Complex-cell receptive field models
References (116)
- et al.
Spatial frequency selectivity of cells in macaque visual cortex
Vision Res.
(1982) - et al.
An investigation of spatial frequency characteristics of complex receptive fields in the visual cortex of the cat
Vision Res.
(1976) Visual detection of aperiodic spatial stimuli by probability summation among narrowband channels
Vision Res.
(1977)Receptive field classes of cells in the striate cortex of the cat
Brain Res.
(1977)- et al.
Silent periodic cells in the striate cortex
Vision Res.
(1982) Parallel visual pathways: a review
Vision Res.
(1980)- et al.
The visual cortex as a spatial frequency analyzer
Vision Res.
(1973) - et al.
Spatial frequency rows in the striate visual cortex
Vision Res.
(1977) - et al.
Visual receptive fields of single striate cortical units projecting to the superior colliculus in the cat
Brain Res.
(1974) - et al.
Spatial computation performed by simple and complex cells in the visual cortex of the cat
Vision Res.
(1982)
Spatial frequency selectivity of periodic complex cells in the visual cortex of the cat
Vision Res.
Use of Gabor elementary functions to probe receptive field substructure of posterior inferotemporal neurons in the owl monkey
Vision Res.
Mechanisms underlying the receptive field properties of neurons in cats visual cortex
Vision Res.
Further differences in receptive field properties of simple and complex cells in cat striate cortex
Vision Res.
Are bars or gratings the optimal stimuli?
Science
Relationship between spatial frequency selectivity and receptive field profile of simple cells
J. Physiol., Lond.
Spatial receptive field properties of direction-selective neurons in cat striate cortex
J. Neurophysiol.
Linear and non-linear components of human electroretinogram
J. Neurophysiol.
Functional organization of neurons in cat striate cortex: variations in ocular dominance and receptive field type with cortical lamina and location in visual field
J. Neurophysiol.
Striate neurons: receptive field concepts
Invest. Ophthalmol.
Responses to visual contours: spatial-temporal aspects of excitation in the receptive fields of simple striate neurons
J. Physiol., Lond.
Receptive fields of simple cells in the cat striate cortex
J. Physiol., Lond.
On the existence of neurons in the visual system selectively sensitive to the orientation and size of retinal images
J. Physiol., Lond.
Spatial phase dependence of orientation-selective inhibition in cat striate cortex
Invest. Ophthalmol. Vis. Sci.
The role of inhibition in the specification of orientation selectivity of cells in the cat striate cortex
Vis. Neurosci.
Neural paths taken by afferent streams in striate cortex of the cat
J. Neurophysiol.
Laminar distribution of first order neurons and afferent terminals in cat striate cortex
J. Neurophysiol.
Receptive-field transformations between LGN neurons and S-cells of cat striate cortex
J. Neurophysiol.
Application of Fourier analysis to the visibility of gratings
J. Physiol., Lond.
Visibility of aperiodic patterns compared with that of sinusoidal gratings
J. Physiol., Lond.
Spatial and temporal receptive-field analysis of the cat's geniculate pathway
Vision Res.
Recovery of function in cat visual cortex following prolonged deprivation
Expl Brain Res.
The relationship between response amplitude and contrast for cat striate cortical neurones
J. Physiol., Lond.
On the distinctness of simple and complex cells in the visual cortex of the cat
J. Physiol., Lond.
Spatial vision
A. rev. Psychol.
Responses of striate cortex cells to grating and checkerboard patterns
J. Physiol., Lond.
The contrast sensitivity of retinal ganglion cells of the cat
J. Physiol., Lond.
Segregation of X and Y afferents into areas 17 and 18 of cat visual cortex
Soc. Neurosci. Abstr.
Quantitative studies of single-cell properties in monkey striate cortex. IV. Corticotectal cells
J. Neurophysiol.
Laminar differences in receptive field properties of cells in cat primary visual cortex
J. Physiol., Lond.
Morphology and intracortical projections of functionally characterized neurons in the cat visual cortex
Nature, Lond.
Spatial and spatial frequency characteristics of receptive fields of visual cortex and piecewise Fourier analysis
Local spectral analysis in the visual cortex
Biol. Cybernetics
Linear and non-linear properties of simple and complex receptive fields in area 17 of the cat visual cortex
Biol. Cybernetics
Spatio-temporal organization of receptive fields of the cat striate cortex
Biol. Cybernetics
Direction selectivity of complex cells in comparison with simple cells
J. Neurophysiol.
Neuronal dynamics of perceptual grouping: textures, boundaries, and emergent segmentations
Perception Psychophys.
Differential responses of cat visual cortical cells to textured stimuli
Expl Brain Res.
Differential responsiveness of simple and complex cells in cat striate cortex to visual texture
Expl Brain Res.
On the sensitivity of complex cells in feline striate cortex to relative motion
Expl Brain Res.
Cited by (38)
Computational framework of the visual sensory system based on neuroscientific evidence of the ventral pathway
2023, Cognitive Systems ResearchCitation Excerpt :Another function attributed to the primary visual cortex (V1) is the enhancement of the spatial invariance of the edges detected by the simple cells; biologically this process is performed by the complex cells. The mathematical model used to mimic the behavior of complex cells is called the Gabor energy model, used and accepted in various works to represent the receptive field of complex cells (Adelson & Bergen, 1985; Field, 1987; Mallot, 2013; Pollen et al., 1988; Shams & von der Malsburg, 2002; Spitzer & Hochstein, 1988). The advantage of using complex cells in this model is the reduction of edge information with specific orientations, especially if the image generates a great deal of edge information in the simple V1 cells.
Automatic mapping of visual cortex receptive fields: A fast and precise algorithm
2014, Journal of Neuroscience MethodsCitation Excerpt :Ringach (2004) presented a description of nine methods that have been developed over the years to map receptive fields. In this review, Ringach (2004) presented fundamental and new theoretical concepts that accompany the following methods: (1) the linear-non-linear model and reverse correlation method (Rodieck and Stone, 1965a,b); (2) Gabor-like shapes and simple receptive fields (Movshon et al., 1978; Ringach, 2002); (3) non-linear outputs and their measurement (Chichilnisky, 2001); (4) spatio–temporal properties and direction selectivity (Adelson and Bergen, 1985; Reid et al., 1987; DeAngelis et al., 1995); (5) the gain control model (Albrecht and Geisler, 1991; Geisler and Albrecht, 1991; Robson, 1991; Heeger, 1992); (6) gain control and intracortical sharpening of tuning (DeAngelis et al., 1992); (7) the energy model and complex cells (Spitzer and Hochstein, 1985, 1988; Adelson and Bergen, 1985); (8) non-Gaussian models for estimating RF structures (De Ruyter van Steveninck and Bialek, 1988; Chechik et al., 2004); and (9) the hierarchical model and theories of cortical function (Maffei and Fiorentini, 1973; De Valois et al., 1979; Kulikowski and Bishop, 1981; Bell and Sejnowski, 1997; Simoncelli and Olshausen, 2001; Hurri and Hyvarinen, 2003). If one accepts the view that receptive field properties appear to lie on a continuum, it is sensible to seek theoretical models that explain the distribution of receptive field properties and their correlations across the entire population.
Selectivity and sparseness in the responses of striate complex cells
2005, Vision ResearchThe role of complex cells in object recognition
2002, Vision ResearchUnraveling Functional Diversity of Cortical Synaptic Architecture Through the Lens of Population Coding
2022, Frontiers in Synaptic Neuroscience