Abstract:
:We propose a function-oriented model of the visual cortex. The model addresses an essential task of the visual system: to detect and represent objects. These are defined as sets, which reappear in the input with invariant inner relations. A network, incorporating an idealized description of anatomical and physiological data, is presented with a movie showing various moving objects. In the course of time, as a result of Hebbian plasticity, a connection scheme develops which embodies in its forward and lateral connections the information necessary to perform the operations involved in object recognition. We demonstrate that coherent neural activity can exploit this information. Two types of coherence have to be distinguished in this respect. Rate coherence performs invariance operations and association, while event coherence accomplishes segmentation tasks. The model reproduces and explains experimental findings made both in physiological recordings from the visual cortex and in psychophysical studies.
journal_name
Biol Cybernjournal_title
Biological cyberneticsauthors
Neven H,Aertsen Adoi
10.1007/BF02414887keywords:
subject
Has Abstractpub_date
1992-01-01 00:00:00pages
309-22issue
4eissn
0340-1200issn
1432-0770journal_volume
67pub_type
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