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An evaluation of the two-dimensional Gabor filter model of simple receptive fields in cat striate cortex
Abstract
1. Using the two-dimensional (2D) spatial and spectral response profiles described in the previous two reports, we test Daugman's generalization of Marcelja's hypothesis that simple receptive fields belong to a class of linear spatial filters analogous to those described by Gabor and referred to here as 2D Gabor filters. 2. In the space domain, we found 2D Gabor filters that fit the 2D spatial response profile of each simple cell in the least-squared error sense (with a simplex algorithm), and we show that the residual error is devoid of spatial structure and statistically indistinguishable from random error. 3. Although a rigorous statistical approach was not possible with our spectral data, we also found a Gabor function that fit the 2D spectral response profile of each simple cell and observed that the residual errors are everywhere small and unstructured. 4. As an assay of spatial linearity in two dimensions, on which the applicability of Gabor theory is dependent, we compare the filter parameters estimated from the independent 2D spatial and spectral measurements described above. Estimates of most parameters from the two domains are highly correlated, indicating that assumptions about spatial linearity are valid. 5. Finally, we show that the functional form of the 2D Gabor filter provides a concise mathematical expression, which incorporates the important spatial characteristics of simple receptive fields demonstrated in the previous two reports. Prominent here are 1) Ca…
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“There is some evidence that certain cells in the mammalian visual cortex (responsible for the perception of texture) can be approximated by such filters [40]”
From A Survey of Underwater Acoustic Data Classification Methods Using Deep Learning for Shoreline Surveillance (2022) · cites this paper as [40]
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Cites
A Simplex Method for Function Minimization
Nelder, J. A., & Mead, R. (1965) · The Computer Journal · doi:10.1093/comjnl/7.4.308 · Cited by 28,905
Receptive fields, binocular interaction and functional architecture in the cat’s visual cortex
Hubel, D. H., & Wiesel, T. N. (1962) · The Journal of Physiology · doi:10.1113/jphysiol.1962.sp006837 · Cited by 13,680
Statistical Methods for Research Workers
Fisher, R. A. (1945) · American Journal of Clinical Pathology · doi:10.1093/ajcp/15.11.552b · Cited by 10,883
Marr, D., & Hildreth, E. (1980) · Proceedings of the Royal Society of London. Series B. Biological Sciences · doi:10.1098/rspb.1980.0020 · Cited by 6,510
Габор, Д. (1946) · Journal of the IEE · Cited by 5,036
Mathematical description of the responses of simple cortical cells*
Marĉelja, S. (1980) · Journal of the Optical Society of America · doi:10.1364/josa.70.001297 · Cited by 1,253
RECEPTIVE FIELDS OF CELLS IN STRIATE CORTEX OF VERY YOUNG, VISUALLY INEXPERIENCED KITTENS
Hubel, D. H., & Wiesel, T. N. (1963) · Journal of Neurophysiology · doi:10.1152/jn.1963.26.6.994 · Cited by 1,113
Introduction to the Theory of Statistics, 3rd ed.
Kass, G. V., Mood, A. M., Graybill, F. A., & Boes, D. C. (1974) · Journal of the American Statistical Association · doi:10.2307/2286195 · Cited by 975
The two-dimensional spectral structure of simple receptive fields in cat striate cortex
Jones, J. P., Stepnoski, A., & Palmer, L. A. (1987) · Journal of Neurophysiology · doi:10.1152/jn.1987.58.6.1212 · Cited by 735
Self-citationThe visual cortex as a spatial frequency analyser
Maffei, L., & Fiorentini, A. (1973) · Vision Research · doi:10.1016/0042-6989(73)90201-0 · Cited by 627
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On the neurophysiological organization of binocular vision
Freeman, R. D., & Ohzawa, I. (1990) · Vision Research · doi:10.1016/0042-6989(90)90151-a · Cited by 164
A refined gamma MAP SAR speckle filter with improved geometrical adaptivity
Baraldi, A., & Parmiggiani, F. (1995) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/36.469489 · Cited by 156
Toward human activity recognition: a survey
Saleem, G., Bajwa, U. I., & Raza, R. H. (2022) · Neural Computing and Applications · doi:10.1007/s00521-022-07937-4 · Cited by 161
“contour of actor is obtained to generate spatiotemporal volume to obtain outer boundary information through 3D Gabor filters [165].”
BackgroundThe strong gravitational lens finding challenge
Metcalf, R. B., Meneghetti, M., Avestruz, C., Bellagamba, F., Bom, C. R., Bertin, E., Cabanac, R., Courbin, F., Davies, A., Decencière, E., et al. (2019) · Astronomy & Astrophysics · doi:10.1051/0004-6361/201832797 · Cited by 152
“Such a kernel is a popular image processing choice for edge detection and texture classification (e.g., Petkov & Kruizinga 1997; Feichtinger & Strohmer 1998) and is thought to mimic some image processing functions of the mammalian brain (Jones & Palmer 1987).”
