Results 91 to 100 of about 2,193,097 (217)

Antisymmetrical neural networks

Discrete Applied Mathematics, 1986
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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In-network Neural Networks

, 2018
We present N2Net, a system that implements binary neural networks using commodity switching chips deployed in network switches and routers. Our system shows that these devices can run simple neural network models, whose input is encoded in the network packets' header, at packet processing speeds (billions of packets per second).
Siracusano, Giuseppe, Bifulco, Roberto
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Backward masking, disinhibition, and hypothesized neural networks [PDF]

, 1971
Daniel N. Robinson
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Detailed analysis of drift diffusion model parameters estimated for the ultimatum game

Neuroscience Research
Bargaining is fundamental in human social interactions and often studied using the ultimatum game, where a proposer offers a division of resources, and the responder decides whether to accept or reject it.
Shotaro Numano, Masahiko Haruno
doaj   +1 more source

Neuronal Substrates Underlying Performance Variability in Well-Trained Skillful Motor Task in Humans

Neural Plasticity, 2016
Motor performance fluctuates trial by trial even in a well-trained motor skill. Here we show neural substrates underlying such behavioral fluctuation in humans.
Nobuaki Mizuguchi, Shintaro Uehara, Satoshi Hirose, Shinji Yamamoto, Eiichi Naito   +4 more
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The Effect of Synapses Destruction on Categorization by Neural Networks [PDF]

, 1988
M. A. Virasoro
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Comparison Between Kanerva's SDM and Hopfield‐type Neural Networks [PDF]

, 1988
James D. Keeler
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Distinct associations between gratitude, self-esteem, and optimism with subjective and psychological well-being among Japanese individuals

BMC Psychology
Background Mounting evidence suggests that the effectiveness of positive psychology interventions is influenced by a variety of factors, including cultural context.
Norberto Eiji Nawa, Noriko Yamagishi
doaj   +1 more source

The ultrametric organization of memories in a neural network [PDF]

, 1986
Néstor Parga, M. A. Virasoro
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Progressive Neural Networks

, 2016
Learning to solve complex sequences of tasks--while both leveraging transfer and avoiding catastrophic forgetting--remains a key obstacle to achieving human-level intelligence. The progressive networks approach represents a step forward in this direction:
Desjardins, Guillaume, Hadsell, Raia, Kavukcuoglu, Koray, Kirkpatrick, James, Pascanu, Razvan, Rabinowitz, Neil C., Rusu, Andrei A., Soyer, Hubert   +7 more
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