What is he best known for?
The fields of study he is best known for:
- Cognition
- Artificial intelligence
- Cognitive psychology
Pierre Perruchet mainly investigates Cognitive psychology, Cognition, Implicit learning, Cognitive science and Grammar.
His research in the fields of Associative learning overlaps with other disciplines such as Legal position.
His research investigates the link between Cognition and topics such as Explicit knowledge that cross with problems in Serial reaction time.
The study incorporates disciplines such as Action, Language acquisition, Orthography and Sequence learning in addition to Implicit learning.
His research integrates issues of Associative property and Algebraic number in his study of Cognitive science.
His study in Grammar is interdisciplinary in nature, drawing from both Structure, Constructed language and Categorization.
His most cited work include:
- Implicit learning and statistical learning: one phenomenon, two approaches (559 citations)
- Synthetic Grammar Learning: Implicit Rule Abstraction or Explicit Fragmentary Knowledge? (465 citations)
- Conscious knowledge and changes in performance in sequence learning: Evidence against dissociation. (283 citations)
What are the main themes of his work throughout his whole career to date?
Pierre Perruchet focuses on Cognitive psychology, Implicit learning, Cognitive science, Cognition and Communication.
His work deals with themes such as Dissociation, Implicit memory, Developmental psychology, Automatism and Priming, which intersect with Cognitive psychology.
Pierre Perruchet interconnects Serial reaction time, Sequence learning, Explicit knowledge, Language acquisition and Grammar in the investigation of issues within Implicit learning.
In his research on the topic of Cognitive science, Self is strongly related with Consciousness.
The various areas that Pierre Perruchet examines in his Cognition study include Test, Categorization and Grammaticality.
His biological study spans a wide range of topics, including Speech recognition and Associative property.
He most often published in these fields:
- Cognitive psychology (39.53%)
- Implicit learning (24.03%)
- Cognitive science (20.93%)
What were the highlights of his more recent work (between 2011-2019)?
- Cognitive psychology (39.53%)
- Cognitive science (20.93%)
- Implicit learning (24.03%)
In recent papers he was focusing on the following fields of study:
Pierre Perruchet mostly deals with Cognitive psychology, Cognitive science, Implicit learning, Associative learning and Stroop effect.
His work carried out in the field of Cognitive psychology brings together such families of science as Connectionism, Bayesian inference, Unsupervised learning, Pairwise comparison and Selection.
His Cognitive science research is multidisciplinary, incorporating elements of Garden Path, Working memory and Landmark.
His Implicit learning research includes themes of Dependency, Language acquisition, Representation and Association.
His research investigates the connection between Associative learning and topics such as Associative property that intersect with problems in Communication, Expectancy theory, Classical conditioning and Event.
His Stroop effect study also includes
- Automatism together with Automaticity,
- Reading, which have a strong connection to Task analysis, Stroop Paradigm and Cognition.
Between 2011 and 2019, his most popular works were:
- Centre-embedded structures are a by-product of associative learning and working memory constraints: Evidence from baboons ( Papio Papio ) (48 citations)
- Challenging prior evidence for a shared syntactic processor for language and music (32 citations)
- Beyond Transitional Probability Computations: Extracting Word-Like Units when Only Statistical Information Is Available. (25 citations)
In his most recent research, the most cited papers focused on:
- Cognition
- Artificial intelligence
- Statistics
Pierre Perruchet mainly focuses on Communication, Cognitive science, Speech recognition, Associative learning and Associative property.
The concepts of his Communication study are interwoven with issues in Segmentation, Chunking, Artificial intelligence, Natural language processing and First language.
His research in Cognitive science intersects with topics in Cognitive psychology, Stroop effect and Flexibility.
His Speech recognition research is multidisciplinary, incorporating perspectives in Implicit learning, Event, Representation, Association and Dependency.
Pierre Perruchet combines subjects such as Structure, Visual perception, Form perception and Recursion with his study of Associative learning.
The Associative property study combines topics in areas such as Working memory and Human language.
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