Literature DB >> 33521348

Normative theory of visual receptive fields.

Tony Lindeberg1.   

Abstract

This article gives an overview of a normative theory of visual receptive fields. We describe how idealized functional models of early spatial, spatio-chromatic and spatio-temporal receptive fields can be derived in a principled way, based on a set of axioms that reflect structural properties of the environment in combination with assumptions about the internal structure of a vision system to guarantee consistent handling of image representations over multiple spatial and temporal scales. Interestingly, this theory leads to predictions about visual receptive field shapes with qualitatively very good similarities to biological receptive fields measured in the retina, the LGN and the primary visual cortex (V1) of mammals.
© 2021 The Author(s).

Entities:  

Keywords:  Affine covariance; Double-opponent cell; Functional model; Galilean covariance; Gaussian derivative; Illumination invariance; LGN; Primary visual cortex; Receptive field; Retina; Scale covariance; Simple cell; Temporal causality; Vision

Year:  2021        PMID: 33521348      PMCID: PMC7820928          DOI: 10.1016/j.heliyon.2021.e05897

Source DB:  PubMed          Journal:  Heliyon        ISSN: 2405-8440


  4 in total

1.  Bio-inspired contour extraction via EM-driven deformable and rotatable directivity-probing mask.

Authors:  Jung-Hua Wang; Ren-Jie Huang; Ting-Yuan Wang
Journal:  Sci Rep       Date:  2022-07-19       Impact factor: 4.996

2.  Directional Preference in Avian Midbrain Saliency Computing Nucleus Reflects a Well-Designed Receptive Field Structure.

Authors:  Jiangtao Wang; Longlong Qian; Songwei Wang; Li Shi; Zhizhong Wang
Journal:  Animals (Basel)       Date:  2022-04-28       Impact factor: 3.231

3.  Maximal Dependence Capturing as a Principle of Sensory Processing.

Authors:  Rishabh Raj; Dar Dahlen; Kyle Duyck; C Ron Yu
Journal:  Front Comput Neurosci       Date:  2022-03-25       Impact factor: 2.380

4.  Reconstructing Group Wavelet Transform From Feature Maps With a Reproducing Kernel Iteration.

Authors:  Davide Barbieri
Journal:  Front Comput Neurosci       Date:  2022-03-15       Impact factor: 2.380

  4 in total

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