Orienting Attention Based on Long-Term Memory Improves Perceptual Discriminations [PDF]
, 2009 The role of attentional orienting in daily life is to selectively deploy both behavioural and neural resources towards events, based on continually changing task goals and expectations, in order to optimize performance.
Anling Rao +3 more
core +3 more sources
Comparison and combination of gamified neurofeedback training and general behavioral training
PLoS ONE, 2022 With the rapid development of the international community, foreign language learning has become increasingly important. Listening training is a particularly important component of foreign language learning. The most difficult aspect of listening training
Ming Chang +4 more
doaj +2 more sources
Discriminant Learning Machines [PDF]
, 2019 The cause-effect pair challenge has, for the first time, formulated the cause-effect problem as a learning problem in which a causation coefficient is trained from data. This can be thought of as a kind of meta learning. This chapter will present an overview of the contributions in this domain and state the advantages and limitations of the method as ...
Kalainathan, Diviyan +3 more
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Overtraining Strengthens the Visual Discrimination Memory Trace Outside the Hippocampus in Male Rats
Frontiers in Behavioral Neuroscience, 2021 The hippocampus (HPC) may compete with other memory systems when establishing a representation, a process termed overshadowing. However, this overshadowing may be mitigated by repeated learning episodes, making a memory resistant to post-training ...
Hugo Lehmann +2 more
doaj +1 more source
Better, Not Just More—Contrast in Qualitative Aspects of Reward Facilitates Impulse Control in Pigs
Frontiers in Psychology, 2018 Delay-of-gratification paradigms, such as the famous “Marshmallow Test,” are designed to investigate the complex cognitive concepts of self-control and impulse control in humans and animals. Such tests determine whether a subject will demonstrate impulse
Manuela Zebunke +8 more
doaj +1 more source
Classification of Dead Cocoons Using Convolutional Neural Networks and Machine Learning Methods
IEEE Access, 2023 Image recognition methods classify or categorize objects by extracting significant properties from digital images of the objects and are used in the field of agriculture for quality determination.
Ahyeong Lee +4 more
doaj +1 more source
Dimensional approaches to experimental psychopathology of schizophrenia: shift learning and report of psychotic-like experiences in college students [PDF]
, 2005 Adopting a dimensional approach to experimental psychopathology, and taking into account inconsistencies in the previous literature, we examined whether reports of psychotic-like experiences in undergraduate students were associated with shift-learning ...
Abbruzzese +36 more
core +1 more source
Discriminative learning of apparel features [PDF]
2015 14th IAPR International Conference on Machine Vision Applications (MVA), 2015 ISBN:978-4-901122-14 ...
Rothe, Rasmus +3 more
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Learning Term Discrimination [PDF]
Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020 Document indexing is a key component for efficient information retrieval (IR). After preprocessing steps such as stemming and stop-word removal, document indexes usually store term-frequencies (tf). Along with tf (that only reflects the importance of a term in a document), traditional IR models use term discrimination values (TDVs) such as inverse ...
Jibril Frej +3 more
openaire +4 more sources
Lack of Pattern Separation in Sensory Inputs to the Olfactory Bulb during Perceptual Learning. [PDF]
, 2017 Recent studies revealed changes in odor representations in the olfactory bulb during active olfactory learning (Chu et al., 2016; Yamada et al., 2017).
Chu, Monica W +2 more
core +3 more sources