Results 81 to 90 of about 2,193,097 (217)

Theoretical Interpretations and Applications of Radial Basis Function Networks [PDF]

, 2003
Medical applications usually used Radial Basis Function Networks just as Artificial Neural Networks. However, RBFNs are Knowledge-Based Networks that can be interpreted in several way: Artificial Neural Networks, Regularization Networks, Support Vector ...
Blanzieri, Enrico
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Artificial neural networks [PDF]

, 2017
Nowadays we are living in the age of computers, and we are systematically making our way to creating artificial intelligence. In addition, one of possible directions to make AI come true is to find the way of generalizing ...
Korotenko, L.M., Nechai, N.M., Teslenko, Svyatoslav   +2 more
core  

Distinct dimensions of emotion in the human brain and their representation on the cortical surface

NeuroImage, 2020
We experience a rich variety of emotions in daily life, and a fundamental goal of affective neuroscience is to determine how these emotions are represented in the brain. Recent psychological studies have used naturalistic stimuli (e.g., movies) to reveal
Naoko Koide-Majima, Tomoya Nakai, Shinji Nishimoto   +2 more
doaj   +1 more source

Verifying Properties of Binarized Deep Neural Networks

, 2018
Understanding properties of deep neural networks is an important challenge in deep learning. In this paper, we take a step in this direction by proposing a rigorous way of verifying properties of a popular class of neural networks, Binarized Neural ...
Kasiviswanathan, Shiva Prasad, Narodytska, Nina, Ryzhyk, Leonid, Sagiv, Mooly, Walsh, Toby   +4 more
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ARTIFICIAL NEURAL NETWORKS AND THEIR APPLICATIONS IN BUSINESS [PDF]

In modern software implementations of artificial neural networks the approach inspired by biology has more or less been abandoned for a more practical approach based on statistics and signal processing. In some of these systems, neural networks, or parts
Iordache Ana Maria Mihaela
core  

Compact and low-power wireless headstage for electrocorticography recording of freely moving primates in a home cage

Frontiers in Neuroscience
ObjectiveWireless electrocorticography (ECoG) recording from unrestrained nonhuman primates during behavioral tasks is a potent method for investigating higher-order brain functions over extended periods.
Taro Kaiju, Masato Inoue, Masayuki Hirata, Masayuki Hirata, Takafumi Suzuki   +4 more
doaj   +1 more source

Simplicial Neural Networks

, 2020
We present simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called simplicial complexes. These are natural multi-dimensional extensions of graphs that encode not only pairwise relationships but also higher-order interactions between vertices - allowing us to consider richer ...
Michaël Defferrard, Stefania Ebli, Gard Spreemann   +2 more
openaire   +2 more sources

On the Kolmogorov neural networks

Neural Networks
14 pages, 1 figure; this article uses material from arXiv:2012 ...
Aysu Ismayilova, Vugar E. Ismailov
openaire   +5 more sources

Subrecursive neural networks

Neural Networks, 2019
It has been known for discrete-time recurrent neural networks (NNs) that binary-state models using the Heaviside activation function (with Boolean outputs 0 or 1) are equivalent to finite automata (level 3 in the Chomsky hierarchy), while analog-state NNs with rational weights, employing the saturated-linear function (with real-number outputs in the ...
openaire   +4 more sources

Analysis of the Neural Network Regulating the Cardio-Renal System in the Central Nervous System ofHelix pomatiaL. [PDF]

, 1979
Katalin S.-Rózsa
openalex   +1 more source