Implicit learning and statistical learning: one phenomenon, two approaches.
By Pierre Perruchet, S. Pacton. Trends in Cognitive Sciences, 2006
815 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Developmental and Educational Psychology
View Paper: https://www.semanticscholar.org/paper/410dfed3b58eb21fee8f2c67bd68105132308c0d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Máté Lengyel
- Richard N. Aslin
- T. Meyer
- József Fiser
- T. Ruffman
- R. Schmidt
- Carl Olson
- Nikolaus Kriegeskorte
In Developmental and Educational Psychology
- Catherine Saint-Georges
- Ammar Mahdhaoui
- T. Meyer
- Mohamed Chetouani
- József Fiser
- David Cohen
- Sylvie Viaux
- Emilie Delaherche
Citations in the corpus
- Darwin's mistake: Explaining the discontinuity between human and nonhuman minds (2008, neutral): “Although it is quite controversial how the human cognitive architecture performs these rule-like feats (see, e.g., Marcus 1999; McClelland & Plaut 1999; Seidenberg & Elman 1999), the fact that human subjects manifest these rule-like generalizations is " undisputed " (Perruchet & Pacton 2006).”
- Statistical learning of visual transitions in monkey inferotemporal cortex (2011, background): “This result is exactly what one would expect if transitional surprise signals in the ITC were representative of neural processes underlying the incidental and implicit learning of perceptual transitional statistics as demonstrated in human studies (18, 19).”
- Interpersonal Synchrony: A Survey of Evaluation Methods across Disciplines (2012, background): “Empirical evidence for probabilistic or statistical learning has matured in the fields of auditory and visual inputs [39].”
- LEARNING WITHOUT AWARENESS REVISITED (2010, neutral): “Others have questioned the claims about any disassociation between awareness and learning (e.g., Dulany, Carlson, & Dewey, 1984 , 1985 ; Perruchet & Amorim, 1992 ; Perruchet & Pacteau, 1990 , 1991 ; Perruchet & Pacton, 1996 ; Shanks, Green, & Kolodny, 1994 ; Shanks & St. John, 1994 ).”
- Bayesian learning of visual chunks by human observers (2008, background): “Statistical learning has been characterized as focusing on transitional or conditional probabilities that can be used to extract segments and simple chunks from the input (26) but are insufficient for learning more complex structures.”
- ATTENTION, AWARENESS, AND INDIVIDUAL DIFFERENCES IN LANGUAGE LEARNING (2012, background): “However, to the degree that noticing is hypothesized to also be involved in at least some kinds of implicit learning (Perruchet & Pacton, 2006), it is possible that individual differences in implicit learning abilities may exist and that these are also related to noticing.”
- Neural Evidence of Statistical Learning: Efficient Detection of Visual Regularities Without Awareness (2009, neutral): “Indeed, statistical learning is often discussed as a distinct category of learning (see Perruchet & Pacton, 2006) but may in fact have roots in other forms of learning and memory.”
- To belief or not belief: Children’s theory of mind (2014, background): “To this end, it is helpful to examine studies of implicit learning because implicit learning is thought to entail learning of patterns and to be an instance of statistical learning (Perruchet & Pacton, 2006).”