Skip to content
Register Sign in Wishlist

Mechanisms in Classical Conditioning
A Computational Approach

£98.99

  • Date Published: January 2010
  • availability: In stock
  • format: Hardback
  • isbn: 9780521887809

£ 98.99
Hardback

Add to cart Add to wishlist

Other available formats:
eBook


Looking for an inspection copy?

This title is not currently available on inspection

Description
Product filter button
Description
Contents
Resources
Courses
About the Authors
  • What 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.

    • Highlights a new approach to understanding the neurological mechanisms of classical conditioning using computer simulated data
    • An analysis of classical conditioning and other psychological behaviors allow previously contradictory experimental data to be explained
    • Applies the concept to case studies of behaviors making clear the relationship between the mechanisms and the resulting behavior
    Read more

    Customer reviews

    Not yet reviewed

    Be the first to review

    Review was not posted due to profanity

    ×

    , create a review

    (If you're not , sign out)

    Please enter the right captcha value
    Please enter a star rating.
    Your review must be a minimum of 12 words.

    How do you rate this item?

    ×

    Product details

    • Date Published: January 2010
    • format: Hardback
    • isbn: 9780521887809
    • length: 504 pages
    • dimensions: 254 x 179 x 27 mm
    • weight: 1.13kg
    • contains: 142 b/w illus. 9 tables
    • availability: In stock
  • Table of Contents

    Part I. Introduction:
    1. Classical conditioning: data and theories
    Part II. Attentional and Associative Mechanisms:
    2. An attentional-associative model of conditioning
    3. Simple and compound conditioning
    4. The neurobiology of classical conditioning
    5. Latent inhibition
    6. The neurobiology of latent inhibition
    7. Creativity
    8. Blocking and overshadowing
    9. Extinction
    10. The neurobiology of extinction
    Part III. Configural Mechanisms:
    11. A configural model of conditioning
    12. Occasion setting
    13. The neurobiology of occasion setting
    Part IV. Attentional, Associative, Configural, and Timing Mechanisms:
    14. Configuration and timing: timing and occasion setting
    15. Attention and configuration: extinction cues
    16. Attention, association and configuration: causal learning and inferential reasoning
    Part V. Conclusion: Mechanisms of classical conditioning.

  • Author

    Nestor Schmajuk, Duke University, North Carolina
    Dr Schmajuk has been an Associate Professor of Biomedical Engineering in Buenos Aires (Argentina), an Assistant Professor of Psychology at Northwestern University, and is presently a Professor of Psychology and Neuroscience at Duke University. Here he has developed several neural network models of classical conditioning, operant conditioning, animal communication, creativity, spatial learning, cognitive mapping and prepulse inhibition. Previous books by this author include Animal Learning and Cognition: A Neural Network Approach, 1997.

Related Books

also by this author

Sorry, this resource is locked

Please register or sign in to request access. If you are having problems accessing these resources please email [email protected]

Register Sign in
Please note that this file is password protected. You will be asked to input your password on the next screen.

» Proceed

You are now leaving the Cambridge University Press website. Your eBook purchase and download will be completed by our partner www.ebooks.com. Please see the permission section of the www.ebooks.com catalogue page for details of the print & copy limits on our eBooks.

Continue ×

Continue ×

Continue ×
warning icon

Turn stock notifications on?

You must be signed in to your Cambridge account to turn product stock notifications on or off.

Sign in Create a Cambridge account arrow icon
×

Find content that relates to you

Join us online

This site uses cookies to improve your experience. Read more Close

Are you sure you want to delete your account?

This cannot be undone.

Cancel

Thank you for your feedback which will help us improve our service.

If you requested a response, we will make sure to get back to you shortly.

×
Please fill in the required fields in your feedback submission.
×