory Privolzhsky Research Medical University Nizhny Novgorod603005 Russia Laboratory of Renewable Energy Sources Alferov Saint-Petersburg National Research Academic University of the Russian Academy of Sciences Saint-Petersburg194021 Russia Laboratory of Bio and Chemosensor Microsystems Institute for Analytical Instrumentation of the RAS Saint-Petersburg198095 Russia Neuroscience and Cognitive Technology Laboratory Center for Technologies in Robotics and Mechatronics Components Innopolis University 1 Universitetskaya Str. Innopolis420500 Russia Center for Neurotechnology and Machine Learning Immanuel Kant Baltic Federal University 14 Nevsky Str. Kaliningrad236016 Russia
In this study, we developed a new model of neuronal cells plating into a developed neural network to study functional integration using microfluidic methods. The integration was modeled in a three-chamber microfluidic... 详细信息
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Neural dynamical systems: Balancing structure and flexibility in physical prediction
arXiv
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arXiv 2020年
作者: Mehta, Viraj Char, Ian Neiswanger, Willie Chung, Youngseog Nelson, Andrew Oakleigh Boyer, Mark D. Kolemen, Egemen Schneider, Jeff Robotics Institute Carnegie Mellon University United States Machine Learning Department Carnegie Mellon University United States Princeton Plasma Physics Laboratory United States
We introduce Neural Dynamical Systems (NDS), a method of learning dynamical models in various gray-box settings which incorporates prior knowledge in the form of systems of ordinary differential equations. NDS uses ne... 详细信息
来源: 评论
Performance Optimization of Wildlife Recognition with Distributed learning in Ecological Surveillance
Performance Optimization of Wildlife Recognition with Distri...
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IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems
作者: Wan Dai Hongpeng Wang Yulin Song Yunwei Xin Tianjin Key Laboratory of Intelligent Robotics Tianjin Research Laboratory of Machine Learning and Pervasive Computing Nankai University Tianjin
Recently, deep learning technology has been widely used in ecological environment monitoring, but there are still huge challenges in specific tasks. For example, data sets have increased over the past few years, and i... 详细信息
来源: 评论
Neuromorphic system development based on adaptive neuronal network to modulate synaptic transmission in hippocampus  3
Neuromorphic system development based on adaptive neuronal n...
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3rd International Conference "Neurotechnologies and Neurointerfaces", CNN 2021
作者: Lebedeva, Albina Gerasimova, Svetlana Fedulina, Anastasiya Mishchenko, Mikhail Beltyukova, Anna Matveeva, Mariya Mikhaylov, Alexey Pisarchik, Alexander Kazantsev, Victor Neurotechnologies Department N.I. Lobachevsky State University of Nizhny Novgorod Nizhny Novgorod Russia Laboratory of Physics and Technology of Thin Films Department of Solid State Electronics and Optoelectronics Research Institute of Physics and Technology N.I. Lobachevsky State University of Nizhny Novgorod Nizhny Novgorod Russia Department of Theory of Oscillations and Automatic Control Faculty of Radiophysics N.I. Lobachevsky State University of Nizhny Novgorod Nizhny Novgorod Russia Center for Biomedical Technology Technical University of Madrid Pozuelo de Alarcón Madrid Spain Center for Technologies in Robotics and Mechatronics Component Innopolis University Innopolis Russia Center for Neurotechnology and Machine Learning Immanuel Kant Baltic Federal University Kaliningrad Russia
The project presents fundamental research on the development of concept and basic components of physical circuit based on optoelectronic elements (neuromorphic generators, memristors, optical fibers). This network can... 详细信息
来源: 评论
Spatial computing in structured spiking neural networks with a robotic embodiment
arXiv
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arXiv 2021年
作者: Lobov, Sergey A. Mikhaylov, Alexey N. Berdnikova, Ekaterina S. Makarov, Valeri A. Kazantsev, Victor B. Lobachevsky State University of Nizhny Novgorod Gagarin Ave. 23 Nizhny Novgorod603950 Russia Neuroscience and Cognitive Technology Laboratory Center for Technologies in Robotics and Mechatronics Components Innopolis University Universitetskaya Str. 1 Innopolis420500 Russia Center For Neurotechnology and Machine Learning Immanuel Kant Baltic Federal University Kaliningrad Russia Instituto de Matemática Interdisciplinar F. de Ciencias Matemáticas Universidad Complutense de Madrid Madrid28040 Spain
One of the challenges of modern neurosciwence is creating a "living computer" based on neural networks grown in vitro. Such an artificial device is supposed to perform neurocomputational tasks and interact w... 详细信息
