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EBSCO_ocn702112779 |
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110216s2010 enka ob 101 0 eng d |
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|a 694147492
|a 728836723
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|a 9780511860416
|q (electronic bk.)
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|q (electronic bk.)
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|q (electronic bk.)
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|z 9780521113649
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|a (OCoLC)702112779
|z (OCoLC)694147492
|z (OCoLC)728836723
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|a BF319.5.P34
|b C66 2010eb
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|a PSY
|x 008000
|2 bisacsh
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|a PSAN
|2 bicssc
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|a 153.1
|2 22
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|a UAMI
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|a Computational models of conditioning /
|c edited by Nestor Schmajuk.
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|a Cambridge ;
|a New York :
|b Cambridge University Press,
|c 2010.
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|a 1 online resource (vii, 275 pages) :
|b illustrations
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336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Includes bibliographical references and index.
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505 |
0 |
0 |
|g 1.
|t Evolution of attention in learning /
|r John K. Kruschke and Richard A. Hullinger --
|g 2.
|t The arguments of associations /
|r Justin A. Harris --
|g 3.
|t The hybrid modeling approach to conditioning /
|r Michael E. Le Pelley --
|g 4.
|t Within-compound associations: models and data /
|r James E. Witnauer and Ralph R. Miller --
|g 5.
|t Associative modulation of US processing: implications for understanding of habituation /
|r Allan R. Wagner and Edgar H. Vogel --
|g 6.
|t Attention, associations, and configurations in conditioning /
|r Nestor A. Schmajuk ;;; [and others] --
|g 7.
|t Computer simulation of the cerebellum /
|r Michael D. Mauk -- 8.
|t The operant/respondent distinction: a computational neural-network analysis /
|r Jose; E. Burgos.
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|a "Since 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 in the field provide the latest advancements and present detailed descriptions of how the models simulate conditioned behavior and its physiological bases, offering advanced students and researchers examples of how the models are used to analyze existing experimental results and to 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 behavior"--
|c Provided by publisher
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588 |
0 |
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|a Print version record.
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590 |
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|a eBooks on EBSCOhost
|b EBSCO eBook Subscription Academic Collection - Worldwide
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650 |
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0 |
|a Paired-association learning
|v Congresses.
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650 |
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0 |
|a Cognition
|v Congresses.
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650 |
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0 |
|a Eyelid conditioning
|v Congresses.
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650 |
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|a Conditioned response.
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650 |
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0 |
|a Paired-association learning.
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650 |
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2 |
|a Conditioning, Psychological
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650 |
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2 |
|a Association Learning
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650 |
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2 |
|a Models, Neurological
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650 |
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6 |
|a Apprentissage de paires associées
|v Congrès.
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650 |
|
6 |
|a Cognition
|v Congrès.
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650 |
|
6 |
|a Conditionnement palpébral
|v Congrès.
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650 |
|
6 |
|a Réflexe conditionné.
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650 |
|
6 |
|a Apprentissage de paires associées.
|
650 |
|
7 |
|a PSYCHOLOGY
|x Cognitive Psychology.
|2 bisacsh
|
650 |
|
7 |
|a Conditioned response
|2 fast
|
650 |
|
7 |
|a Cognition
|2 fast
|
650 |
|
7 |
|a Eyelid conditioning
|2 fast
|
650 |
|
7 |
|a Paired-association learning
|2 fast
|
655 |
|
7 |
|a Conference papers and proceedings
|2 fast
|
700 |
1 |
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|a Schmajuk, Nestor A.
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776 |
0 |
8 |
|i Print version:
|t Computational models of conditioning.
|d Cambridge ; New York : Cambridge University Press, 2010
|z 9780521113649
|w (DLC) 2010022337
|w (OCoLC)601109270
|
856 |
4 |
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|u https://ebsco.uam.elogim.com/login.aspx?direct=true&scope=site&db=nlebk&AN=347868
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