Results 31 to 40 of about 2,094,029 (295)
Computational intelligence model based on GA-BP neural network [PDF]
Since the birth of the secondary stock market, the prediction of the stock price trend has become a research direction concerned by many people.
Zhang Chengzhao
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Dopamine, Prediction Error and Beyond [PDF]
A large body of work has linked dopaminergic signaling to learning and reward processing. It stresses the role of dopamine in reward prediction error signaling, a key neural signal that allows us to learn from past experiences, and that facilitates optimal choice behavior.
Diederen, Kelly M. J., Fletcher, Paul C.
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Reversible data hiding algorithm based on asymmetric histogram shifting
The shifting of two asymmetric histograms in opposite directions in data embedding respectively had produced the pixel compensation and restore effect, a better reversible data hiding algorithm based on pixel prediction was proposed, two asymmetric ...
HE Yufen +2 more
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Prediction error induced motor contagions in human behaviors
Motor contagions refer to implicit effects on one's actions induced by observed actions. Motor contagions are believed to be induced simply by action observation and cause an observer's action to become similar to the action observed.
Tsuyoshi Ikegami +3 more
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Preconditioned cues have no value
Sensory preconditioning has been used to implicate midbrain dopamine in model-based learning, contradicting the view that dopamine transients reflect model-free value.
Melissa J Sharpe +2 more
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Dopamine: from prediction error to psychotherapy [PDF]
AbstractDopamine, one of the main neurotransmitters in the mammalian brain, has been implicated in the coding of prediction errors that govern reward learning as well as fear extinction learning. Psychotherapy too can be viewed as a form of error-based learning, because it challenges erroneous beliefs and behavioral patterns in order to induce long ...
Papalini, Silvia +2 more
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Tell me something I don’t know
The roles that neural oscillations play in the auditory cortex of the human brain are becoming clearer.
Jonas Obleser
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A new approach to texture coding using stochastic vector quantization [PDF]
A new method for texture coding which combines 2-D linear prediction and stochastic vector quantization is presented in this paper. To encode a texture, a linear predictor is computed first.
Casas Pla, Josep Ramon +2 more
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In this study, how to improve usability and quality of the remote participation experience using remote-controlled robots to support the active social participation of people who have mobility issues were investigated.
Takumi KAWAMURA, Yasutaka FUJIMOTO
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Affective Valence Regulates Associative Competition in Pavlovian Conditioning
Evidence suggests that, in Pavlovian conditioning, associations form between conditioned stimuli and multiple components of the unconditioned stimulus (US).
Vincent Laurent +2 more
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