Results 51 to 60 of about 6,043,564 (322)

Rats distinguish between absence of events and lack of evidence in contingency learning. [PDF]

open access: yes, 2012
The goal of three experiments was to study whether rats are aware of the difference between absence of events and lack of evidence. We used a Pavlovian extinction paradigm in which lights consistently signaling sucrose were suddenly paired with the ...
Aaron P. Blaisdell   +20 more
core   +2 more sources

Contingency awareness shapes acquisition and extinction of emotional responses in a conditioning model of pain-related fear

open access: yesFrontiers in Behavioral Neuroscience, 2015
As a fundamental learning process, fear conditioning promotes the formation of associations between predictive cues and biologically-significant signals.
Franziska eLabrenz   +3 more
doaj   +1 more source

Role of the mesoamygdaloid dopamine projection in emotional learning [PDF]

open access: yes, 2010
Amygdala dopamine is crucially involved in the acquisition of Pavlovian associations, as measured via conditioned approach to the location of the unconditioned stimulus (US).
AA Grace   +60 more
core   +1 more source

Learning, awareness, and instruction: Subjective contingency awareness does matter in the colour-word contingency learning paradigm [PDF]

open access: yesConsciousness and Cognition, 2012
In three experiments, each of a set colour-unrelated distracting words was presented most often in a particular target print colour (e.g., "month" most often in red). In Experiment 1, half of the participants were told the word-colour contingencies in advance (instructed) and half were not (control). The instructed group showed a larger learning effect.
Schmidt, James, De Houwer, Jan
openaire   +3 more sources

Release from response interference in color-word contingency learning

open access: yesActa Psychologica
In identifying the print colors of words when some combinations of color and word occur more frequently than others, people quickly show evidence of learning these associations.
Brady R.T. Roberts   +3 more
doaj   +1 more source

Reliable Correlational Cuing While Controlling for Most-Recent-Pairing Effects

open access: yesFrontiers in Psychology, 2020
Irrelevant aspects of the environment or irrelevant attributes of task-relevant stimuli can have important and reliable effects on behavior. When the specific values of an irrelevant attribute are correlated with different responses, a correlational ...
Guangjun Xu, J. Toby Mordkoff
doaj   +1 more source

Bridging the divide between causal illusions in the laboratory and the real world: the effects of outcome density with a variable continuous outcome

open access: yesCognitive Research, 2019
Illusory causation refers to a consistent error in human learning in which the learner develops a false belief that two unrelated events are causally associated.
Julie Y. L. Chow   +2 more
doaj   +1 more source

Disentangling Genuine Semantic Stroop Effects in Reading from Contingency Effects: On the Need for Two Neutral Baselines

open access: yesFrontiers in Psychology, 2016
The automaticity of reading is often explored through the Stroop effect, whereby color-naming is affected by color words. Color associates (e.g., ‘sky’) also produce a Stroop effect, suggesting that automatic reading occurs through to the level of ...
Eric eLorentz   +5 more
doaj   +1 more source

Learning salience amoung [sic] features through contingency in the CEL framework [PDF]

open access: yes, 1985
Determining which features in an environment are salient given a task, salience assignment, is a central problem in Machine Learning. A related phenomenon, contingency (the conditions under which relative salience among environmental features is acquired)
Granger, R. H., Jr.   +1 more
core   +1 more source

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

open access: yesMolecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

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