Abstract
The model here proposed simulates the development of the object recognition capability, assuming that recognition does not imply any sort of explicit geometrical reconstruction and emerges as result of interactions between epigenetic in.uences and basic neural plasticity mechanisms. The model is a hierarchy of arti.cial neural maps, mainly based on the LISSOM architecture, achieving self-organization through simulated intercortical lateral connections.
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Plebe, A., Domenella, R.G. (2005). The Emergence of Visual Object Recognition. In: Duch, W., Kacprzyk, J., Oja, E., Zadrożny, S. (eds) Artificial Neural Networks: Biological Inspirations – ICANN 2005. ICANN 2005. Lecture Notes in Computer Science, vol 3696. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11550822_79
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DOI: https://doi.org/10.1007/11550822_79
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