Abstract
There is experimental evidence forthe separate processing of different features that belong to a complex visual stimulus in different brain areas. The temporal correlation betw een neurons responding to each of these features is often thought to be the binding element. In this paper we present a neural netw ork that separately processes objects and positions, in whic hthe association between each stimulus and its spatial location is done by means of temporal correlation. Pools of neurons responding to the stimulus and its corresponding location tend to synchronize their responses, while other stimuli and other locations tend to activate in different time frames.
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Lago-Fernández, L.F., Deco, G. (2001). Simultaneous Parallel Processing of Object and Position by Temporal Correlation. In: Mira, J., Prieto, A. (eds) Bio-Inspired Applications of Connectionism. IWANN 2001. Lecture Notes in Computer Science, vol 2085. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45723-2_7
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DOI: https://doi.org/10.1007/3-540-45723-2_7
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Publisher Name: Springer, Berlin, Heidelberg
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Online ISBN: 978-3-540-45723-7
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