000			03061nam a22003378i 4500
001			CR9780511711831
003			UkCbUP
005			20200124160258.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			100225s2010||||enk o ||1 0|eng|d
020			_a9780511711831 (ebook)
020			_z9780521887809 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aBF319 _b.S357 2010
082	0	0	_a153.1/526 _222
100	1		_aSchmajuk, Nestor A., _eauthor.
245	1	0	_aMechanisms in classical conditioning : _ba computational approach / _cNestor Schmajuk.
264		1	_aCambridge : _bCambridge University Press, _c2010.
300			_a1 online resource (xvii, 485 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
505	0		_apt. I. Introduction. Classical conditioning : data and theories -- pt. II. Attentional and associative mechanisms. An attentional-associative model of conditioning ; Simple and compound conditioning ; The neurobiology of classical conditioning ; Latent inhibition ; The neurobiology of latent inhibition ; Creativity ; Overshadowing and blocking ; Extinction ; The neurobiology of extinction -- pt. III. Configural mechanisms. A configural model of conditioning ; Occasion setting ; The neurobiology of occasion setting -- pt. IV. Attentional, associative, configural, and timing mechanisms. Configuration and timing : timing and occasion setting ; Attention and configuration : extinction cues ; Attention, association and configuration : causal learning and inferential reasoning -- pt. V. Conclusion : mechanisms of classical conditioning.
520			_aWhat mechanisms are involved in enabling us to generate predictions of what will happen in the near future? Although we use associative mechanisms as the basis to predict future events, such as using cues from our surrounding environment, timing, attentional, and configural mechanisms are also needed to improve this function. Timing mechanisms allow us to determine when those events will take place. Attentional mechanisms ensure that we keep track of cues that are present when unexpected events occur and disregard cues present when everything happens according to our expectations. Configural mechanisms make it possible to combine separate cues into one signal that predicts an event different from that predicted individually by separate cues. Written for graduates and researchers in neuroscience, computer science, biomedical engineering and psychology, the author presents neural network models that incorporate these mechanisms and shows, through computer simulations, how they explain the multiple properties of associative learning.
650		0	_aConditioned response _xComputer simulation.
650		0	_aNeural networks (Computer science)
776	0	8	_iPrint version: _z9780521887809
856	4	0	_uhttps://doi.org/10.1017/CBO9780511711831
999			_c520142 _d520140