title: Bio-computational model of object-recognition: quantum Hebbian processing with neurally shaped Gabor wavelets.
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.
authors.affiliation: Institute for Computer Vision and Graphics, Graz University of Technology, Inffeldgasse 16/2, A-8010 Graz, Austria. perus@icg.tu-graz.ac.at
authors.forename: Mitja
authors.initials: M
authors.lastname: Perus
authors.forename: Horst
authors.initials: H
authors.lastname: Bischof
authors.forename: Chu Kiong
authors.initials: CK
authors.lastname: Loo
mesh_terms: D006801:Humans; D008568:Memory / Q000502:physiology*; D008959:Models, Neurological; D008960:Models, Psychological; D021641:Recognition, Psychology / Q000502:physiology*; D049490:Systems Biology; D014793:Visual Cortex / Q000502:physiology*; D014796:Visual Perception / Q000502:physiology*