Simultaneous Parallel Processing of Object and Position by Temporal Correlation
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.
KeywordsVisual Search Temporal Correlation Input Current Stimulus Space Recurrent Connection
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- 1.Abbott, L.F.: Firing rate models for neural populations. In Benhar, O., Bosio, C., Del Giudice, P., Tabet, E., eds. Neural Networks: From Biology to High-Energy Physics (ETS Editrice, Pisa, 1991) 179–196Google Scholar
- 5.von der Malsburg, C.: The correlation theory of brain function. In Domany, E., van Hemmen, J.L., Schulten, K., eds. Models of Neural networks II (Springer, Berlin, 1994) 95–119Google Scholar