Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 2 |
Descriptor
Learning Processes | 2 |
Probability | 2 |
Serial Learning | 2 |
Animals | 1 |
Associative Learning | 1 |
Cues | 1 |
Discrimination Learning | 1 |
Executive Function | 1 |
Models | 1 |
Motor Reactions | 1 |
Prediction | 1 |
More ▼ |
Source
Cognitive Science | 2 |
Author
Bonafos, Guillem | 1 |
Fabian Tomaschek | 1 |
Fagot, Joël | 1 |
Freyermuth, Jean-Marc | 1 |
Jessie S. Nixon | 1 |
Lavigne, Frédéric | 1 |
Lazartigues, Laura | 1 |
Mathy, Fabien | 1 |
Michael Ramscar | 1 |
Rey, Arnaud | 1 |
Tosatto, Laure | 1 |
More ▼ |
Publication Type
Journal Articles | 2 |
Reports - Research | 2 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Rey, Arnaud; Fagot, Joël; Mathy, Fabien; Lazartigues, Laura; Tosatto, Laure; Bonafos, Guillem; Freyermuth, Jean-Marc; Lavigne, Frédéric – Cognitive Science, 2022
The extraction of cooccurrences between two events, A and B, is a central learning mechanism shared by all species capable of associative learning. Formally, the cooccurrence of events A and B appearing in a sequence is measured by the transitional probability (TP) between these events, and it corresponds to the probability of the second stimulus…
Descriptors: Animals, Learning Processes, Associative Learning, Serial Learning
Fabian Tomaschek; Michael Ramscar; Jessie S. Nixon – Cognitive Science, 2024
Sequence learning is fundamental to a wide range of cognitive functions. Explaining how sequences--and the relations between the elements they comprise--are learned is a fundamental challenge to cognitive science. However, although hundreds of articles addressing this question are published each year, the actual learning mechanisms involved in the…
Descriptors: Sequential Learning, Learning Processes, Serial Learning, Executive Function