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Mice lacking M1 and M3 muscarinic acetylcholine receptors have impaired odor discrimination and learning
(Frontiers Research Foundation, 2017)
OPERANT DISCRIMINATION-LEARNING IN DETELENCEPHALATED PIGEONS (COLUMBA-LIVIA)
(Assoc Bras Divulg CientificaSao PauloBrasil, 1995)
Improvement of discriminative learning in children: Differential out-comes and manual administration of different types of reinforcement [Mejora del aprendizaje discriminativo en niños: Consecuencias diferenciales y administración manual de diferentes formas de refuerzo]
(Universidad de Murcia Servicio de Publicaciones, 2016)
Procedimentos e processos: uma delicada relação na aprendizagem de discriminações por bebês
(Universidade Federal de São CarlosBRUFSCarPrograma de Pós-Graduação em Psicologia - PPGPsi, 2013-08-30)
This dissertation was based on four empirical research reports submitted for publication in specialized journals. The empirical researches laid the foundations for a theoretical analysis on Stimulus Control and discrimination ...
Rats can learn a roughness discrimination using only their vibrissal system
(1989)
Rats learned to discriminate between two degrees of roughness, detecting the stimuli only with their vibrissal system. After bilateral trimming of the vibrissae, performance abruptly dropped to chance levels and remained ...
Towards vegetation species discrimination by using data-driven descriptors
(Ieee, 2016-01-01)
In this paper, we analyse the use of Convolutional Neural Networks (CNNs or ConvNets) to discriminate vegetation species with few labelled samples. To the best of our knowledge, this is the first work dedicated to the ...
Clinical feasibility of cognitive testing in dogs (Canis lupus familiaris)
(Elsevier B.V., 2014-01-01)
Several cognitive tests have been developed to evaluate specific aspects of human and animal learning and memory. These tests have been used for early detection of cognitive deficits and to monitor the treatment of dogs ...
Discriminative multi-stream postfilters based on deep learning for enhancing statistical parametric speech synthesis
(2021)
Statistical parametric speech synthesis based on Hidden Markov Models has been an
important technique for the production of artificial voices, due to its ability to produce results with high intelligibility and sophisticated ...