BackgroundSuarez, H., Christof Koch, A., & Douglas, R. J. (1995) · Journal of Neuroscience · doi:10.1523/jneurosci.15-10-06700.1995 · Cited by 154
“…selectivity (Mastronarde, 1987; Saul and Humphrey, 1990, 1992b; Emerson et al., 1992), orientation, color or disparity selectivity, end-stopping, ON as well as OFF input, and Cartesian nonseparability of simple receptive fields (Jones and Palmer, 1987a,b; Reid et al., 1991; McLean et al., 1994).”
BackgroundPortrait drawing by Paul the robot
Tresset, P. A., & Leymarie, F. (2013) · Computers & graphics · doi:10.1016/j.cag.2013.01.012 · Cited by 176
“retr Biology: Gabor kernels are commonly used to model image edge responses in the primary visual cortex, in humans and other mammals, to variations in frequency and orientation [43,44].”
BackgroundEntropy reduction and decorrelation in visual coding by oriented neural receptive fields
Daugman, J. G. (1989) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.16456 · Cited by 152
Analysis of asymmetry in mammograms via directional filtering with Gabor wavelets
Ferrari, R. J., Rangayyan, R. M., Desautels, J. E. L., & Frere, A. F. (2001) · IEEE Transactions on Medical Imaging · doi:10.1109/42.952732 · Cited by 151
“Marcelja [2] and Jones and Palmer [3] demonstrated that simple cells in the primary visual cortex have receptive fields that are restricted to”
BackgroundInfluentialThe Bochum/USC Face Recognition System and How it Fared in the FERET Phase III Test
Okada, K., Steffens, J., Maurer, T., Hong, H., Elagin, E., Neven, H., & von der Malsburg, C. (1998) · Springer eBooks · doi:10.1007/978-3-642-72201-1_10 · Cited by 152
“Our extensive usage of Gabor-type wavelets is the most obvious point of similarity to the visual system of higher vertebrates [Jones and Palmer, 1987].”
BackgroundLi, K., Jin, Y., Akram, M. W., Han, R., & Chen, J. (2019) · The Visual Computer · doi:10.1007/s00371-019-01627-4 · Cited by 160
Chirimuuta, M. (2013) · Synthese · doi:10.1007/s11229-013-0369-y · Cited by 157
“Equation 2 gives the real (observable) part of a generalized 2D Gabor filter (Jones and Palmer 1987, p. 1236). a2 and b2 are variance in the x and y direction, respectively. x, y, U0 and V0 are spatial coordinates, K is a scale factor, and P can be interpreted as the relative spatial phase angle of…”
BackgroundDurand, S., Iyer, R., Mizuseki, K., de Vries, S. E. J., Mihalaş, Ş., & Reid, R. C. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.1741-16.2016 · Cited by 146
“A spike thresholding or “iceberg effect,” provoked by elevated inhibition, could account for these results (Jones and Palmer, 1987; Gardner et al., 1999).”
ResultYang, M., Lei Zhang, A., Shiu, S., & Zhang, D. D. (2012) · Pattern Recognition · doi:10.1016/j.patcog.2012.06.022 · Cited by 145
“Email: cslzhang@comp.polyu.edu.hk.”
Self-Organized Formation of Various Invariant-Feature Filters in the Adaptive-Subspace SOM
Kohonen, T., Samuel Kaski, A., & Lappalainen, H. (1997) · Neural Computation · doi:10.1162/neco.1997.9.6.1321 · Cited by 145
“The receptive fields of the simple cells in the mammalian primary visual cortex have been hypothesized to be describable by Gabor-type functions (Daugman, 1980, 1985; Marcelja, 1980; Jones & Palmer, 1987 ), and the ASSOM process also produces Gabortype filters in the first-layer neurons.”
MethodA perceptual metric for stereoscopic image quality assessment based on the binocular energy
Bensalma, R., & Larabi, M. (2012) · Multidimensional Systems and Signal Processing · doi:10.1007/s11045-012-0178-3 · Cited by 141
Structural Texture Similarity Metrics for Image Analysis and Retrieval
Zujovic, J., Pappas, T. N., & Neuhoff, D. L. (2013) · IEEE Transactions on Image Processing · doi:10.1109/tip.2013.2251645 · Cited by 142
“One example of such decompositions are Gabor filters [40], [41].”
BackgroundA Gabor feature classifier for face recognition
Liu, C., & Wechsler, H. (2002) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2001.937635 · Cited by 142
Mapping receptive fields in primary visual cortex
Ringach, D. L. (2004) · The Journal of Physiology · doi:10.1113/jphysiol.2004.065771 · Cited by 148
“Figure 2D shows that the distribution of these shapes in monkey (open circles) and cat (crosses; data from Jones & Palmer, 1987a).”
