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Neuroconstructivism Volume TwoPerspectives and Prospects$
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Denis Mareschal, Sylvain Sirois, Gert Westermann, and Mark H. Johnson

Print publication date: 2007

Print ISBN-13: 9780198529934

Published to Oxford Scholarship Online: March 2012

DOI: 10.1093/acprof:oso/9780198529934.001.0001

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PRINTED FROM OXFORD SCHOLARSHIP ONLINE (oxford.universitypressscholarship.com). (c) Copyright Oxford University Press, 2020. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 28 October 2020

Why let networks grow?

Why let networks grow?

Chapter:
(p.65) Chapter 4 Why let networks grow?
Source:
Neuroconstructivism Volume Two
Author(s):

Thomas R. Shultz

Shreesh P. Mysore

Steven R. Quartz

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780198529934.003.0004

This chapter examines more directly how development can be conceptualized within the context of neural networks that people learn. It argues that experience-dependent architectural plasticity has been largely under-emphasized in current accounts of neural network learning. It uses the example of auditory localization in barn owls as a case study in which architectural adaptation plays a fundamental role. The presence of architectural plasticity also has consequences for models of higher-level cognitive abilities. It shows how the cascade correlation learning architecture can be used to model a broad range of developmental phenomena in children's reasoning. In particular, it argues that architectural plasticity may underlie what Piaget described as stages of development.

Keywords:   neural network learning, Chomsky, developmental change, cascade-correlation algorithm, barn owls, architectural plasticity, auditory localization

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