Results 11 to 20 of about 56,042 (290)
Coatings, 2022 For the smart manufacturing development of printed-circuit-board (PCB) exposure devices, the LED parallel-light (LPL) module is investigated and the angle errors of those LPL units are identified by neural network learning algorithms.
Chi-Feng Chen +2 more
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Refined Modelling of the Primal Attack, and Variants Against Module-Learning With Errors
IACR Cryptol. ePrint Arch.The primal attack reduces Learning with Errors (LWE) to the unique Shortest Vector Problem (uSVP), and then applies lattice reduction such as BKZ to solve the latter. Estimating the cost of the attack is required to evaluate the security of constructions
Paola de Perthuis, Filip Trenkić
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The Substantia Nigra Pars Reticulata Modulates Error-Based Saccadic Learning in Monkeys [PDF]
eneuro, 2021 AbstractThe basal ganglia have long been considered crucial for associative learning, but whether they also are involved in another type of learning, error-based motor learning, is not clear. Error-based learning has been considered the province of the cerebellum.
Yoshiko Kojima, Paul J. May
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Errorless and errorful learning modulated by transcranial direct current stimulation [PDF]
BMC Neuroscience, 2011 Abstract Background Errorless learning is advantageous over trial and error learning (errorful learning) as errors are avoided during learning resulting in increased memory performance. Errorful learning challenges the executive control system of memory processes as the erroneous items compete with the correct items ...
Schmicker Marlen +4 more
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Non-commutative Ring Learning with Errors from Cyclic Algebras [PDF]
, 2022 The Learning with Errors (LWE) problem is the fundamental backbone of modern lattice-based cryptography, allowing one to establish cryptography on the hardness of well-studied computational problems.
Vehkalahti, Roope +7 more
core +1 more source
Haptic Error Modulation Outperforms Visual Error Amplification When Learning a Modified Gait Pattern [PDF]
Frontiers in Neuroscience, 2019 Robotic algorithms that augment movement errors have been proposed as promising training strategies to enhance motor learning and neurorehabilitation. However, most research effort has focused on rehabilitation of upper limbs, probably because large movement errors are especially dangerous during gait training, as they might result in stumbling and ...
Laura Marchal-Crespo +8 more
openaire +6 more sources
Punishment sensitivity modulates the processing of negative feedback but not error-induced learning [PDF]
Frontiers in Human Neuroscience, 2012 Accumulating evidence suggests that individual differences in punishment and reward sensitivity are associated with functional alterations in neural systems underlying error and feedback processing. In particular, individuals highly sensitive to punishment have been found to be characterized by larger mediofrontal error signals as reflected in the ...
Unger, Kerstin +2 more
openaire +4 more sources
Psychonomic Bulletin & Review, 2021 Making errors is part of human nature, and it is thus important to know how to get the best out of them. Experimental evidence has shown that generating errors can enhance learning when these are followed by corrective feedback. However, little is known about the specific conditions and mechanisms that underlie this benefit of experiencing errors. This
Mera, Yeray +2 more
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Choice modulates the neural dynamics of prediction error processing during rewarded learning [PDF]
NeuroImage, 2011 Our ability to selectively engage with our environment enables us to guide our learning and to take advantage of its benefits. When facing multiple possible actions, our choices are a critical aspect of learning. In the case of learning from rewarding feedback, there has been substantial theoretical and empirical progress in elucidating the associated ...
David A. Peterson +4 more
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Modulations of Insular Projections by Prior Belief Mediate the Precision of Prediction Error during Tactile Learning [PDF]
The Journal of Neuroscience, 2020 Awareness for surprising sensory events is shaped by prior belief inferred from past experience. Here, we combined hierarchical Bayesian modeling with fMRI on an associative learning task in 28 male human participants to characterize the effect of the prior belief of tactile events on connections mediating the outcome of perceptual decisions.
Bin A, Wang +2 more
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