A computational model of visual cortex receptive fields using spatio-temporal filters

• Type: Article in International Conference Proceedings Book
• Date: 2000

Authors

Mariofanna G. Milanova (Author) Other; Adel S. Elmaghrabg (Author) Other; Mark P. Wachowiak (Author) Other; Aurélio Campilho (Author) FEUP

Conference proceedings International

Title: 2000 IEEE EMBS INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY APPLICATIONS IN BIOMEDICINE, PROCEEDINGS

Pages: 129-134

Joint Meeting of the 3rd IEEE EMBS International Conference on Information Technology Applications in Biomedicine/3rd Workshop of the Int-Telemedical-Information-Society

ARLINGTON, VA, NOV 09-10, 2000

Indexing

ISI Web of Knowledge - 2 Citations

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Other information

Authenticus ID: P-001-2C0

DOI: 10.1109/ITAB.2000.892364

Abstract (EN): It is known that neurons in the primary visual cortex are characterized by receptive fields that are selective for speciftc spatial orientations. It is believed that the sense of object motion and velocity are also related to these fields, as objects in natural scenes are represented by a sparse set of statistically independent components, such as edges. Currently, computational models of receptive fields consider only spatial components, and thus cannot account for time-varying sensory stimuli. In this paper, a model based on independent components analysis and cellular neural networks is proposed. This approach extends existing models to incorporate temporal aspects of sequences of images of natural scenes.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6