Cartesian and non-Cartesian responses in LGN, V1, and V2 cells

2001 ◽  
Vol 18 (6) ◽  
pp. 973-981 ◽  
Author(s):  
L.E. MAHON ◽  
R.L. DE VALOIS
Keyword(s):  
Receptive Field ◽  
Visual Processing ◽  
Receptive Fields ◽  
Emergent Property ◽  
Cell Responses ◽  
Low Aspect Ratio ◽  
Energy Models ◽  
Early Visual Processing ◽  
Relative Response ◽  
Classical Receptive Field

Cell responses to drifting Cartesian (parallel) and non-Cartesian (concentric, radial, and hyperbolic) stimuli were recorded in and beyond the classical receptive field (CRF) in the lateral geniculate nucleus (LGN), V1, and V2 of anesthetized monkeys. Many cells were equally responsive to Cartesian and non-Cartesian, especially concentric, gratings. Around 15% of cells in each area were significantly more responsive to concentric compared to parallel gratings; however, cells significantly more responsive to parallel compared to concentric gratings were more numerous in the cortex. While many cells responded to hyperbolic and radial gratings, few were most responsive to these gratings. Cell selectivity decreased for Cartesian and increased for non-Cartesian gratings from V1 to V2 and the relative response varied as a function of stimulus extent with respect to the CRF. Complex, nonoriented, nondirectional cells with a low aspect ratio (AR) responded best to non-Cartesian gratings. These results cannot be fully explained using Gabor linear/energy models of simple and complex receptive fields (RFs) although such models predict some cells to respond equally to Cartesian and non-Cartesian gratings. Cells significantly more responsive to non-Cartesian gratings can be accounted for by CRF selectivity influenced by modulation from the nonclassical receptive field (nCRF). The present study shows that Cartesian/non-Cartesian selectivity is not an emergent property of V4 cells but is present at all levels of early visual processing being subserved by a subset of cells with specific tuning properties.

Efficient coding correlates with spatial frequency tuning in a model of V1 receptive field organization

2009 ◽  
Vol 26 (1) ◽  
pp. 21-34 ◽  
Author(s):  
JAN WILTSCHUT ◽  
FRED H. HAMKER
Keyword(s):  
Experimental Data ◽  
Receptive Field ◽  
Visual Processing ◽  
Hebbian Learning ◽  
Frequency Tuning ◽  
Receptive Fields ◽  
Efficient Coding ◽  
Early Visual Processing ◽  
Field Organization ◽  
Receptive Field Organization

AbstractEfficient coding has been proposed to play an essential role in early visual processing. While several approaches used an objective function to optimize a particular aspect of efficient coding, such as the minimization of mutual information or the maximization of sparseness, we here explore how different estimates of efficient coding in a model with nonlinear dynamics and Hebbian learning determine the similarity of model receptive fields to V1 data with respect to spatial tuning. Our simulation results indicate that most measures of efficient coding correlate with the similarity of model receptive field data to V1 data, that is, optimizing the estimate of efficient coding increases the similarity of the model data to experimental data. However, the degree of the correlation varies with the different estimates of efficient coding, and in particular, the variance in the firing pattern of each cell does not predict a similarity of model and experimental data.

scholarly journals Directional selectivity and its use in early visual processing

1981 ◽  
Vol 211 (1183) ◽  
pp. 151-180 ◽  
Keyword(s):  
Visual Processing ◽  
Visual Motion ◽  
Time Derivative ◽  
Receptive Fields ◽  
Specific Model ◽  
Zero Crossings ◽  
Second Stage ◽  
Early Visual Processing ◽  
Local Direction ◽  
Zero Values

The construction of directionally selective units, and their use in the processing of visual motion, are considered. The zero crossings of ∇ 2 G(x, y) ∗ I(x, y) are located, as in Marr & Hildreth (1980). That is, the image is filtered through centre-surround receptive fields, and the zero values in the output are found. In addition, the time derivative ∂[∇ 2 G(x, y) ∗ l(x, y) ]/∂ t is measured at the zero crossings, and serves to constrain the local direction of motion to within 180°. The direction of motion can be determined in a second stage, for example by combining the local constraints. The second part of the paper suggests a specific model of the information processing by the X and Y cells of the retina and lateral geniculate nucleus, and certain classes of cortical simple cells. A number of psychophysical and neurophysiological predictions are derived from the theory.