BackgroundMethodA neural-AdaBoost based facial expression recognition system
Owusu, E., Zhan, Y., & Mao, Q. R. (2013) · Expert Systems with Applications · doi:10.1016/j.eswa.2013.11.041 · Cited by 140
“The Gabor filter is a superior model of simple cell receptive fields in cat striate cortex (Jones & Palmer, 1987), and it grants exceptional basis for object recognition and face recognition (Lades et al., 1993; Wiskott, Fellous, Kruger, & vonderMalsburg, 1997).”
BackgroundNishimoto, S., & Gallant, J. L. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.6801-10.2011 · Cited by 140
“The simplest plausible model consists of two stages: a spatiotemporal Gabor filter that represents a pool of area V1 simple and complex neurons (Adelson and Bergen, 1985; Jones and Palmer, 1987), and a linear pooling mechanism that selectively integrates information from a specific subset of putative V1 inputs.”
Direct computation of shape cues using scale-adapted spatial derivative operators
Gårding, J., & Tony Lindeberg, C. (1996) · International Journal of Computer Vision · doi:10.1007/bf00058750 · Cited by 138
“Interestingly, the theoretical scale-space approach and the more empirical receptive field approach are to a certain extent in agreement; simple receptive fields in the mammalian retina and primary visual cortex are well described by Gaussian derivatives (Young, 1985, 1987; Jones and Palmer, 1987a, 1987b ) but also by…”
BackgroundUsing transfer learning to detect galaxy mergers
Ackermann, S., Schawinski, K., Zhang, C., Weigel, A. K., & Turp, M. D. (2018) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/sty1398 · Cited by 137
“There are some surprising parallels between the visual cortex and convolutional neural networks trained on natural images, like e.g. the emergence of Gabor-like filters in the first layer of processing (Marĉelja 1980; Daugman 1985; Jones & Palmer 1987; Krizhevsky et al. 2017; Cichy et al. 2016).”
BackgroundSchofield, A. J., & Georgeson, M. A. (1999) · Vision Research · doi:10.1016/s0042-6989(98)00284-3 · Cited by 137
Suppression outside the classical cortical receptive field
WALKER, G. A., Ohzawa, I., & Freeman, R. D. (2000) · Visual Neuroscience · doi:10.1017/s0952523800173055 · Cited by 136
“In recent years, the reverse correlation method has been applied to studies of the visual cortex, yielding detailed maps of the CRFs ( Jones & Palmer, 1987a, b; DeAngelis et al., 1993, 1995a; Alonso et al., 1996; Ohzawa et al., 1996).”
BackgroundMethodResultInfluentialQuantifying camouflage: how to predict detectability from appearance
Troscianko, J. T., Skelhorn, J., & Stevens, M. (2017) · BMC Evolutionary Biology · doi:10.1186/s12862-016-0854-2 · Cited by 137
Spectral Receptive Field Properties Explain Shape Selectivity in Area V4
David, S. V., Hayden, B. Y., & Gallant, J. L. (2006) · Journal of Neurophysiology · doi:10.1152/jn.00575.2006 · Cited by 133
Topology of ON and OFF inputs in visual cortex enables an invariant columnar architecture
Lee, K.-S., Huang, X., & Fitzpatrick, D. (2016) · Nature · doi:10.1038/nature17941 · Cited by 125
“To estimate the predicted feature selectivity from the ARF, the ARF was fitted and parameterized with a two-dimensional Gabor function using the Levenberg–Marquardt algorithm 37 .”
Smyth, D., Willmore, B. D. B., Baker, G. E., Thompson, I. D., & Tolhurst, D. J. (2003) · Journal of Neuroscience · doi:10.1523/jneurosci.23-11-04746.2003 · Cited by 133
“Some previous studies have compared the tuning of spatial receptive fields with that derived from sinusoidal gratings by fitting Gabor functions to the RF structure (Jones and Palmer, 1987a; Ringach, 2002).”
BackgroundMethodInfluentialFrom handcrafted to learned representations for human action recognition: A survey
Zhu, F., Shao, L., Xie, J., & Fang, Y. (2016) · Image and Vision Computing · doi:10.1016/j.imavis.2016.06.007 · Cited by 134
An Overview of Contour Detection Approaches
Gong, X., Su, H., Xu, D., Zhang, Z.-T., Shen, F., & Yang, H.-B. (2018) · Machine Intelligence Research · doi:10.1007/s11633-018-1117-z · Cited by 143
“Daugman et al.[20, 21] describe the response of stimuli in the CRF of simple cells which uses two-dimensional (2D) Gabor filters.”
MethodSimulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image PerturbationsPreprint
Dapello, J., Marques, T., Schrimpf, M., Geiger, F., Cox, D., & DiCarlo, J. J. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.06.16.154542 · Cited by 150
“Early approaches consisting of hand-designed Gabor filters were successful in predicting V1 simple cell [46] and complex cell [47] responses to relatively simple stimuli.”
MethodChen, S., Cerda, F., Rizzo, P., Bielak, J., Garrett, J. H., & Kovačević, J. (2014) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2014.2313528 · Cited by 127
Signals in Macaque Striate Cortical Neurons that Support the Perception of Glass Patterns
Smith, M. A., Bair, W., & Movshon, J. A. (2002) · Journal of Neuroscience · doi:10.1523/jneurosci.22-18-08334.2002 · Cited by 129
“We chose the parameters to match the shape, orientation, and spatial frequency selectivity of typical simple cells in monkey or cat V1 (DeValois et al., 1982, 1985; Foster et al., 1985; Jones and Palmer, 1987).”
Invariant Visual Responses From Attentional Gain Fields
Salinas, E., & Abbott, L. F. (1997) · Journal of Neurophysiology · doi:10.1152/jn.1997.77.6.3267 · Cited by 129
“The linear filters are similar to Gabor functions (Field and Tolhurst Figure 1 shows the results when the letter R was used as 1986; Jones and Palmer 1987) except that, for reasons of computa-the training image.”
MethodJian, M., & Lam, K. (2015) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2015.2400772 · Cited by 128
“for super-resolved LR images, first using the SVD-based SR algorithm [36], then using eigenfaces, the local binary pattern (LBP) [44], [45] feature, and the Gabor [46], [47] for face recognition.”
MethodInfluentialDobbins, A. C., Zucker, S. W., & Cynader, M. S. (1989) · Vision Research · doi:10.1016/0042-6989(89)90193-4 · Cited by 128
Acetylcholine Dynamically Controls Spatial Integration in Marmoset Primary Visual Cortex
Roberts, M. J., Zinke, W., Guo, K., Robertson, R., McDonald, J. S., & Thiele, A. (2004) · Journal of Neurophysiology · doi:10.1152/jn.00911.2004 · Cited by 127
“The CRF can be well modeled with a Gaussian envelope (Jones and Palmer 1987).”
BackgroundMethodA System for the Detection of Pigment Network in Dermoscopy Images Using Directional Filters
Barata, C., Marques, J. S., & Rozeira, J. (2012) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2012.2209423 · Cited by 126
“These filters are based both on 2-D Gabor filters [26], which simulate the behavior of the simple cells of receptive fields (cells which respond to a line or edge of a certain orientation—directional cells) [27], and on the principle of matched filtering which determines that, in order to detect the presence of a know…”
BackgroundReceptive fields and functional architecture in the retina
Balasubramanian, V., & Sterling, P. (2009) · The Journal of Physiology · doi:10.1113/jphysiol.2009.170704 · Cited by 126
“…cell receptive field is nearly perfectly described as a Gabor filter – which efficiently balances representation of both space and spatial frequency (Jones & Palmer, 1987); and the ‘efficient coding hypothesis’ applied to the statistics of natural images predicts oriented receptive fields…”
BackgroundMcLean, J., Raab, S., & Palmer, L. A. (1994) · Visual Neuroscience · doi:10.1017/s0952523800001632 · Cited by 125
Self-citationSerre, T., & Riesenhuber, M. (2004) · Defense Technical Information Center (DTIC) · doi:10.21236/ada459692 · Cited by 126
“Gabor functions have been shown to be solutions of an optimization problem that is minimizing simultaneously uncertainty in both position and spatial frequency [23] and to fit well with physiological data recorded from cat striate cortex [24].”
BackgroundBrown, R. A., Ƶlatescu, M. C., Sijben, A. E. J., Roldán, G. B., Easaw, J., Forsyth, P. A., Parney, I. F., Sevick, R. J., Yan, E., Demetrick, D. J., et al. (2008) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-07-1964 · Cited by 123
Origin of orientation-selective EPSPs in simple cells of cat visual cortex
Ferster, D. (1987) · Journal of Neuroscience · doi:10.1523/jneurosci.07-06-01780.1987 · Cited by 122
“In choosing these lengths, I have relied on the quantitative data of Jones and Palmer (1987a).”
BackgroundMethodModel‐based analysis of excitatory lateral connections in the visual cortex
Buzás, P., Kovács, K., Ferecskó, A. S., Budd, J. M. L., Eysel, U. T., & Kisvárday, Z. F. (2006) · The Journal of Comparative Neurology · doi:10.1002/cne.21134 · Cited by 121
“First, it is known that the spatial envelope of visual cortical RFs can be well characterized by 2D Gaussian functions (Jones and Palmer, 1987).”
