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Representational Issues in Neural Systems: Example from a Neural Network Model of Set-Shifting Paradigm Experiments

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Part of the book series: Perspectives in Neural Computing ((PERSPECT.NEURAL))

Abstract

Experiments in the Set-Shifting Paradigm (SSP) are used to test subjects’ ability to acquire attentional sets and manipulate them. In normal primates, acquisition of discriminations requiring an intra-dimensional shift (IDS) is superior to that requiring an extra-dimensional shift (EDS). Further, damage to the prefrontal cortex is seen to impair EDS performance. We propose a bias theory to account for the IDS-EDS asymmetry. Uniform bias developed for exemplars from the relevant dimension makes it difficult to subsequently acquire exemplars from the previously irrelevant dimension. A neural network model embodying this theory replicates the experimental results. Prefrontal cortex is hypothesised to be involved in reward-based category learning which in turn facilitates EDS performance. Basic processes in neural systems that can support the formation of potentially higher-level representations are pointed out.

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© 1998 Springer-Verlag London Limited

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Bapi, R.S., Denham, M.J. (1998). Representational Issues in Neural Systems: Example from a Neural Network Model of Set-Shifting Paradigm Experiments. In: Bullinaria, J.A., Glasspool, D.W., Houghton, G. (eds) 4th Neural Computation and Psychology Workshop, London, 9–11 April 1997. Perspectives in Neural Computing. Springer, London. https://doi.org/10.1007/978-1-4471-1546-5_11

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  • DOI: https://doi.org/10.1007/978-1-4471-1546-5_11

  • Publisher Name: Springer, London

  • Print ISBN: 978-3-540-76208-9

  • Online ISBN: 978-1-4471-1546-5

  • eBook Packages: Springer Book Archive

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