scholarly journals Attention operates uniformly throughout the classical receptive field and the surround

eLife ◽  
2016 ◽  
Vol 5 ◽  
Author(s):  
Bram-Ernst Verhoef ◽  
John HR Maunsell
Keyword(s):  
Receptive Field ◽  
Cortical Neurons ◽  
Receptive Fields ◽  
Spatial Summation ◽  
Field Structure ◽  
Neuronal Responses ◽  
Large Variability ◽  
Area V4 ◽  
Classical Receptive Field ◽  
Spatially Varying

Shifting attention among visual stimuli at different locations modulates neuronal responses in heterogeneous ways, depending on where those stimuli lie within the receptive fields of neurons. Yet how attention interacts with the receptive-field structure of cortical neurons remains unclear. We measured neuronal responses in area V4 while monkeys shifted their attention among stimuli placed in different locations within and around neuronal receptive fields. We found that attention interacts uniformly with the spatially-varying excitation and suppression associated with the receptive field. This interaction explained the large variability in attention modulation across neurons, and a non-additive relationship among stimulus selectivity, stimulus-induced suppression and attention modulation that has not been previously described. A spatially-tuned normalization model precisely accounted for all observed attention modulations and for the spatial summation properties of neurons. These results provide a unified account of spatial summation and attention-related modulation across both the classical receptive field and the surround.

Spatial properties of neurons in the monkey striate cortex

1987 ◽  
Vol 231 (1263) ◽  
pp. 251-288 ◽  
Keyword(s):  
Receptive Field ◽  
Contrast Sensitivity ◽  
Visual Processing ◽  
Striate Cortex ◽  
Receptive Fields ◽  
Spatial Filter ◽  
Cortical Cells ◽  
Simple Cells ◽  
Gabor Function ◽  
Difference Of Gaussians

Contrast sensitivity as a function of spatial frequency was determined for 138 neurons in the foveal region of primate striate cortex. The accuracy of three models in describing these functions was assessed by the method of least squares. Models based on difference-of-Gaussians (DOG) functions were shown to be superior to those based on the Gabor function or the second differential of a Gaussian. In the most general case of the DOG models, each subregion of a simple cell’s receptive field was constructed from a single DOG function. All the models are compatible with the classical observation that the receptive fields of simple cells are made up of spatially discrete ‘on’ and ‘off’ regions. Although the DOG-based models have more free parameters, they can account better for the variety of shapes of spatial contrast sensitivity functions observed in cortical cells and, unlike other models, they provide a detailed description of the organization of subregions of the receptive field that is consistent with the physiological constraints imposed by earlier stages in the visual pathway. Despite the fact that the DOG-based models have spatially discrete components, the resulting amplitude spectra in the frequency domain describe complex cells just as well as simple cells. The superiority of the DOG-based models as a primary spatial filter is discussed in relation to popular models of visual processing that use the Gabor function or the second differential of a Gaussian.

Computational Predictions on the Receptive Fields and Organization of V2 for Shape Processing

2009 ◽  
Vol 21 (3) ◽  
pp. 762-785 ◽  
Author(s):  
Yiu Fai Sit ◽  
Risto Miikkulainen
Keyword(s):  
Receptive Field ◽  
Visual Processing ◽  
Receptive Fields ◽  
Self Organization ◽  
General Shape ◽  
Orientation Component ◽  
Shape Processing ◽  
Primary Orientation ◽  
Computational Predictions

It has been more than 40 years since the first studies of the secondary visual cortex (V2) were published. However, no concrete hypothesis on how the receptive field of V2 neurons supports general shape processing has been proposed to date. Using a computational model that follows the principle of self-organization, we advance two hypotheses in this letter: (1) typical V2 orientation-selective receptive field contains a primary orientation and a secondary orientation component, forming a corner, a junction, or a cross; and (2) V2 columns with the same primary orientation form contiguous domains, divided into subdomains that prefer different secondary orientations. The first hypothesis is consistent with existing experimental evidence, and both hypotheses can be tested with current techniques in animals. In this manner, computational modeling can be used to provide verifiable predictions that eventually allow us to understand the role of V2 in visual processing.

scholarly journals Opponent surrounds explain diversity of contextual phenomena across visual modalities

2016 ◽  
Author(s):  
David A. Mély ◽  
Thomas Serre
Keyword(s):  
Visual Cortex ◽  
Receptive Field ◽  
Network Model ◽  
Receptive Fields ◽  
Recurrent Network ◽  
Contextual Processing ◽  
Anatomy And Physiology ◽  
Classical Receptive Field ◽  
Neural Underpinnings

