Improved Separation of Odor Responses in Granule Cells of the Olfactory Bulb During Odor Discrimination Learning [PDF]
Frontiers in Cellular Neuroscience, 2020 In the olfactory bulb, olfactory information is translated into ensemble representations by mitral/tufted cells, and these representations change dynamically in a context-dependent manner.
Dejuan Wang +6 more
doaj +2 more sources
Auditory Discrimination Learning: Role of Working Memory. [PDF]
PLoS ONE, 2016 Perceptual training is generally assumed to improve perception by modifying the encoding or decoding of sensory information. However, this assumption is incompatible with recent demonstrations that transfer of learning can be enhanced by across-trial ...
Yu-Xuan Zhang +5 more
doaj +2 more sources
Effect of Age and Dietary Intervention on Discrimination Learning in Pet Dogs [PDF]
Frontiers in Psychology, 2018 Aging is associated with a decline in cognitive functions such as learning, memory, attention, cognitive flexibility, and executive functions. Recent evidence indicates that interventions such as exercise, diet and cognitive training can be used to ...
Durga Chapagain +6 more
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Examining the impact of cue similarity and fear learning on perceptual tuning
Scientific Reports, 2023 Past research on the effects of associative aversive learning on discrimination acuity has shown mixed results, including increases, decreases, and no changes in discrimination ability.
Jonas Zaman +4 more
doaj +1 more source
Transfer in Rule-Based Category Learning Depends on the Training Task. [PDF]
PLoS ONE, 2016 While learning is often highly specific to the exact stimuli and tasks used during training, there are cases where training results in learning that generalizes more broadly.
Florian Kattner +2 more
doaj +1 more source
Associative learning shapes visual discrimination in a web-based classical conditioning task
Scientific Reports, 2021 Threat detection plays a vital role in adapting behavior to changing environments. A fundamental function to improve threat detection is learning to differentiate between stimuli predicting danger and safety. Accordingly, aversive learning should lead to
Yannik Stegmann +3 more
doaj +1 more source
More Than Eggs – Relationship Between Productivity and Learning in Laying Hens
Frontiers in Psychology, 2018 The intense selection of chickens for production traits, such as egg laying, is thought to cause undesirable side effects and changes in behavior. Trade-offs resulting from energy expenditure in productivity may influence other traits: in order to ...
Anissa Dudde +5 more
doaj +1 more source
The Spectral-Spatial Joint Learning for Change Detection in Multispectral Imagery
Remote Sensing, 2019 Change detection is one of the most important applications in the remote sensing domain. More and more attention is focused on deep neural network based change detection methods.
Wuxia Zhang, Xiaoqiang Lu
doaj +1 more source
Discriminately decreasing discriminability with learned image filters [PDF]
2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012 In machine learning and computer vision, input images are often filtered to increase data discriminability. In some situations, however, one may wish to purposely decrease discriminability of one classification task (a "distractor" task), while simultaneously preserving information relevant to another (the task-of-interest): For example, it may be ...
Jacob Whitehill, Javier R. Movellan
openaire +3 more sources
Reversal of a Spatial Discrimination Task in the Common Octopus (Octopus vulgaris)
Frontiers in Behavioral Neuroscience, 2021 Reversal learning requires an animal to learn to discriminate between two stimuli but reverse its responses to these stimuli every time it has reached a learning criterion.
Alexander Bublitz +2 more
doaj +1 more source