Modularity of Sequence Learning Systems in Humans,
Abstract
In this chapter we examine other components that contribute to skill, concentrating on psychophysical studies of sequence learning. We provide evidence that sequence representation is modular in the sense that it is separable from the motor systems that actually implement movement. Thus, sequencing resembles timing in that an abstract relationship is transferrable among different input/output systems. Secondly, we provide evidence for different sequential learning systems that are in certain respects independent of one another. We review some network models of sequence learning that are beginning to provide insight into possible computational mechanisms of learning. In addition, we discuss ways in which the psychophysical studies could be applied to an analysis of neural mechanisms involved in sequencing.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 1995
- Accession Number
- ADA327301
Entities
People
- Steven W. Keele
- Tim Curran
Organizations
- University of Oregon