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Guida, Alessandro; Porret, Axelle – Cognitive Science, 2022
Recent studies on the spatial positional associated response codes (SPoARC) effect have shown that when Western adults are asked to keep in mind sequences of verbal items, they mentally spatialize them along the horizontal axis, with the initial items being associated with the left and the last items being associated with the right. The origin of…
Descriptors: Musicians, Cognitive Processes, Spatial Ability, Learning Theories
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Siegelman, Noam; Bogaerts, Louisa; Frost, Ram – Cognitive Science, 2019
In order to extract the regularities underlying a continuous sensory input, the individual elements constituting the stream have to be encoded and their transitional probabilities (TPs) should be learned. This suggests that variance in statistical learning (SL) performance reflects efficiency in encoding representations as well as efficiency in…
Descriptors: Sensory Experience, Cognitive Processes, Prediction, Performance
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Dewi, Jasinta D. M.; Bagnoud, Jeanne; Thevenot, Catherine – Cognitive Science, 2021
As a theory of skill acquisition, the instance theory of automatization posits that, after a period of training, algorithm-based performance is replaced by retrieval-based performance. This theory has been tested using alphabet-arithmetic verification tasks (e.g., is A + 4 = E?), in which the equations are necessarily solved by counting at the…
Descriptors: Skill Development, Training, Task Analysis, Learning Theories
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Ecker, Ullrich K. H.; Brown, Gordon D. A.; Lewandowsky, Stephan – Cognitive Science, 2015
Is consolidation needed to account for retroactive interference in free recall? Interfering mental activity during the retention interval of a memory task impairs performance, in particular if the interference occurs in temporal proximity to the encoding of the to-be-remembered (TBR) information. There are at least two rival theoretical accounts…
Descriptors: Interference (Learning), Cognitive Processes, Recall (Psychology), Task Analysis
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Giustolisi, Beatrice; Emmorey, Karen – Cognitive Science, 2018
This study investigated visual statistical learning (VSL) in 24 deaf signers and 24 hearing non-signers. Previous research with hearing individuals suggests that SL mechanisms support literacy. Our first goal was to assess whether VSL was associated with reading ability in deaf individuals, and whether this relation was sustained by a link between…
Descriptors: Deafness, Hearing Impairments, Task Analysis, Correlation
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Temperley, David – Cognitive Science, 2008
This study presents a probabilistic model of melody perception, which infers the key of a melody and also judges the probability of the melody itself. The model uses Bayesian reasoning: For any "surface" pattern and underlying "structure," we can infer the structure maximizing P(structure [vertical bar] surface) based on knowledge of P(surface,…
Descriptors: Expectation, Intervals, Probability, Information Retrieval
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Sikstrom, Sverker – Cognitive Science, 2006
An item that stands out (is isolated) from its context is better remembered than an item consistent with the context. This isolation effect cannot be accounted for by increased attention, because it occurs when the isolated item is presented as the first item, or by impoverished memory of nonisolated items, because the isolated item is better…
Descriptors: Cognitive Processes, Primacy Effect, Short Term Memory, Depression (Psychology)
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Wilson, Colin – Cognitive Science, 2006
There is an active debate within the field of phonology concerning the cognitive status of substantive phonetic factors such as ease of articulation and perceptual distinctiveness. A new framework is proposed in which substance acts as a bias, or prior, on phonological learning. Two experiments tested this framework with a method in which…
Descriptors: Phonology, Articulation (Speech), Phonemes, Bias
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Rumelhart, David E.; Zipser, David – Cognitive Science, 1985
Reports results of studies with an unsupervised learning paradigm called competitive learning which is examined using computer simulation and formal analysis. When competitive learning is applied to parallel networks of neuron-like elements, many potentially useful learning tasks can be accomplished. (Author)
Descriptors: Artificial Intelligence, Cognitive Processes, Computer Simulation, Input Output