Abstract
In this study anatomical characteristics of a neurobiological model of associative conditioning (i.e. Aplysia, a marine mollusc) were used for the development of a novel neural network architecture for the recognition (and on-line classification) of temporal patterns. Compared to the performance of a standard Back Propagation network, the results indicate that this novel architecture is a step forward towards the construction of a reliable mechanism for time-series analysis.
This study was sponsored by SKBS. SKBS (foundation for knowledge based systems) is a Dutch foundation that stimulates research in the field of KBS and technology transfer between universities and industry
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© 1993 Springer-Verlag London Limited
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Spigt, M.H., Brée, D.S., Nielen, M. (1993). Incorporation of Neurobiological Aspects of Aplysia’s Associative Conditioning in Neural Networks for on-line Pattern Detection. In: Gielen, S., Kappen, B. (eds) ICANN ’93. ICANN 1993. Springer, London. https://doi.org/10.1007/978-1-4471-2063-6_17
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DOI: https://doi.org/10.1007/978-1-4471-2063-6_17
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