来源: 评论
LNQ 2023 challenge: Benchmark of weakly-supervised techniques for mediastinal lymph node quantification
arXiv
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arXiv 2024年
作者: Dorent, Reuben Khajavi, Roya Idris, Tagwa Ziegler, Erik Somarouthu, Bhanusupriya Jacene, Heather LaCasce, Ann Deissler, Jonathan Ehrhardt, Jan Engelson, Sofija Fischer, Stefan M. Gu, Yun Handels, Heinz Kasai, Satoshi Kondo, Satoshi Maier-Hein, Klaus Schnabel, Julia A. Wang, Guotai Wang, Litingyu Wald, Tassilo Yang, Guang-Zhong Zhang, Hanxiao Zhang, Minghui Pieper, Steve Harris, Gordon Kikinis, Ron Kapur, Tina Brigham and Women’s Hospital Harvard Medical School BostonMA United States Massachusetts General Hospital Harvard Medical School BostonMA United States Yunu Inc. CaryNC United States Isomics Inc CambridgeMA United States Dana-Farber Cancer Institute BostonMA United States Technical University Munich Munich Germany Institute of Machine Learning in Biomedical Imaging Helmholtz Munich Munich Germany Munich Germany School of Biomedical Engineering and Imaging Sciences King’s College London London United Kingdom Institute of Medical Informatics University of Lübeck Lübeck Germany German Research Center for Artificial Intelligence Lübeck Germany Niigata University of Health and Welfare Niigata Japan Muroran Institute of Technology Hokkaido Japan Institute of Medical Robotics Shanghai Jiao Tong University Shanghai China University of Electronic Science and Technology of China Chengdu China Heidelberg Germany University of Heidelberg Heidelberg Germany Shanghai AI laboratory Shanghai China
Accurate assessment of lymph node size in 3D CT scans is crucial for cancer staging, therapeutic management, and monitoring treatment response. Existing state-of-the-art segmentation frameworks in medical imaging ofte... 详细信息
来源: 评论
Relevance attack on detectors
arXiv
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arXiv 2020年
作者: Chen, Sizhe He, Fan Huang, Xiaolin Zhang, Kun Department of Automation The Institute of Medical Robotics The MOE Key Laboratory of System Control and Information Processing Shanghai Jiao Tong University 800 Dongchuan Road Shanghai200240 China Philosophy Department and Machine Learning Department Carnegie Mellon University 5000 Forbes Ave PittsburghPA15213 United States
This paper focuses on high-transferable adversarial attacks on detectors, which are hard to attack in a black-box manner, because of their multiple-output characteristics and the diversity across architectures. To pur... 详细信息
来源: 评论
Depth selection for deep ReLU nets in feature extraction and generalization
arXiv
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arXiv 2020年
作者: Han, Zhi Yu, Siquan Lin, Shao-Bo Zhou, Ding-Xuan State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China School of Information Science and Engineering Northeastern University Shenyang China Center of Intelligent Decision-Making and Machine Learning School of Management Xi'an Jiaotong University Xi'an China School of Data Science Department of Mathematics City University of Hong Kong Hong Kong
Deep learning is recognized to be capable of discovering deep features for representation learning and pattern recognition without requiring elegant feature engineering techniques by taking advantage of human ingenuit... 详细信息
来源: 评论
Astrocytes mediate analogous memory in a multi-layer neuron-astrocytic network
arXiv
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arXiv 2021年
作者: Tsybina, Yuliya Kastalskiy, Innokentiy Krivonosov, Mikhail Zaikin, Alexey Kazantsev, Victor Gorban, Alexander Gordleeva, Susanna Scientific and Educational Mathematical Center 'Mathematics of Future Technology' Lobachevsky State University of Nizhny Novgorod Nizhny Novgorod Russia Laboratory of Autowave Processes Institute of Applied Physics Russian Academy of Sciences Nizhny Novgorod Russia Neuroscience and Cognitive Technology Laboratory Center for Technologies in Robotics and Mechatronics Components Innopolis University Innopolis Russia Center for Neurotechnology and Machine Learning Immanuel Kant Baltic Federal University Kaliningrad Russia Neuroscience Research Institute Samara State Medical University Samara Russia Dept of Mathematics Leicester University Leicester United Kingdom Centre for Analysis of Complex Systems Sechenov First Moscow State Medical University Sechenov University Moscow Russia Institute for Women's Health and Department of Mathematics University College London London United Kingdom
Modeling the neuronal processes underlying short-term working memory remains the focus of many theoretical studies in neuroscience. Here we propose a mathematical model of spiking neuron network (SNN) demonstrating ho... 详细信息
来源: 评论