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Sensitivity to Stimulus Irregularity Is Inherent in Neural Networks
作者：Teun van Gils , Paul H. E. Tiesinga , Bernhard Englitz ...
来源：[J].Neural Computation(IF 1.76), 2019, Vol.31 (9), pp.1789-1824麻省理工大学出版社
摘要：Behavior is controlled by complex neural networks in which neurons process thousands of inputs. However, even short spike trains evoked in a single cortical neuron were demonstrated to be sufficient to influence behavior in vivo. Specifically, irregular sequences of interspi...
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    Learning with Precise Spike Times: A New Decoding Algorithm for Liquid State Machines
    作者：Dorian Florescu , Daniel Coca
    来源：[J].Neural Computation(IF 1.76), 2019, Vol.31 (9), pp.1825-1852麻省理工大学出版社
    摘要：There is extensive evidence that biological neural networks encode information in the precise timing of the spikes generated and transmitted by neurons, which offers several advantages over rate-based codes. Here we adopt a vector space formulation of spike train sequences and in...
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      Decoding Hidden Cognitive States From Behavior and Physiology Using a Bayesian Approach
      作者：Ali Yousefi , Ishita Basu , Angelique C. Paulk ...
      来源：[J].Neural Computation(IF 1.76), 2019, Vol.31 (9), pp.1751-1788麻省理工大学出版社
      摘要：Cognitive processes, such as learning and cognitive flexibility, are both difficult to measure and to sample continuously using objective tools because cognitive processes arise from distributed, high-dimensional neural activity. For both research and clinical applications, ...
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        Supervised Determined Source Separation with Multichannel Variational Autoencoder
        作者：Hirokazu Kameoka , Li Li , Shota Inoue ...
        来源：[J].Neural Computation(IF 1.76), 2019, Vol.31 (9), pp.1891-1914麻省理工大学出版社
        摘要：This letter proposes a multichannel source separation technique, the multichannel variational autoencoder (MVAE) method, which uses a conditional VAE (CVAE) to model and estimate the power spectrograms of the sources in a mixture. By training the CVAE using the spectrograms of tr...
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          Hidden Markov Models Predict the Future Choice Better Than a PSTH-Based Method
          作者：Encarni Marcos , Fabrizio Londei , Aldo Genovesio
          来源：[J].Neural Computation(IF 1.76), 2019, Vol.31 (9), pp.1874-1890麻省理工大学出版社
          摘要：Beyond average firing rate, other measurable signals of neuronal activity are fundamental to an understanding of behavior. Recently, hidden Markov models (HMMs) have been applied to neural recordings and have described how neuronal ensembles process information by going through s...
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            A New Nonlinear Sparse Component Analysis for a Biologically Plausible Model of Neurons
            作者：S. M. Heidarieh , M. Jahed , A. Ghazizadeh
            来源：[J].Neural Computation(IF 1.76), 2019, Vol.31 (9), pp.1853-1873麻省理工大学出版社
            摘要：It is known that brain can create a sparse representation of the environment in both sensory and mnemonic forms (Olshausen & Field, 2004 ). Such sparse representation can be combined in downstream areas to create rich multisensory responses to support various cognitive and motor ...
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              The Ẹpa Masquerades of Èkìtì: A Structural Approach
              作者：Will Rea
              来源：[J].African Arts, 2019, Vol.52 (3), pp.16-27麻省理工大学出版社
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                Lost to Fire: The African Collection of the National Museum of Brazil
                作者：Daniel B. Domingues da Silva
                来源：[J].African Arts, 2019, Vol.52 (3), pp.13-15麻省理工大学出版社
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                  Continuity and Change in Nsukka Art: George Odoh's Illustration of Things Fall Apart
                  作者：Chinedu Ene-Orji
                  来源：[J].African Arts, 2019, Vol.52 (3), pp.48-61麻省理工大学出版社
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                    Mary “Polly” Nooter Roberts 1959–2018
                    作者：Karen E. Milbourne , Susan M. Vogel , Donald J. Cosentino
                    来源：[J].African Arts, 2019, Vol.52 (3), pp.9-12麻省理工大学出版社
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