BackgroundNeuromorphic implementation of orientation hypercolumns
Choi, T. Y. W., Merolla, P. A., Arthur, J. V., Boahen, K. A., & Shi, B. E. (2005) · IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications · doi:10.1109/tcsi.2005.849136 · Cited by 119
“The receptive field profile (1) has the same form as the Gabor functions commonly used to model orientation selective cortical neurons [28], [ 29 ], except that the modulating function is not Gaussian.”
MethodDetermination of face position and pose with a learned representation based on labelled graphs
Krüger, N., Pötzsch, M., & von der Malsburg, C. (1997) · Image and Vision Computing · doi:10.1016/s0262-8856(97)00012-7 · Cited by 119
A Gabor Feature-Based Quality Assessment Model for the Screen Content Images
Ni, Z., Zeng, H., Ma, L., Hou, J., Chen, J., & Ma, K.-K. (2018) · IEEE Transactions on Image Processing · doi:10.1109/tip.2018.2839890 · Cited by 118
“According to the psychophysical and physiological experimental findings, the profiles of the receptive fields of the simple cells resided in the primary visual cortex of the mammal closely resemble the shapes of the frequency response of the Gabor filter [27], [28].”
BackgroundYoshida, T., & Ohki, K. (2020) · Nature Communications · doi:10.1038/s41467-020-14645-x · Cited by 122
A computational theory of visual receptive fields
Lindeberg, T. (2013) · Biological Cybernetics · doi:10.1007/s00422-013-0569-z · Cited by 120
“have been frequently used for modelling spatial receptive fields (Jones and Palmer 1987a,b; Ringach 2002) motivated by their property of minimizing the uncertainty relation. This motivation can, however, be questioned on both theoretical and empirical grounds. Stork and Wilson (1990) argue that (i) only complex-valued…”
BackgroundMethodOrganization of face and object recognition in modular neural network models
Dailey, M. N., & Cottrell, G. W. (1999) · Neural Networks · doi:10.1016/s0893-6080(99)00050-7 · Cited by 119
“The filter is biologically motivated—it is a good model of observed receptive fields of simple cells in cat striate cortex ( Jones & Palmer, 1987 ).”
BackgroundSpatial summation properties of directionally selective mechanisms in human vision
Anderson, S. J., & Burr, D. C. (1991) · Journal of the Optical Society of America A · doi:10.1364/josaa.8.001330 · Cited by 117
Shao, F., Li, K., Lin, W., Jiang, G., Yu, M., & Dai, Q. (2015) · IEEE Transactions on Image Processing · doi:10.1109/tip.2015.2436332 · Cited by 116
“In the V1, each eye's RF (simple cell) can be modeled using Gabor filter expressed as [56] G L ,R ( x, y; f, θ) = f 2 πγ η exp − f 2 γ 2 x 2 + f 2 η 2 y 2 + j 2π f x x = x cos θ + y sin θ y = −x sin θ + y cos θ (1) Here, f and θ are the RF's frequency and orientation, r and η and its bandwidth, and…”
Emergence of invariant-feature detectors in the adaptive-subspace self-organizing map
Kohonen, T. (1996) · Biological Cybernetics · doi:10.1007/s004220050295 · Cited by 115
“In a series of interesting studies, Daugman (1980, 1985), Marcelja (1980), and Jones and Palmer (1987) advanced the hypothesis that the receptive fields of the simple cells in the mammalian visual cortex are describable by Gabor-type functions.”
BackgroundVisual recognition of continuous hand postures
Nölker, C., & Ritter, H. J. (2002) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2002.1021898 · Cited by 115
“[17] J. P. Jones and L. A. Palmer, “An evaluation of the two-dimensional Gabor filter model of simple receptive fields in cat striate cortex,”J. Neurophysiol., vol. 58, no. 6, pp. 1233–1258, Dec. 1987.”
MethodInfluentialLinear and nonlinear contributions to orientation tuning of simple cells in the cat's striate cortex
Gardner, J. L., Anzai, A., Ohzawa, I., & Freeman, R. D. (1999) · Visual Neuroscience · doi:10.1017/s0952523899166112 · Cited by 115
“Our distribution of subregion aspect ratios is consistent with other extracellular mea- surements (Jones & Palmer, 1987a) but has a larger mean (4.3vs. 1.7) than aspect ratios measured intracellularly (Pei et al., 1994).”
