Results 11 to 20 of about 2,193,097 (217)
Scientific Reports, 2022 While information enriches daily life, it can also sometimes have a negative impact, depending on an individual’s mental state. We recorded electroencephalogram (EEG) signals from depressed and non-depressed individuals classified based on the Beck ...
Kohei Fuseda +5 more
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The World as a Neural Network [PDF]
Entropy, 2020 We discuss a possibility that the entire universe on its most fundamental level is a neural network. We identify two different types of dynamical degrees of freedom: “trainable” variables (e.g., bias vector or weight matrix) and “hidden” variables (e.g., state vector of neurons).
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Frontiers in Neuroanatomy, 2016 As an important component of ascending activating systems, brainstem cholinergic neurons in the pedunculopontine tegmental nucleus (PPTg) are involved in the regulation of motor control (locomotion, posture and gaze) and cognitive processes (attention ...
Fumika Mori +7 more
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Contour detection by CORF operator [PDF]
, 2012 We propose a contour operator, called CORF, inspired by the properties of simple cells in visual cortex. It combines, by a weighted geometric mean, the blurred responses of difference-of-Gaussian operators that model cells in the lateral geniculate ...
22nd International Conference on Artificial Neural Networks +2 more
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Neural network approximation [PDF]
Acta Numerica, 2021 Neural networks (NNs) are the method of choice for building learning algorithms. They are now being investigated for other numerical tasks such as solving high-dimensional partial differential equations. Their popularity stems from their empirical success on several challenging learning problems (computer chess/Go, autonomous navigation, face ...
Ronald A. DeVore +2 more
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Frontiers in Systems Neuroscience, 2016 The pedunculopontine tegmental nucleus (PPTg) in the brainstem plays a role in controlling reinforcement learning and executing conditioned behavior. We previously examined activity of PPTg neurons in monkeys during a reward-conditioned, visually guided ...
Ken-ichi Okada +4 more
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A new neural network technique for the design of multilayered microwave shielded bandpass filters [PDF]
, 2009 In this work, we propose a novel technique based on neural networks, for the design of microwave filters in shielded printed technology. The technique uses radial basis function neural networks to represent the non linear relations between the quality ...
Cañete Rebenaque, David +4 more
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Adaptive Learning Gabor Filter for Finger-Vein Recognition
IEEE Access, 2019 Presently, finger-vein recognition is a new research direction in the field of biometric recognition. The Gabor filter has been extensively used for finger-vein recognition; however, its parameters are difficult to adjust.
Yakun Zhang +5 more
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BMC Psychology, 2021 Background Past studies have associated gratitude interventions with a host of positive outcomes. However, there is a dearth of research regarding the impact such interventions have on the academic motivation of university students, thought to be a ...
Norberto Eiji Nawa, Noriko Yamagishi
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Frontiers in Psychology, 2015 One form of communication that is common in all cultures is people singing together. Singing together reflects an index of cognitive synchronization and cooperation of human brains.
Naoyuki eOsaka +6 more
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