Durability of classification and action learning: differences revealed using ex-Gaussian distribution analysis
It has been shown that in associative learning it is possible to disentangle the effects caused on behaviour by the associations between a stimulus and a classification (S–C) and the associations between a stimulus and the action performed towards it (S–A). Such evidence has been provided using ex-G...
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| Veröffentlicht in: | Experimental brain research 2013-05, Vol.226 (3), p.373-382 |
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| creator | Moutsopoulou, Karolina Waszak, Florian |
| description | It has been shown that in associative learning it is possible to disentangle the effects caused on behaviour by the associations between a stimulus and a classification (S–C) and the associations between a stimulus and the action performed towards it (S–A). Such evidence has been provided using ex-Gaussian distribution analysis to show that different parameters of the reaction time distribution reflect the different processes. Here, using this method, we investigate another difference between these two types of associations: What is the relative durability of these associations across time? Using a task-switching paradigm and by manipulating the lag between the point of the creation of the associations and the test phase, we show that S–A associations have stronger effects on behaviour when the lag between the two repetitions of a stimulus is short. However, classification learning affects behaviour not only in short-term lags but also (and equally so) when the lag between prime and probe is long and the same stimuli are repeatedly presented within a different classification task, demonstrating a remarkable durability of S–C associations. |
| doi_str_mv | 10.1007/s00221-013-3445-0 |
| format | Article |
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Such evidence has been provided using ex-Gaussian distribution analysis to show that different parameters of the reaction time distribution reflect the different processes. Here, using this method, we investigate another difference between these two types of associations: What is the relative durability of these associations across time? Using a task-switching paradigm and by manipulating the lag between the point of the creation of the associations and the test phase, we show that S–A associations have stronger effects on behaviour when the lag between the two repetitions of a stimulus is short. 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Psychology ; Gaussian distribution ; Humans ; Motor learning ; Neurology ; Neuropsychological Tests ; Neuroscience ; Neurosciences ; Normal Distribution ; Physiological aspects ; Psychology. Psychoanalysis. Psychiatry ; Psychology. 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Such evidence has been provided using ex-Gaussian distribution analysis to show that different parameters of the reaction time distribution reflect the different processes. Here, using this method, we investigate another difference between these two types of associations: What is the relative durability of these associations across time? Using a task-switching paradigm and by manipulating the lag between the point of the creation of the associations and the test phase, we show that S–A associations have stronger effects on behaviour when the lag between the two repetitions of a stimulus is short. However, classification learning affects behaviour not only in short-term lags but also (and equally so) when the lag between prime and probe is long and the same stimuli are repeatedly presented within a different classification task, demonstrating a remarkable durability of S–C associations.</description><subject>Action learning</subject><subject>Adult</subject><subject>Anatomical correlates of behavior</subject><subject>Anatomy</subject><subject>Association Learning - physiology</subject><subject>Attention - physiology</subject><subject>Behavioral psychophysiology</subject><subject>Biological and medical sciences</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Central nervous system</subject><subject>Cognitive science</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Gaussian distribution</subject><subject>Humans</subject><subject>Motor learning</subject><subject>Neurology</subject><subject>Neuropsychological Tests</subject><subject>Neuroscience</subject><subject>Neurosciences</subject><subject>Normal Distribution</subject><subject>Physiological aspects</subject><subject>Psychology. Psychoanalysis. Psychiatry</subject><subject>Psychology. 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| ispartof | Experimental brain research, 2013-05, Vol.226 (3), p.373-382 |
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| subjects | Action learning Adult Anatomical correlates of behavior Anatomy Association Learning - physiology Attention - physiology Behavioral psychophysiology Biological and medical sciences Biomedical and Life Sciences Biomedicine Central nervous system Cognitive science Fundamental and applied biological sciences. Psychology Gaussian distribution Humans Motor learning Neurology Neuropsychological Tests Neuroscience Neurosciences Normal Distribution Physiological aspects Psychology. Psychoanalysis. Psychiatry Psychology. Psychophysiology Reaction Time - physiology Research Article Vertebrates: nervous system and sense organs |
| title | Durability of classification and action learning: differences revealed using ex-Gaussian distribution analysis |
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