AsbtractContext is known to affect how a stimulus is perceived. A variety of illusions have been attributed to contextual processing — from orientation tilt effects to chromatic induction phenomena, but their neural underpinnings remain poorly understood. Here, we present a recurrent network model of classical and extra-classical receptive fields that is constrained by the anatomy and physiology of the visual cortex. A key feature of the model is the postulated existence of two spatially disjoint near-vs. far-extra-classical regions with complementary facilitatory and suppressive contributions to the classical receptive field. The model accounts for a variety of contextual illusions, reveals commonalities between seemingly disparate phenomena, and helps organize them into a novel taxonomy. It explains how center-surround interactions may shift from attraction to repulsion in tilt effects, and from contrast to assimilation in induction phenomena. The model further explains enhanced perceptual shifts generated by a class of patterned background stimuli that activate the two opponent extra-classical regions cooperatively. Overall, the ability of the model to account for the variety and complexity of contextual illusions provides computational evidence for a novel canonical circuit that is shared across visual modalities.

Suppression outside the classical cortical receptive field

2000 ◽  
Vol 17 (3) ◽  
pp. 369-379 ◽  
Author(s):  
GARY A. WALKER ◽  
IZUMI OHZAWA ◽  
RALPH D. FREEMAN
Keyword(s):  
Receptive Field ◽  
Visual Processing ◽  
Striate Cortex ◽  
Cell Types ◽  
Strongly Correlated ◽  
Complex Cell ◽  
Surround Suppression ◽  
Classical Receptive Field ◽  
Simple And Complex Cell ◽  
Prevalent Form

The important visual stimulus parameters for a given cell are defined by the classical receptive field (CRF). However, cells are also influenced by visual stimuli presented in areas surrounding the CRF. The experiments described here were conducted to determine the incidence and nature of CRF surround influences in the primary visual cortex. From extracellular recordings in the cat's striate cortex, we find that for over half of the cells investigated (56%, 153/271), the effect of stimulation in the surround of the CRF is to suppress the neuron's activity by at least 10% compared to the response to a grating presented within the CRF alone. For the remainder of the cells, the interactions were minimal and a few were of a facilitatory nature. In this paper, we focus on the suppressive interactions. Simple and complex cell types exhibit equal incidences of surround suppression. Suppression is observed for cells in all layers, and its degree is strongly correlated between the two eyes for binocular neurons. These results show that surround suppression is a prevalent form of inhibition and may play an important role in visual processing.

scholarly journals Distinctive receptive field and physiological properties of a wide-field amacrine cell in the macaque monkey retina

2015 ◽  
Vol 114 (3) ◽  
pp. 1606-1616 ◽  
Author(s):  
Michael B. Manookin ◽  
Christian Puller ◽  
Fred Rieke ◽  
Jay Neitz ◽  
Maureen Neitz
Keyword(s):  
Receptive Field ◽  
Long Range ◽  
Visual Processing ◽  
Amacrine Cell ◽  
Receptive Fields ◽  
Signal Propagation ◽  
Macaque Monkey ◽  
Membrane Properties ◽  
Wide Field ◽  
Spatial Integration

At early stages of visual processing, receptive fields are typically described as subtending local regions of space and thus performing computations on a narrow spatial scale. Nevertheless, stimulation well outside of the classical receptive field can exert clear and significant effects on visual processing. Given the distances over which they occur, the retinal mechanisms responsible for these long-range effects would certainly require signal propagation via active membrane properties. Here the physiology of a wide-field amacrine cell—the wiry cell—in macaque monkey retina is explored, revealing receptive fields that represent a striking departure from the classic structure. A single wiry cell integrates signals over wide regions of retina, 5–10 times larger than the classic receptive fields of most retinal ganglion cells. Wiry cells integrate signals over space much more effectively than predicted from passive signal propagation, and spatial integration is strongly attenuated during blockade of NMDA spikes but integration is insensitive to blockade of NaV channels with TTX. Thus these cells appear well suited for contributing to the long-range interactions of visual signals that characterize many aspects of visual perception.

