A neural network view of the processes involved in classical conditioning using computational simulations to analyse actual experimental data.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : True Oak Books, Highland, NY, Etats-Unis
Etat : Very Good. 8vo 8" - 9" tall; The book is in great overall condition, showing only minor cosmetic wear.; - We're committed to your satisfaction. We offer free returns and respond promptly to all inquiries. Your item will be carefully wrapped in bubble wrap and securely boxed. All orders ship on the same or next business day. Buy with confidence. N° de réf. du vendeur GER7-9501-A-2.5
Quantité disponible : 1 disponible(s)
Vendeur : Basi6 International, Irving, TX, Etats-Unis
Etat : Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. N° de réf. du vendeur ABEOCT25-103841
Quantité disponible : 3 disponible(s)
Vendeur : Prior Books Ltd, Cheltenham, Royaume-Uni
Hardcover. Etat : Like New. First Edition. A firm and square hardback with strong joints, and sharp corners just showing a few very minor cosmetic rubs. Hence a non-text page has a small 'damaged' stamp. Despite such this book is actually in nearly new condition. Thus the contents are crisp, fresh and tight. Also, no pen-marks and not from a library so no such stamps or labels. Now offered for sale at a very sensible price. N° de réf. du vendeur 202219
Quantité disponible : 1 disponible(s)
Vendeur : Basi6 International, Irving, TX, Etats-Unis
Etat : Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. N° de réf. du vendeur ABEOCT25-103842
Quantité disponible : 1 disponible(s)
Vendeur : Labyrinth Books, Princeton, NJ, Etats-Unis
Etat : Very Good. N° de réf. du vendeur 134410
Quantité disponible : 3 disponible(s)
Vendeur : Books Puddle, New York, NY, Etats-Unis
Etat : New. pp. xvii + 485. N° de réf. du vendeur 26612605
Quantité disponible : 4 disponible(s)
Vendeur : Majestic Books, Hounslow, Royaume-Uni
Etat : New. pp. xvii + 485 Illus. N° de réf. du vendeur 8316706
Quantité disponible : 4 disponible(s)
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
Etat : New. pp. xvii + 485. N° de réf. du vendeur 18612599
Quantité disponible : 4 disponible(s)
Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
HRD. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur FM-9780521887809
Quantité disponible : 3 disponible(s)
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Hardcover. Etat : new. Hardcover. 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. Written for graduates and researchers in neuroscience, computer science, biomedical engineering and psychology, the author presents a number of neural network models that incorporate associative, attentional, configural and timing mechanisms and shows, through computer simulations, how they explain the multiple properties of associative learning. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9780521887809
Quantité disponible : 1 disponible(s)