Suchergebnisse - distributed neural computation

A high-precision distributed neural processor for efficient computation of a new distributed FxSMAP-L algorithm applied to real-time active noise control systems von Maya, Xochitl, Garcia, Luis, Vazquez, Angel, Pichardo, Eduardo, Sanchez, Juan-Carlos, Perez, Hector, Avalos, Juan-Gerardo, Sanchez, Giovanny

“… As a consequence, the ANC system demands a large amount of computation. One potential solution can be given if the information is partitioned and distributed into several …”
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Deep Randomized Distributed Function Computation (DeepRDFC): Neural Distributed Channel Simulation von Bergstrom, Didrik, Gunlu, Onur

“… The randomized distributed function computation (RDFC) framework, which unifies many cutting-edge distributed computation and learning applications, is considered. An autoencoder (AE …”
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Secure multi-party computation in deep learning : Enhancing privacy in distributed neural networks von Sagar, P. Vidya, Ghanimi, Hayder M. A., Prabhu, L. Arokia Jesu, Raja, L., Dadheech, Pankaj, Sengan, Sudhakar

“… Ensuring data privacy while applying Deep Learning (DL) on distributed datasets represents an essential task in the current period of critical data security …”
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Distributed neural computation and the evolution of the first brains von Chandra, Vikram, Nejad, Mehrana R, Kann, Allison P, Salem, Ananya, Hill, Karl A P, Mahadevan, L, Srivastava, Mansi

“… Neural cell type markers are also distributed across the brain with little regionalization …”
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Distributed Dynamical Computation in Neural Circuits with Propagating Coherent Activity Patterns von Gong, Pulin, van Leeuwen, Cees

“… Activity in neural circuits is spatiotemporally organized. Its spatial organization consists of multiple, localized coherent patterns, or patchy clusters …”
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Efficient Distributed Mapping-Based Computation for Convolutional Neural Networks in Multi-Core Embedded Parallel Environment von Jia, Long, Li, Gang, Lu, Meili, Wei, Xile, Yi, Guosheng

“… To deploy deep convolutional neural networks (CNNs) in this embedded parallel environment, a distributed mapping mechanism was proposed to efficiently decentralize computation tasks in the form of a multi-branch assembly line …”
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Breaking the Curse of Dimensionality with Distributed Neural Computation von Haitz Sáez de Ocáriz Borde, Furuya, Takashi, Kratsios, Anastasis, Law, Marc T

“… We present a theoretical approach to overcome the curse of dimensionality using a neural computation algorithm which can be distributed across several machines …”
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Residual dynamics resolves recurrent contributions to neural computation von Galgali, Aniruddh R., Sahani, Maneesh, Mante, Valerio

“… Relating neural activity to behavior requires an understanding of how neural computations arise from the coordinated dynamics of distributed, recurrently connected neural populations …”
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Distributed Computation Offloading in Mobile Fog Computing: A Deep Neural Network Approach von Yang, Zhongjun, Bai, Wenle

“… To solve binary computational offloading decision problem, a learning offloading algorithm based on distributed DNN is proposed, which uses multiple parallel DNNs to generate offloading decisions …”
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Data Flow and Distributed Deep Neural Network based low latency IoT-Edge computation model for big data environment von Veeramanikandan, Sankaranarayanan, Suresh, Rodrigues, Joel J.P.C., Sugumaran, Vijayan, Kozlov, Sergei

“… latency, bandwidth consumption, and everlasting network connectivity. For analytics in Edge computing, which is distributed in nature, the trend is more towards distributed machine learning …”
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MSB-First Distributed Arithmetic Circuit for Convolution Neural Network Computation von Shuvo, Md Kamruzzaman, Thompson, David E, Wang, Haibo

“… This paper presents a novel circuit implementation for convolution filters and rectified linear activation function used in deep neural networks …”
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Distributed Dynamical Computation in Neural Circuits with Propagating Coherent Activity Patterns: e1000611 von Gong, Pulin, Leeuwen, Cees van

“… Activity in neural circuits is spatiotemporally organized. Its spatial organization consists of multiple, localized coherent patterns, or patchy clusters …”
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Exponential Stability of Almost Periodic Solutions for Memristor-Based Neural Networks with Distributed Leakage Delays von Xu, Changjin, Li, Peiluan, Pang, Yicheng

“… In this letter, we deal with a class of memristor-based neural networks with distributed leakage delays …”
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Distributed dynamical computation in neural circuits with propagating coherent activity patterns von Gong, Pulin, van Leeuwen, Cees

“… Activity in neural circuits is spatiotemporally organized. Its spatial organization consists of multiple, localized coherent patterns, or patchy clusters …”
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Artificial Neural Network Computation Acceleration Apparatus for Distributed Processing, Artificial Neural Network Acceleration System Using Same, and Artificial Neural Network Acceleration Method Therefor

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US Patent Issued to DEEPER-I on Oct. 28 for "Artificial neural network computation acceleration apparatus for distributed processing, artificial neural network acceleration system using same, and artificial neural network acceleration method therefor" (South Korean Inventors)

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Neural codes and distributed representations: Foundations of neural computation

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Distributed biological computation: from oscillators, logic gates and switches to a multicellular processor and neural computing applications von Moškon, Miha, Komac, Roman, Zimic, Nikolaj, Mraz, Miha

“… In the beginning, engineered biological computation has mainly been based on uncoupled monoclonal cellular populations …”
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White matter disconnection of left multiple demand network is associated with post-lesion deficits in cognitive control von Jiang, Jiefeng, Bruss, Joel, Lee, Woo-Tek, Tranel, Daniel, Boes, Aaron D.

“… Cognitive control is enabled by the neural computations distributed over cortical and subcortical areas …”
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A neural machine code and programming framework for the reservoir computer von Kim, Jason Z., Bassett, Dani S.

“… From logical reasoning to mental simulation, biological and artificial neural systems possess an incredible capacity for computation …”
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