
Published online:
22 August 2013
Published in print:
27 January 2012
Online ISBN:
9780262301282
Print ISBN:
9780262016964
Contents
-
-
-
-
-
-
-
-
-
-
-
-
-
9.1 Structure of Dynamics for Two Example Systems 9.1 Structure of Dynamics for Two Example Systems
-
9.2 Evidence for Learning a Structural Model 9.2 Evidence for Learning a Structural Model
-
9.3 Nonuniqueness of the Structure 9.3 Nonuniqueness of the Structure
-
9.4 Subspace Method: Intuitive Ideas 9.4 Subspace Method: Intuitive Ideas
-
9.5 Subspace Analysis 9.5 Subspace Analysis
-
9.6 Examples 9.6 Examples
-
9.7 Estimating the Noise 9.7 Estimating the Noise
-
9.8 Identifying the Structure of the Learner 9.8 Identifying the Structure of the Learner
-
9.9 Expectation Maximization (EM) 9.9 Expectation Maximization (EM)
-
Summary Summary
-
-
-
-
-
-
Chapter
9 Building Generative Models: Structural Learning and Identification of the Learner
Get access-
Published:January 2012
Cite
Shadmehr, Reza, and Sandro Mussa-Ivaldi, 'Building Generative Models: Structural Learning and Identification of the Learner', Biological Learning and Control: How the Brain Builds Representations, Predicts Events, and Makes Decisions (Cambridge, MA , 2012; online edn, MIT Press Scholarship Online, 22 Aug. 2013), https://doi.org/10.7551/mitpress/9780262016964.003.0010, accessed 19 Apr. 2025.
Abstract
This chapter presents a discussion on structural learning and identification of the structure of the learner. It reveals that the prior exposure to a rotation perturbation, despite being random and unlearnable, seemed to significantly enhance learning rates for a member of the same perturbation class. It shows that the problem of structural learning is that of describing a dynamical system that in principle can accurately predict the sensory consequences of motor commands, that is, learn the structure of a forward model. This chapter suggests that Expectation Maximization is an alternate approach to estimating the structure of a linear dynamical system.
You do not currently have access to this chapter.
Sign in
Personal account
- Sign in with email/username & password
- Get email alerts
- Save searches
- Purchase content
- Activate your purchase/trial code
- Add your ORCID iD
Purchase
Our books are available by subscription or purchase to libraries and institutions.
Purchasing informationMetrics
View Metrics
Metrics
Total Views
5
4
Pageviews
1
PDF Downloads
Since 8/1/2023
Month: | Total Views: |
---|---|
August 2023 | 2 |
August 2024 | 1 |
October 2024 | 2 |
Citations
Altmetrics
Get help with access
Institutional access
Access to content on Oxford Academic is often provided through institutional subscriptions and purchases. If you are a member of an institution with an active account, you may be able to access content in one of the following ways:
IP based access
Typically, access is provided across an institutional network to a range of IP addresses. This authentication occurs automatically, and it is not possible to sign out of an IP authenticated account.
Sign in through your institution
Choose this option to get remote access when outside your institution. Shibboleth/Open Athens technology is used to provide single sign-on between your institution’s website and Oxford Academic.
If your institution is not listed or you cannot sign in to your institution’s website, please contact your librarian or administrator.
Sign in with a library card
Enter your library card number to sign in. If you cannot sign in, please contact your librarian.
Society Members
Society member access to a journal is achieved in one of the following ways:
Sign in through society site
Many societies offer single sign-on between the society website and Oxford Academic. If you see ‘Sign in through society site’ in the sign in pane within a journal:
If you do not have a society account or have forgotten your username or password, please contact your society.
Sign in using a personal account
Some societies use Oxford Academic personal accounts to provide access to their members. See below.
Personal account
A personal account can be used to get email alerts, save searches, purchase content, and activate subscriptions.
Some societies use Oxford Academic personal accounts to provide access to their members.
Viewing your signed in accounts
Click the account icon in the top right to:
Signed in but can't access content
Oxford Academic is home to a wide variety of products. The institutional subscription may not cover the content that you are trying to access. If you believe you should have access to that content, please contact your librarian.
Institutional account management
For librarians and administrators, your personal account also provides access to institutional account management. Here you will find options to view and activate subscriptions, manage institutional settings and access options, access usage statistics, and more.