Category Theory Applied to Neural Modeling and Graphical Representations

  • Authors:

  • Affiliations:

  • Venue:
  • IJCNN '00 Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 3 - Volume 3
  • Year:
  • 2000

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Abstract

Category theory can be applied to mathematically model the semantics of cognitive neural systems. Here, we employ co-limits, functors and natural transformations to model the implementation of concept hierarchies in neural networks equipped with multiple sensors.