ResultInfluentialGabor Analysis of Auditory Midbrain Receptive Fields: Spectro-Temporal and Binaural Composition
Qiu, A., Schreiner, C. E., & Escabı́, M. A. (2003) · Journal of Neurophysiology · doi:10.1152/jn.00851.2002 · Cited by 115
“Visual neurophysiologists have used Gabor and Gamma functions as quantitative descriptors of visual STRFs (Cai et al. 1997; DeAngelis et al. 1993a, 1999; Jones and Palmer 1987a,b).”
MethodInfluentialFace Detection Using Convolutional Neural Networks and Gabor Filters
Kwolek, B. (2005) · Lecture notes in computer science · doi:10.1007/11550822_86 · Cited by 114
“The choice of Gabor filter responses is biologically motivated since they model the response of human visual cortical cells [ 3 ].”
BackgroundShape from texture for smooth curved surfaces in perspective projection
Gårding, J. (1992) · Journal of Mathematical Imaging and Vision · doi:10.1007/bf00121877 · Cited by 114
Laminar processing of stimulus orientation in cat visual cortex
Martı́nez, L. M., Alonso, J., Reid, R. C., & Hirsch, J. A. (2002) · The Journal of Physiology · doi:10.1113/jphysiol.2001.012776 · Cited by 114
“These observations are predicted by thalamocortical models (Hubel & Wiesel, 1962; Palmer & Davis, 1981; Ferster, 1986, 1988; Jones & Palmer, 1987a,b; Chung & Ferster, 1998; Troyer et al. 1998).”
BackgroundMethodInfluentialAzzopardi, G., & Petkov, N. (2012) · Biological Cybernetics · doi:10.1007/s00422-012-0486-6 · Cited by 113
“Reverse correlation (de Boer and Kuyper 1968; Jones and Palmer 1987; Ringach and Shapley 2004) is an electrophysiological technique in which a randomly generated binary”
BackgroundMethodInfluentialSajjad, M., Nasir, M., Ullah, F. U. M., Muhammad, K., Sangaiah, A. K., & Baik, S. W. (2018) · Information Sciences · doi:10.1016/j.ins.2018.07.027 · Cited by 113
Memari, N., Ramli, A. R., Saripan, M. I., Mashohor, S., & Moghbel, M. (2018) · Journal of Medical and Biological Engineering · doi:10.1007/s40846-018-0454-2 · Cited by 111
Wavelets, vision and the statistics of natural scenes
Field, D. J. (1999) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.1999.0446 · Cited by 114
“Early tests of this notion showed that such functions did indeed provide an excellent fit to the receptive fields of cortical neurons (Webster & DeValois 1985; Field & Tolhurst 1986; Jones & Palmer 1987).”
BackgroundMethodFace Image Analysis by Unsupervised Learning
Bartlett, M. S. (2001) · Springer eBooks · doi:10.1007/978-1-4615-1637-8 · Cited by 111
“Such filters remove most of the variability in images due to variation in lighting and contrast, and closely model the response properties of visual cortical cells (Pollen and Ronner, 1981; Jones and Palmer, 1987; DeValois and DeValois, 1988; Daugman, 1988).”
BackgroundMonocular camera-based face liveness detection by combining eyeblink and scene context
Pan, G., Sun, L. J., Wu, Z., & Wang, Y. (2010) · Telecommunication Systems · doi:10.1007/s11235-010-9313-3 · Cited by 110
“To make a comparison with other local descriptors, we implement two frequently used descriptors: Gabor feature [28] and SIFT feature [24].”
MethodDiscrimination of changes in the second-order statistics of natural and synthetic images
Tadmor, Y., & Tolhurst, D. J. (1994) · Vision Research · doi:10.1016/0042-6989(94)90167-8 · Cited by 110
Quadrature and the development of orientation selective cortical cells by Hebb rules
Yuille, A., Kammen, D. M., & Cohen, D. S. (1989) · Biological Cybernetics · doi:10.1007/bf00198765 · Cited by 110
Spatial heterogeneity of inhibitory surrounds in the middle temporal visual area.
Xiao, D. K., Raiguel, S. E., Marcar, V. L., Koenderink, J. J., & Orban, G. A. (1995) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.92.24.11303 · Cited by 108
Neural Representation of Natural Images in Visual Area V2
Willmore, B. D. B., Prenger, R., & Gallant, J. L. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.4099-09.2010 · Cited by 111
“The CRF was localized precisely by reverse correlation of responses to a dynamic sparse noise stimulus: black and white squares or bars positioned randomly on a gray background and randomly repositioned at 5–10 Hz (Jones and Palmer, 1987a; DeAngelis et al., 1993; Vinje and Gallant, 2002).”
