Nonassociative Learning
Name
Nonassociative learning_Encyclopedia.pdf
Description
Encyclopedia chapter
Size
90.89 KB
Format
Adobe PDF
Checksum (MD5)
a9a790e20cbb070ce713331539113840
Author(s)
Schmid, Susanne
Poon, Chi-Sang
Date Issued
January 2012
Journal
Encyclopedia of the Sciences of Learning
Publisher
Springer-Verlag
Citation
Kirchkamp, Oliver et al. “Nonassociative Learning.” Encyclopedia of the Sciences of Learning. Ed. Norbert M. Seel. Boston, MA: Springer US, 2012. 2475-2477. Web. 16 Feb. 2012.
Version
Author's final manuscript
Abstract
Nonassociative learning is an implicit (non-declarative) or procedural form of learning that systematically attenuates (habituates) or augments (sensitizes) an animal’s sensory percept or behavioral response to a sensory stimulus upon repeated or continual presentation of the stimulus. It differs from associative learning in that it does not require the temporal pairing between two different sensory stimuli or between a sensory stimulus and corresponding response feedback. It is considered a fundamental form of learning that can be observed across all animal phyla and most sensory modalities. It may also be regarded as one of the simplest forms of unsupervised learning in animals, in that it automatically classifies the valence of a sensory input based upon its temporal pattern without the need for a supervisory signal. In most animal species including humans, habituation and sensitization take place in sensory and sensorimotor pathways and provide an important central adaptation and gating mechanism for selective suppression or amplification of sensory information reaching higher centers of the brain or their effector organs.
MIT Department
Harvard University--MIT Division of Health Sciences and Technology
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1007/978-1-4419-1428-6_1849
