Perceptual Effect on Motor Learning in the Serial Reaction-Time Task
Bibliographic Data
| ID | 10122692 |
|---|---|
| Authors | Ferenc Kemény (0000-0003-2961-3014, Budapest University of Technology and Economics, corresponding author), Ágnes Lukács (0000-0002-6338-1715, Hungarian Academy of Sciences) |
| Year | 2011 |
| Volume | 138 |
| Issue | 2 |
| Pages | 110-126 |
| Publication date | 2011-04-07 |
| Open Access | No |
| Type | ARTICLE |
| Venue | The Journal of General Psychology (JOURNAL) |
| Journal identifiers | ISSN: 0022-1309 • E-ISSN: 1940-0888 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/00221309.2010.542509 |
| PMID | 21560468 |
| OpenAlex | W2080406829 |
| Language | EN |
| Citations received | 2 |
| References cited | 18 |
Although the Serial Reaction-Time Task has been an effective tool in studying procedural learning, there is still a debate as to whether learning in the task is effector-based, stimulus-based, or response-based. In this article, the authors contribute to this debate by contrasting response- and stimulus-based learning by manipulating them selectively and simultaneously. Results show that (a) participants learned response sequences in the absence of stimulus-specific perceptual sequence information but (b) not stimulus sequences without corresponding response information. In a third condition, response sequence and stimulus frequency information were in conflict, and each effect decreased learning in the other domain. Overall, our findings show that learning in these tasks is primarily motor-based, but it is also constrained by relatively salient perceptual information. Together with earlier findings in the literature, the findings also suggest a task and stimulus-arrangement-specific interaction between motor and perceptual learning, where relevance and salience of the specific information plays a crucial role
Cognitive psychology · Motor Learning · Perception · Perceptual Learning · Salience (neuroscience · Salient · Sequence learning · Serial reaction time · Stimulus (psychology · Stimulus–response model · Action Observation and Synchronization · Artificial Intelligence · Computer Science · Motor Control and Adaptation · Muscle activation and electromyography studies · Neuroscience · Psychology
| Citations per year | 0.15 |
|---|---|
| Citation span | 2013 - 2025 (13) |
| Highly cited | No |