MethodA REVIEW OF FACE RECOGNITION METHODS
Beham, M. P., & Roomi, S. M. M. (2013) · International Journal of Pattern Recognition and Artificial Intelligence · doi:10.1142/s0218001413560053 · Cited by 107
Zhang, X., Yang, Y., Han, Z., Wang, H., & Gao, C. (2013) · ACM Computing Surveys · doi:10.1145/2522968.2522978 · Cited by 117
“In addition, as they are shown to provide a good model of cortical simple cell receptive fields [Jones and Palmer 1987], Gabor filter banks are widely used in biologically motivated representations [Huang et al.”
BackgroundTemporal and Spatial Response to Second-Order Stimuli in Cat Area 18
Mareschal, I., & Baker, C. L. (1998) · Journal of Neurophysiology · doi:10.1152/jn.1998.80.6.2811 · Cited by 105
“Area 18 was chosen for its higher from the neuron's measured receptive field profile (Field proportion of envelope-responsive neurons (Zhou and Baker and Tolhurst 1986; Jones and Palmer 1987; Kulikowski et 1996).”
BackgroundLescroart, M. D., Stansbury, D. E., & Gallant, J. L. (2015) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2015.00135 · Cited by 107
“This is consistent with at least one study that showed parametrically increasing responses in FFA to scenes with increasingly nearby objects (Park et al., 2015).”
ResultInfluentialBiologically motivated computationally intensive approaches to image pattern recognition
Petkov, N. (1995) · Future Generation Computer Systems · doi:10.1016/0167-739x(95)00015-k · Cited by 104
Manifestation of scotomas created by transcranial magnetic stimulation of human visual cortex
Kamitani, Y., & Shinsuke Shimojo, A. (1999) · Nature Neuroscience · doi:10.1038/11245 · Cited by 104
“However, the receptive fields of most simple cells are elongated along, rather than perpendicular to, the preferred orientatio”
BackgroundZhang, Y., Moorthy, A. K., Chandler, D. M., & Bovik, A. C. (2014) · Signal Processing: Image Communication · doi:10.1016/j.image.2014.05.004 · Cited by 102
“In this section, we provide details of each of the steps.”
BackgroundA SVM face recognition method based on Gabor-featured key points
Qin, J., & He, Z. (2005) · International Conference on Machine Learning and Cybernetics · doi:10.1109/icmlc.2005.1527850 · Cited by 103
Automatic 3D face recognition from depth and intensity Gabor features
Xu, C., Li, S., Tan, T., & Quan, L. (2009) · Pattern Recognition · doi:10.1016/j.patcog.2009.01.001 · Cited by 101
An overview of edge and object contour detection
Yang, D., Peng, B., Al‐Huda, Z., Malik, A., & Zhai, D. (2022) · Neurocomputing · doi:10.1016/j.neucom.2022.02.079 · Cited by 110
Tolhurst, D. J., & Heeger, D. J. (1997) · Visual Neuroscience · doi:10.1017/s0952523800011433 · Cited by 99
Young, I. T., A, L. J. V. V., & Ginkel, M. V. (2002) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2002.804095 · Cited by 99
Jadhav, A. S., Patil, P. B., & Biradar, S. (2020) · Evolutionary Intelligence · doi:10.1007/s12065-020-00400-0 · Cited by 97
Classifying paintings by artistic genre: An analysis of features & classifiers
Zujovic, J., Gandy, L. M., Friedman, S., Pardo, B., & Pappas, T. N. (2009) · IEEE International Workshop on Multimedia Signal Processing (MMSP) · doi:10.1109/mmsp.2009.5293271 · Cited by 97
“Gabor filters are widely used as texture descriptors, since they are shown to exhibit properties of low-level processing in human eyes [17].”
BackgroundStimulus specificity of a steady-state visual-evoked potential-based brain–computer interface
Ng, K. B., Bradley, A. P., & Cunnington, R. (2012) · Journal of Neural Engineering · doi:10.1088/1741-2560/9/3/036008 · Cited by 96
“That is, the cells in visual cortex are like edge detectors and spatial-frequency filters which respond to lines and spatiotemporal patterns modelled using the Gabor filter (Daugman 1985, Jones and Palmer 1987).”
MethodSripati, A. P., Yoshioka, T., Denchev, P. V., Hsiao, S. S., & Johnson, K. O. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.3720-05.2006 · Cited by 96
Li, N., Cox, D., Zoccolan, D., & DiCarlo, J. J. (2009) · Journal of Neurophysiology · doi:10.1152/jn.90745.2008 · Cited by 93
“Linear classifiers were then used to assess the goodness of these populations in supporting positionand clutter invariant recognition.”
MethodFu, Y., Yang, G., Li, Z., Song, X., Li, Z., Xu, X., Wang, P., & Zhao, C. (2020) · Remote Sensing · doi:10.3390/rs12223778 · Cited by 94
“Two-dimension (2D) Gabor filters, which resemble a human visual system, have been prevalently used in image texture extraction [44].”
