Abstract
The tectal structures underlying the prey-catching of toads are one of the best-known mechanisms in neurobiology. In our paper we present a simplified model of the prey recognition of the common toad Bufo bufo. We show that the recognition performance can be explained by coupling two neuron layers that exhibit locally excitatory interaction while there is a topographic inhibition between the layers. The neurons are modeled as nodes with gaussian lateral excitation and time-dependent exponential decrease in activity. We derive a method to learn the adjustable parameters by supervised training.
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References
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© 1994 Springer-Verlag London Limited
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Stolte, E., Littmann, E., Ritter, H. (1994). Dynamic Vision System: Modeling the prey recognition of common toads Bufo bufo . In: Marinaro, M., Morasso, P.G. (eds) ICANN ’94. ICANN 1994. Springer, London. https://doi.org/10.1007/978-1-4471-2097-1_7
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DOI: https://doi.org/10.1007/978-1-4471-2097-1_7
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