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Emergent Neural Computational Architectures Based on Neuroscience pp 68–82Cite as

Computational Investigation of Hemispheric Specialization and Interactions

Part of the Lecture Notes in Computer Science book series (LNAI,volume 2036)

Abstract

Current understanding of the origins of cerebral specializa- tion is fairly limited. This chapter summarizes some recent work devel- oping and studying neural models that are intended to provide a bet- ter understanding of this issue. These computational models focus on emergent lateralization and also hemispheric interactions during recovery from simulated cortical lesions. The models, consisting of corresponding left and right cortical regions connected by the corpus callosum, handle tasks such as word reading and letter classification. The results demon- strate that it is relatively easy to simulate cerebral specialization and to show that the intact, non-lesioned hemisphere is often partially respon- sible for recovery. This work demonstrates that computational models can be a useful supplement to human and animal studies of hemispheric relations, and has implications for better understanding of modularity and robustness in neurocomputational systems in general.

Keywords

  • Root Mean Square Error
  • Corpus Callosum
  • Left Hemisphere
  • Neural Model
  • Hemispheric Asymmetry

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Author information

Authors and Affiliations

  1. Dept. of Computer Science, University of Maryland, A. V. Williams Bldg., MD, 20742, USA

    James A. Reggia & Yuri Shkuro

  2. UMIACS and Department of Neurology, USA

    James A. Reggia

  3. A. B. Kogan Research Institute for Neurocybernetics, Rostov State University, Russia

    Natalia Shevtsova

Authors
  1. James A. Reggia
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  2. Yuri Shkuro
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  3. Natalia Shevtsova
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Editor information

Editors and Affiliations

  1. Centre of Informatics, SCET, University of Sunderland, St PetersWay, Sunderland SR6 0DD, UK

    Stefan Wermter

  2. Department of Computer Science, University of York, York, Y010 5DD, UK

    Jim Austin

  3. Institute for Adaptive and Neural Computation, University of Edinburgh, 5 Forrest Hill, Edinburgh, UK

    David Willshaw

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Reggia, J.A., Shkuro, Y., Shevtsova, N. (2001). Computational Investigation of Hemispheric Specialization and Interactions. In: Wermter, S., Austin, J., Willshaw, D. (eds) Emergent Neural Computational Architectures Based on Neuroscience. Lecture Notes in Computer Science(), vol 2036. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44597-8_5

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  • DOI: https://doi.org/10.1007/3-540-44597-8_5

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