Domingos, L. C. F., Santos, P. E., Skelton, P. S. M., Brinkworth, R. S. A., & Sammut, K. (2022) · Sensors · doi:10.3390/s22062181 · Cited by 93
“There is some evidence that certain cells in the mammalian visual cortex (responsible for the perception of texture) can be approximated by such filters [40].”
BackgroundLinearity and Gain Control in V1 Simple Cells
Carandini, M., Heeger, D. J., & Movshon, J. A. (1999) · Cerebral cortex · doi:10.1007/978-1-4615-4903-1_7 · Cited by 94
“Many other studies have compared grating responses to impulse responses (DeAngelis et al., 1993b; Shapley et al., 1991; Tadmor and Tolhurst, 1989; Jones and Palmer, 1987a; Jones and Palmer, 1987b; Jones et al., 1987; Field and Tolhurst, 1986; Dean and Tolhurst, 1983; Kulikowski and Bishop, 1981b;…”
BackgroundWatt, J. M., Borhani, R., & Katsaggelos, A. K. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108690935 · Cited by 94
Learned local Gabor patterns for face representation and recognition
Xie, S., Shan, S., Chen, X., Meng, X., & Gao, W. (2009) · Signal Processing · doi:10.1016/j.sigpro.2009.02.016 · Cited by 90
“The 2D Gabor wavelets, whose kernels provide a useful and reasonably accurate description of most spatial aspects of simple receptive fields, exhibit desirable characteristics of spatial locality and orientation selectivity [5].”
BackgroundWatt, J. M., Borhani, R., & Katsaggelos, A. K. (2016) · Cambridge University Press eBooks · doi:10.1017/cbo9781316402276 · Cited by 96
Computer-based recognition of dysmorphic faces
Loos, H. S., Wieczorek, D., Würtz, R. P., von der Malsburg, C., & Horsthemke, B. (2003) · European Journal of Human Genetics · doi:10.1038/sj.ejhg.5200997 · Cited by 89
A model of proto-object based saliency
Russell, A. F., Mihalaş, Ş., von der Heydt, R., Niebur, E., & Etienne‐Cummings, R. (2013) · Vision Research · doi:10.1016/j.visres.2013.10.005 · Cited by 93
“The first stage of processing extracts object edges using 2D Gabor filters (Kulikowski, Marcelja, & Bishop, 1982), which approximate the receptive fields of simple cells in the primary visual cortex (Jones & Palmer, 1987; Marcelja, 1980 ).”
MethodDo Gabor functions provide appropriate descriptions of visual cortical receptive fields?
Stork, D. G., & Wilson, H. R. (1990) · Journal of the Optical Society of America A · doi:10.1364/josaa.7.001362 · Cited by 89
Structural sparseness and spatial phase alignment in natural scenes
Hansen, B. C., & Hess, R. F. (2007) · Journal of the Optical Society of America A · doi:10.1364/josaa.24.001873 · Cited by 88
Gao, D., & Vasconcelos, N. M. (2008) · Neural Computation · doi:10.1162/neco.2009.11-06-391 · Cited by 85
“Classical studies focused on stimuli incident on the cell’s receptive field, and simple cells were modeled as cascades of a linear filter and a rectifying nonlinearity (Movshon, Thompson, & Tolhurst, 1978; Jones & Palmer, 1987 ).”
BackgroundLaw, C.-T., & Cooper, L. N. (1994) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.91.16.7797 · Cited by 84
Koenderink, J. J. (1990) · Psychological Research · doi:10.1007/bf00877519 · Cited by 86
Lorenz, R., Monti, R. P., Violante, I. R., Anagnostopoulos, C., Faisal, A. A., Montana, G., & Leech, R. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.01.032 · Cited by 85
Metadata
- Authors
- Jones, J. P., & Palmer, L. A.
- Affiliations
- University of Pennsylvania (US)
- Venue
- Journal of Neurophysiology
- Publisher
- American Physiological Society
- Published
- 1987-12-01
- Volume
- 58
- Issue
- 6
- Pages
- 1233-1258
- ISSN
- 0022-3077 (ISSN-L)
- 1522-1598
- OpenAlex
- W1914401667
- Cited by
- 1,658
- References
- 22
- Citations by year
- 2026: 15 · 2025: 38 · 2024: 31 · 2023: 36 · 2022: 56 · 2021: 47 · 2020: 75 · 2019: 60 · 2018: 56 · 2017: 64 · 2016: 61 · 2015: 64 · 2014: 81 · 2013: 63 · 2012: 63
- FWCI
- 6.85
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Neurophysiology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Eye Institute (R01-EY-04638)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- simple cells, spatial linearity
- MeSH terms
- Animals, Cats, Mathematics, Models, Neurological, Visual Cortex, Visual Fields, Visual Perception
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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