9780521887809 - Mechanisms in Classical Conditioning: A Computational Approach di Schmajuk, Nestor (18 risultati)

Condizione: 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.

Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Hardcover. Condizione: 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.

Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Condizione: Very Good.

Condizione: New. pp. xvii + 485.

Condizione: New. pp. xvii + 485 Illus.

Condizione: New. pp. xvii + 485.

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Hardcover. Condizione: 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.

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Hardcover. Condizione: Brand New. 1st edition. 472 pages. 9.84x6.93x1.18 inches. In Stock.

Hardback. Condizione: New. New copy - Usually dispatched within 4 working days.

Hardcover. Condizione: 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 our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Gebunden. Condizione: New. 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, thro.

Hardcover. Condizione: New. Brand New ! Fast Delivery "International Edition " and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 4-6 Working days .and we do have flat rate for up to 2LB. Extra shipping charges will be requested This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.

Buch. Condizione: Neu. Neuware - A neural network view of the processes involved in classical conditioning using computational simulations to analyse actual experimental data.

Hardcover. Condizione: 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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.