Suppression of Hindlimb Inputs to S-I Forelimb-Stump Representation of Rats With Neonatal Forelimb Removal: GABA Receptor Blockade and Single-Cell Responses

2000 ◽  
Vol 83 (6) ◽  
pp. 3377-3387 ◽  
Author(s):  
Andrey S. Stojic ◽  
Richard D. Lane ◽  
Herbert P. Killackey ◽  
Robert W. Rhoades
Keyword(s):  
Receptive Field ◽  
Gaba Receptors ◽  
Cortical Neurons ◽  
Gaba Receptor ◽  
Single Unit ◽  
Receptive Fields ◽  
Receptor Blockade ◽  
Unit Recording ◽  
Cell Responses ◽  
Single Cell Responses

Neonatal forelimb removal in rats results in the development of inappropriate hindlimb inputs in the forelimb-stump representation of primary somatosensory cortex (S-I) that are revealed when GABAA and GABAB receptor activity are blocked. Experiments carried out to date have not made clear what information is being suppressed at the level of individual neurons. In this study, three potential ways in which GABA-mediated inhibition could suppress hindlimb expression in the S-I stump representation were evaluated: silencing S-I neurons with dual stump and hindlimb receptive fields, silencing neurons with receptive fields restricted to the hindlimb alone, and/or selective silencing of hindlimb inputs to neurons that normally express a stump receptive field only. These possibilities were tested using single-unit recording techniques to evaluate the receptive fields of S-I forelimb-stump neurons before, during, and after blockade of GABA receptors with bicuculline methiodide (for GABAA) and saclofen (for GABAB). Recordings were also made from normal rats for comparison. Of 92 neurons recorded from the S-I stump representation of neonatally amputated rats, only 2.2% had receptive fields that included the hindlimb prior to GABA receptor blockade. During GABA receptor blockade, 54.3% of these cells became responsive to the hindlimb, and in all but two cases, these same neurons also expressed a stump receptive field. Most of these cells (82.0%) expressed only stump receptive fields prior to GABA receptor blockade. In 71 neurons recorded from normal rats, only 5 became responsive to the hindlimb during GABA receptor blockade. GABA receptor blockade of cortical neurons, in both normal and neonatally amputated rats, resulted in significant enlargements of receptive fields as well as the emergence of receptive fields for neurons that were normally unresponsive. GABA receptor blockade also resulted in increases in both the spontaneous activity and response magnitudes of these neurons. These data support the conclusion that GABA mechanisms generally act to specifically suppress hindlimb inputs to S-I forelimb-stump neurons that normally express a receptive field on the forelimb stump only.

scholarly journals A retinal circuit for the suppressed-by-contrast receptive field of a polyaxonal amacrine cell

2020 ◽  
Vol 117 (17) ◽  
pp. 9577-9583 ◽  
Author(s):  
Yu Jia ◽  
Seunghoon Lee ◽  
Yehong Zhuo ◽  
Z. Jimmy Zhou
Keyword(s):  
Receptive Field ◽  
Visual Processing ◽  
Amacrine Cell ◽  
Ganglion Cells ◽  
Critical Role ◽  
Receptive Fields ◽  
Amacrine Cells ◽  
Large Field ◽  
Wide Field ◽  
Small Field

Amacrine cells are a diverse population of interneurons in the retina that play a critical role in extracting complex features of the visual world and shaping the receptive fields of retinal output neurons (ganglion cells). While much of the computational power of amacrine cells is believed to arise from the immense mutual interactions among amacrine cells themselves, the intricate circuitry and functions of amacrine–amacrine interactions are poorly understood in general. Here we report a specific interamacrine pathway from a small-field, glutamate–glycine dual-transmitter amacrine cell (vGluT3) to a wide-field polyaxonal amacrine cell (PAS4/5). Distal tips of vGluT3 cell dendrites made selective glycinergic (but not glutamatergic) synapses onto PAS4/5 dendrites to provide a center-inhibitory, surround-disinhibitory drive that helps PAS4/5 cells build a suppressed-by-contrast (sbc) receptive field, which is a unique and fundamental trigger feature previously found only in a small population of ganglion cells. The finding of this trigger feature in a circuit upstream to ganglion cells suggests that the sbc form of visual computation occurs more widely in the retina than previously believed and shapes visual processing in multiple downstream circuits in multiple ways. We also identified two different subpopulations of PAS4/5 cells based on their differential connectivity with vGluT3 cells and their distinct receptive-field and luminance-encoding characteristics. Moreover, our results revealed a form of crosstalk between small-field and large-field amacrine cell circuits, which provides a mechanism for feature-specific local (<150 µm) control of global (>1 mm) retinal activity.

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