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Orientation selectivity properties for the affine Gaussian derivative and the affine Gabor models for visual receptive fields
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Computational Science and Technology (CST). (Computational Brain Science Lab)ORCID iD: 0000-0002-9081-2170
2025 (English)In: Journal of Computational Neuroscience, ISSN 0929-5313, E-ISSN 1573-6873, Vol. 53, no 1, p. 61-98Article in journal (Refereed) Published
Abstract [en]

 This paper presents an in-depth theoretical analysis of the orientation selectivity properties of simple cells and complex cells, that can be well modelled by the generalized Gaussian derivative model for visual receptive fields, with the purely spatial component of the receptive fields determined by oriented affine Gaussian derivatives for different orders of spatial differentiation.

A detailed mathematical analysis is presented for the three different cases of either: (i) purely spatial receptive fields, (ii) space-time separable spatio-temporal receptive fields and (iii) velocity-adapted spatio-temporal receptive fields. Closed-form theoretical expressions for the orientation selectivity curves for idealized models of simple and complex cells are derived for all these main cases, and it is shown that the orientation selectivity of the receptive fields becomes more narrow, as a scale parameter ratio κ, defined as the ratio between the scale parameters in the directions perpendicular to vs. parallel with the preferred orientation of the receptive field, increases. It is also shown that the orientation selectivity becomes more narrow with increasing order of spatial differentiation in the underlying affine Gaussian derivative operators over the spatial domain.

A corresponding theoretical orientation selectivity analysis is also presented for purely spatial receptive fields according to an affine Gabor model, showing that: (i) the orientation selectivity becomes more narrow when making the receptive fields wider in the direction perpendicular to the preferred orientation of the receptive field; while (ii) an additional degree of freedom in the affine Gabor model does, however, also strongly affect the orientation selectivity properties.

Place, publisher, year, edition, pages
Springer Nature , 2025. Vol. 53, no 1, p. 61-98
Keywords [en]
Receptive field, Orientation selectivity, Affine covariance, Simple cell, Complex cell, Vision
National Category
Bioinformatics (Computational Biology)
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-359222DOI: 10.1007/s10827-024-00888-wISI: 001408524100001PubMedID: 39878929Scopus ID: 2-s2.0-85217424045OAI: oai:DiVA.org:kth-359222DiVA, id: diva2:1932421
Projects
Covariant and invariant deep networks
Funder
Swedish Research Council, 2022-02969
Note

QC 20250318

Available from: 2025-01-29 Created: 2025-01-29 Last updated: 2025-03-18

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Lindeberg, Tony

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