did-you-know? rent-now

Amazon no longer offers textbook rentals. We do!

did-you-know? rent-now

Amazon no longer offers textbook rentals. We do!

We're the #1 textbook rental company. Let us show you why.

9780262016964

Biological Learning and Control How the Brain Builds Representations, Predicts Events, and Makes Decisions

by ;
  • ISBN13:

    9780262016964

  • ISBN10:

    0262016966

  • Format: Hardcover
  • Copyright: 2012-01-27
  • Publisher: The MIT Press

Note: Supplemental materials are not guaranteed with Rental or Used book purchases.

Purchase Benefits

List Price: $53.33 Save up to $24.53
  • Rent Book $28.80
    Add to Cart Free Shipping Icon Free Shipping

    TERM
    PRICE
    DUE
    USUALLY SHIPS IN 24-48 HOURS
    *This item is part of an exclusive publisher rental program and requires an additional convenience fee. This fee will be reflected in the shopping cart.

Supplemental Materials

What is included with this book?

Summary

In Biological Learning and Control, Reza Shadmehr and Sandro Mussa-Ivaldi present a theoretical framework for understanding the regularity of the brain's perceptions, its reactions to sensory stimuli, and its control of movements. They offer an account of perception as the combination of prediction and observation: the brain builds internal models that describe what should happen and then combines this prediction with reports from the sensory system to form a belief. Considering the brain's control of movements, and variations despite biomechanical similarities among old and young, healthy and unhealthy, and humans and other animals, Shadmehr and Mussa-Ivaldi review evidence suggesting that motor commands reflect an economic decision made by our brain weighing reward and effort. This evidence also suggests that the brain prefers to receive a reward sooner than later, devaluing or discounting reward with the passage of time; then as the value of the expected reward changes in the brain with the passing of time (because of development, disease, or evolution), the shape of our movements will also change. The internal models formed by the brain provide the brain with an essential survival skill: the ability to predict based on past observations. The formal concepts presented by Shadmehr and Mussa-Ivaldi offer a way to describe how representations are formed, what structure they have, and how the theoretical concepts can be tested.

Author Biography

Reza Shadmehr is Professor of Biomedical Engineering and Neuroscience at Johns Hopkins University and the author of The Computational Neurobiology of Reaching and Pointing (MIT Press, 2005). Sandro Mussa-Ivaldi is Professor of Physiology in the Medical School at Northwestern University, with joint appointments in Physical Medicine and Rehabilitation and Biomedical Engineering. He is also Founder and Director of the Robotics Laboratory at the Rehabilitation Institute of Chicago.

Table of Contents

Series Forewordp. vii
Introductionp. 1
Space in the Mammalian Brainp. 7
Building a Space Mapp. 35
The Space Insidep. 67
Sensorimotor Integration and State Estimationp. 95
Bayesian Estimation and Inferencep. 143
Learning to Make Accurate Predictionsp. 177
Learning Fasterp. 213
The Multiple Timescales of Memoryp. 225
Building Generative Models: Structural Learning and Identification of the Learnerp. 251
Costs and Rewards of Motor Commandsp. 279
Cost of Time in Motor Controlp. 307
Optimal Feedback Controlp. 335
Appendixp. 367
Notesp. 371
Referencesp. 375
Indexp. 383
Table of Contents provided by Ingram. All Rights Reserved.

Supplemental Materials

What is included with this book?

The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.

The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.

Rewards Program