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Modelling Cortical Function Starting with Minimal Connectivity

Towsey, Michael W. & Diederich, Joachim (1999) Modelling Cortical Function Starting with Minimal Connectivity. In 6th International Conference of Neural Information Processing Systems (NIPS), 16-20 November, 1999, Perth, Australia.

Abstract

Neural models of cortical function frequently assume initial profuse connectivity and ignore issues of cortical development. There is increasing interest in cortical models that minimise pre-specification of architecture and instead allow input and learning rules to sculpt connectivity. We describe a model of cortical development that begins with minimal connectivity but arrives at useful functionality through a variety of mechanisms including Hebbian learning, volume learning, synaptic sprouting and structured input. We discuss some of the issues pertinent to the building of neural structure.

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ID Code: 7692
Item Type: Conference Paper
Additional Information: For more information, please contact the author: m.towsey@qut.edu.au
Keywords: neural networks, cortical function, neural connectivity
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Neural Evolutionary and Fuzzy Computation (080108)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Deposited On: 15 May 2007
Last Modified: 10 Aug 2011 23:51

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