000			02954nam a22003498i 4500
001			CR9780511760402
003			UkCbUP
005			20200124160314.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			100506s2010||||enk o ||1 0|eng|d
020			_a9780511760402 (ebook)
020			_z9780521113649 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aBF319.5.P34 _bC66 2010
082	0	0	_a153.1 _222
245	0	0	_aComputational models of conditioning / _cedited by Nestor Schmajuk.
264		1	_aCambridge : _bCambridge University Press, _c2010.
300			_a1 online resource (vii, 275 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	0	_g1. _tEvolution of attention in learning / _rJohn K. Kruschke and Richard A. Hullinger -- _g2. _tThe arguments of associations / _rJustin A. Harris -- _g3. _tThe hybrid modeling approach to conditioning / _rMichael E. Le Pelley -- _g4. _tWithin-compound associations: models and data / _rJames E. Witnauer and Ralph R. Miller -- _g5. _tAssociative modulation of US processing: implications for understanding of habituation / _rAllan R. Wagner and Edgar H. Vogel -- _g6. _tAttention, associations, and configurations in conditioning / _rNestor A. Schmajuk ;;; [et al.] -- _g7. _tComputer simulation of the cerebellum / _rMichael D. Mauk -- 8. _tThe operant/respondent distinction: a computational neural-network analysis / _rJose; E. Burgos.
520			_aSince first described, multiple properties of classical conditioning have been discovered, establishing the need for mathematical models to help explain the defining features. The mathematical complexity of the models puts our understanding of their workings beyond the ability of our intuitive thinking and makes computer simulations irreplaceable. The complexity of the models frequently results in function redundancy, a natural property of biologically evolved systems that is much desired in technologically designed products. Experts provide the latest advancements in the field and present detailed descriptions of how the models simulate conditioned behaviour and its physiological bases. It offers advanced students and researchers examples of how the models are used to analyse existing experimental results and design future experiments. This volume is of great interest to psychologists and neuroscientists, as well as computer scientists and engineers searching for ideas applicable to the design of robots that mimic animal behaviour.
650		0	_aPaired-association learning _vCongresses.
650		0	_aCognition _vCongresses.
650		0	_aEyelid conditioning _vCongresses.
700	1		_aSchmajuk, Nestor A., _eeditor.
776	0	8	_iPrint version: _z9780521113649
856	4	0	_uhttps://doi.org/10.1017/CBO9780511760402
999			_c521335 _d521333