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Neural Computation
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2.26
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Papers 2943
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Published on 2019in Neural Computation2.26
Alexander J. A. Ty (UCSD: University of California, San Diego), Zheng Fang1
Estimated H-index: 1
(UCSD: University of California, San Diego)
+ 2 AuthorsHenry D. I. Abarbanel52
Estimated H-index: 52
(UCSD: University of California, San Diego)
Tasking machine learning to predict segments of a time series requires estimating the parameters of a ML model with input/output pairs from the time series. We borrow two techniques used in statist...
Published on 2019in Neural Computation2.26
Chen Beer1
Estimated H-index: 1
(Technion – Israel Institute of Technology),
Omri Barak15
Estimated H-index: 15
(Technion – Israel Institute of Technology)
Artificial neural networks, trained to perform cognitive tasks, have recently been used as models for neural recordings from animals performing these tasks. While some progress has been made in per...
Published on 2019in Neural Computation2.26
B. A. Mitchell (UCSB: University of California, Santa Barbara), N. Lauharatanahirun (UPenn: University of Pennsylvania)+ 4 AuthorsL. R. Petzold (UCSB: University of California, Santa Barbara)
Even highly trained behaviors demonstrate variability, which is correlated with performance on current and future tasks. An objective of motor learning that is general enough to explain these pheno...
Published on 2019in Neural Computation2.26
Yuxiu Shao (PKU: Peking University), Binxu Wang1
Estimated H-index: 1
(WashU: Washington University in St. Louis)
+ 1 AuthorsLouis Tao11
Estimated H-index: 11
(PKU: Peking University)
Cortical oscillations are central to information transfer in neural systems. Significant evidence supports the idea that coincident spike input can allow the neural threshold to be overcome and spi...
Published on 2019in Neural Computation2.26
B. Jagadish1
Estimated H-index: 1
(IITH: Indian Institute of Technology, Hyderabad),
Pradeep Kumar Mishra2
Estimated H-index: 2
(IITH: Indian Institute of Technology, Hyderabad)
+ 1 AuthorsPachamuthu Rajalakshmi9
Estimated H-index: 9
(IITH: Indian Institute of Technology, Hyderabad)
In this article, we propose two novel methods for four-class motor imagery (MI) classification using electroencephalography (EEG). Also, we developed a real-time health 4.0 (H4.0) architecture for ...
Published on Sep 16, 2019in Neural Computation2.26
Terry Elliott15
Estimated H-index: 15
(University of Southampton)
Repeated stimuli that are spaced apart in time promote the transition from short- to long-term memory, while massing repetitions together does not. Previously, we showed that a model of integrative...
Published on Sep 16, 2019in Neural Computation2.26
Xin Yao1
Estimated H-index: 1
(THU: Tsinghua University),
Tianchi Huang1
Estimated H-index: 1
(THU: Tsinghua University)
+ 2 AuthorsLifeng Sun18
Estimated H-index: 18
(THU: Tsinghua University)
Humans are able to master a variety of knowledge and skills with ongoing learning. By contrast, dramatic performance degradation is observed when new tasks are added to an existing neural network m...
Published on Sep 16, 2019in Neural Computation2.26
Roozbeh Farhoodi2
Estimated H-index: 2
(UPenn: University of Pennsylvania),
Khashayar Filom (NU: Northwestern University)+ 1 AuthorsKonrad Paul Kording42
Estimated H-index: 42
(UPenn: University of Pennsylvania)
Any function can be constructed using a hierarchy of simpler functions through compositions. Such a hierarchy can be characterized by a binary rooted tree. Each node of this tree is associated with...
Published on Sep 16, 2019in Neural Computation2.26
Felix Weissenberger3
Estimated H-index: 3
(ETH Zurich),
Marcelo Matheus Gauy1
Estimated H-index: 1
(ETH Zurich)
+ 1 AuthorsAngelika Steger27
Estimated H-index: 27
(ETH Zurich)
In computational neural network models, neurons are usually allowed to excite some and inhibit other neurons, depending on the weight of their synaptic connections. The traditional way to transform...
Published on Sep 16, 2019in Neural Computation2.26
Luis Gonzalo Sanchez Giraldo2
Estimated H-index: 2
(UM: University of Miami),
Odelia Schwartz16
Estimated H-index: 16
(UM: University of Miami)
Deep convolutional neural networks (CNNs) are becoming increasingly popular models to predict neural responses in visual cortex. However, contextual effects, which are prevalent in neural processin...
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