Results 11 to 20 of about 941,916 (317)
Post-training depletions of basolateral amygdala serotonin fail to disrupt discrimination, retention, or reversal learning [PDF]
Frontiers in Neuroscience, 2015 In goal-directed pursuits, the basolateral amygdala (BLA) is critical in learning about changes in the value of rewards. BLA-lesioned rats show enhanced reversal learning, a task employed to measure the flexibility of response to changes in reward ...
G. Jesus eOchoa +5 more
doaj +4 more sources
How much information is in a jet?
Journal of High Energy Physics, 2017 Machine learning techniques are increasingly being applied toward data analyses at the Large Hadron Collider, especially with applications for discrimination of jets with different originating particles.
Kaustuv Datta, Andrew Larkoski
doaj +3 more sources
Bigfin reef squid demonstrate capacity for conditional discrimination and projected future carbon dioxide levels have no effect on learning capabilities [PDF]
PeerJ, 2020 Anthropogenic carbon dioxide (CO2) emissions are being absorbed by the oceans, a process known as ocean acidification, and risks adversely affecting a variety of behaviours in a range of marine species, including inhibited learning in some fishes ...
Blake L. Spady, Sue-Ann Watson
doaj +2 more sources
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
NeuroImage, 2023 Learning new words in an unfamiliar language is a complex endeavor that requires the orchestration of multiple perceptual and cognitive functions. Although the neural mechanisms governing word learning are becoming better understood, little is known ...
Stefan Elmer +3 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
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
Learning complex texture discrimination
Journal of the Optical Society of America A, 2018 Higher-order spatial correlations contribute strongly to visual structure and salience, and are common in the natural environment. One method for studying this structure has been through the use of highly controlled texture patterns whose obvious structure is defined entirely by third- and higher-order correlations.
T. Maddess +5 more
openaire +2 more sources
Learning Term Discrimination [PDF]
Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020 Accepted to ACM SIGIR ...
Frej, Jibril +3 more
openaire +3 more sources