Pierre Perruchet
Biographic Data
| ID | 5709604 |
|---|---|
| NAME | Pierre Perruchet |
| GIVEN NAMES | Pierre |
| FAMILY NAME | Perruchet |
| SIGNATURE | PERRUCHET P |
| AFFILIATIONS | Université de Bourgogne |
| ORCID | 0000-0002-1105-9580 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1989 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
Why Is the Componential Construct of Implicit Language Aptitude So Difficult to Capture
Although this special issue reveals some promising achievements, most of the contributions show that tasks of implicit learning are not or are only weakly correlated with each other, and they have inconsistent predictive power on L2 acquisition. This commentary examines four possible explanations for this surprising pattern: The (suboptimal) selection of tasks, the low reliability of measures, the deep influence of the starting level even for nom…
The learnability of language
The issue of the learnability of language contrasts the proposals of Chomsky (e.g. 1965), who claimed that the major part of language mastery involves innate domain-specific structures, to more recent nonnativist approaches, from the usage-based theories to Bayesian models, which contend that language acquisition rests on all-purpose domain-general learning processes. This chapter aims at examining the potential contribution to this issue of the …
Implicit learning and statistical learning
Abstraction of covariations in incidental learning and covariation bias
Experiment 1 was devised to distinguish, in a given set of features composing drawn robots, those whose variations were related a priori for participants from those whose variations were a priori independent. In Expt 2, correlations were experimentally induced between a priori ‐related features for one group of participants ( pre‐primed group), and between a priori ‐independent features for another group { arbitrary group), in incidental learning…
Abstraction of covariation in category learning
Several studies directed by K. Richardson (Richardson, 1986, 1987; Richardson & Carthy, 1989, 1990) claimed that people are able to abstract imperfect covariations among feature variables defining artificial categories, and to use that information in various subsequent tasks. We challenge this claim on a twofold basis. First, a large part of the performance variance Richardson attributed to covariation knowledge may be accounted for by a very sim…
The effect of spaced practice on explicit and implicit memory
The spaced‐practice effect refers to the strong and pervasive positive influence on long‐term explicit memory which results from interposing at least one other item between the repetitions of any to‐be‐remembered item in a list‐learning paradigm. Limited prior empirical evidence suggests that spaced practice could also have a similar positive effect on implicit memory performances, as revealed through a tachistoscopic identification task. Four ex…
No prominent works on this page.
The effect of spaced practice on explicit and implicit memory
The spaced‐practice effect refers to the strong and pervasive positive influence on long‐term explicit memory which results from interposing at least one other item between the repetitions of any to‐be‐remembered item in a list‐learning paradigm. Limited prior empirical evidence suggests that spaced practice could also have a similar positive effect on implicit memory performances, as revealed through a tachistoscopic identification task. Four ex…
Abstraction of covariation in category learning
Several studies directed by K. Richardson (Richardson, 1986, 1987; Richardson & Carthy, 1989, 1990) claimed that people are able to abstract imperfect covariations among feature variables defining artificial categories, and to use that information in various subsequent tasks. We challenge this claim on a twofold basis. First, a large part of the performance variance Richardson attributed to covariation knowledge may be accounted for by a very sim…
Abstraction of covariations in incidental learning and covariation bias
Experiment 1 was devised to distinguish, in a given set of features composing drawn robots, those whose variations were related a priori for participants from those whose variations were a priori independent. In Expt 2, correlations were experimentally induced between a priori ‐related features for one group of participants ( pre‐primed group), and between a priori ‐independent features for another group { arbitrary group), in incidental learning…
Implicit learning and statistical learning
The learnability of language
The issue of the learnability of language contrasts the proposals of Chomsky (e.g. 1965), who claimed that the major part of language mastery involves innate domain-specific structures, to more recent nonnativist approaches, from the usage-based theories to Bayesian models, which contend that language acquisition rests on all-purpose domain-general learning processes. This chapter aims at examining the potential contribution to this issue of the …
Why Is the Componential Construct of Implicit Language Aptitude So Difficult to Capture
Although this special issue reveals some promising achievements, most of the contributions show that tasks of implicit learning are not or are only weakly correlated with each other, and they have inconsistent predictive power on L2 acquisition. This commentary examines four possible explanations for this surprising pattern: The (suboptimal) selection of tasks, the low reliability of measures, the deep influence of the starting level even for nom…
Psychology (6 works) · Cognitive psychology (5 works) · Computer Science (5 works) · Child and Animal Learning Development (4 works) · Artificial Intelligence (3 works) · Cognition (3 works) · Cognitive science (3 works) · Epistemology (3 works) · Language Development and Disorders (3 works) · Abstraction (2 works)