Orientation selectivity properties for the affine Gaussian derivative and the affine Gabor models for visual receptive fields
arXiv:2304.11920 · doi:10.1007/s10827-024-00888-w
Abstract
This paper presents a theoretical analysis of the orientation selectivity of simple 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 , 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. For comparison, we also present a corresponding theoretical orientation selectivity analysis for purely spatial receptive fields according to an affine Gabor model. The results from that analysis are consistent with the results obtained from the affine Gaussian derivative model,in the respect that the orientation selectivity becomes more narrow when making the receptive fields wider in the direction perpendicular to the preferred orientation of the receptive field.
35 pages, 17 figures, 1 table. Note: From version 3 of this preprint, the previous manuscript in 2304.11920v2 has been split into two papers, with the part regarding biological interpretations and biological hypotheses moved to arXiv:2404.04858
References in corpus (8)
- Time-causal and time-recursive spatio-temporal receptive fields
- Normative theory of visual receptive fields
- Provably scale-covariant continuous hierarchical networks based on scale-normalized differential expressions coupled in cascade
- Dense scale selection over space, time and space-time
- A time-causal and time-recursive scale-covariant scale-space representation of temporal signals and past time
- Temporal scale selection in time-causal scale space
- A Differential Model of the Complex Cell
- Covariance properties under natural image transformations for the generalized Gaussian derivative model for visual receptive fields
Cited by in corpus (2)
- Relationships between the degrees of freedom in the affine Gaussian derivative model for visual receptive fields and 2-D affine image transformations, with application to covariance properties of simple cells in the primary visual cortex
- Do the receptive fields in the primary visual cortex span a variability over the degree of elongation of the receptive fields?