Perus, Mitja and Bischof, Horst and Loo, Chu Kiong (2005) Bio-computational model of object-recognition: quantum Hebbian processing with neurally shaped Gabor wavelets. Biosystems, 82 (2). pp. 116-126. ISSN 0303-2647, DOI https://doi.org/10.1016/j.biosystems.2005.06.004.
Full text not available from this repository.Abstract
Theoretical and simulational evidence, as well as experimental indications, are accumulating that quantum associative memory and imaging are possible. We compare these data with biological evidence, since we find them to a significant extent compatible. This paper presents a computationally implementable integrative model of appearance-based viewpoint-invariant recognition of objects. The neuro-quantum hybrid model incorporates neural processing up to V1 and quantum associative processing in V1, achieving together an object-recognition result in V2 and ITC. Results of our simulation of the central quantum-like parts of the bio-model, receiving neurally pre-processed inputs, are presented. This part contains our original simulated storage by multiple quantum interference of image-encoding Gabor wavelets done in a Hebbian way, especially using the Griniasty et al. pose-sequence learning rule.
| Item Type: | Article |
|---|---|
| Funders: | UNSPECIFIED |
| Uncontrolled Keywords: | Vision; Object-recognition; Quantum; Gabor wavelets; Griniasty; Temporal sequences; Holography; ICA |
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Faculty of Computer Science & Information Technology > Department of Artificial Intelligence |
| Depositing User: | Miss Nur Jannatul Adnin Ahmad Shafawi |
| Date Deposited: | 21 Mar 2013 01:53 |
| Last Modified: | 17 Dec 2020 00:51 |
| URI: | http://eprints.um.edu.my/id/eprint/5185 |
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