scholarly journals Nonlinear Y-Like Receptive Fields in the Early Visual Cortex: An Intermediate Stage for Building Cue-Invariant Receptive Fields from Subcortical Y Cells

2017 ◽  
Vol 37 (4) ◽  
pp. 998-1013
Author(s):  
Amol Gharat ◽  
Curtis L. Baker
2019 ◽  
Vol 39 (41) ◽  
pp. 8079-8088 ◽  
Author(s):  
Tamar Green ◽  
Hadi Hosseini ◽  
Aaron Piccirilli ◽  
Alexandra Ishak ◽  
Kalanit Grill-Spector ◽  
...  

2021 ◽  
Vol 15 ◽  
Author(s):  
Tushar Chauhan ◽  
Timothée Masquelier ◽  
Benoit R. Cottereau

The early visual cortex is the site of crucial pre-processing for more complex, biologically relevant computations that drive perception and, ultimately, behaviour. This pre-processing is often studied under the assumption that neural populations are optimised for the most efficient (in terms of energy, information, spikes, etc.) representation of natural statistics. Normative models such as Independent Component Analysis (ICA) and Sparse Coding (SC) consider the phenomenon as a generative, minimisation problem which they assume the early cortical populations have evolved to solve. However, measurements in monkey and cat suggest that receptive fields (RFs) in the primary visual cortex are often noisy, blobby, and symmetrical, making them sub-optimal for operations such as edge-detection. We propose that this suboptimality occurs because the RFs do not emerge through a global minimisation of generative error, but through locally operating biological mechanisms such as spike-timing dependent plasticity (STDP). Using a network endowed with an abstract, rank-based STDP rule, we show that the shape and orientation tuning of the converged units are remarkably close to single-cell measurements in the macaque primary visual cortex. We quantify this similarity using physiological parameters (frequency-normalised spread vectors), information theoretic measures [Kullback–Leibler (KL) divergence and Gini index], as well as simulations of a typical electrophysiology experiment designed to estimate orientation tuning curves. Taken together, our results suggest that compared to purely generative schemes, process-based biophysical models may offer a better description of the suboptimality observed in the early visual cortex.


2007 ◽  
Vol 98 (3) ◽  
pp. 1194-1212 ◽  
Author(s):  
Kota S. Sasaki ◽  
Izumi Ohzawa

The receptive fields of complex cells in the early visual cortex are economically modeled by combining outputs of a quadrature pair of linear filters. For actual complex cells, such a minimal model may be insufficient because many more simple cells are thought to make up a complex cell receptive field. To examine the minimalist model physiologically, we analyzed spatial relationships between the internal structure (subunits) and the overall receptive fields of individual complex cells by a two-stimulus interaction technique. The receptive fields of complex cells are more circular and only slightly larger than their subunits in size. In addition, complex cell subunits occupy spatial extents similar to those of simple cell receptive fields. Therefore in these respects, the minimalist schema is a fair approximation to actual complex cells. However, there are violations against the minimal model. Simple cell receptive fields have significantly fewer subregions than complex cell subunits and, in general, simple cell receptive fields are elongated more horizontally than vertically. This bias is absent in complex cell subunits and receptive fields. Thus simple cells cannot be equated to individual complex cell subunits and spatial pooling of simple cells may occur anisotropically to constitute a complex cell subunit. Moreover, when linear filters for complex cell subunits are examined separately for bright and dark responses, there are significant imbalances and position displacements between them. This suggests that actual complex cell receptive fields are constructed by a richer combination of linear filters than proposed by the minimalist model.


Author(s):  
Bo Liu ◽  
Xiaochun Wang ◽  
Le Wang ◽  
Qiaojun Qu ◽  
Wei Zhang ◽  
...  

1978 ◽  
Vol 41 (4) ◽  
pp. 948-962 ◽  
Author(s):  
A. G. Leventhal ◽  
H. V. Hirsch

1. Receptive-field properties of neurons in the different layers of the visual cortex of normal adult cats were analyzed quantitatively. Neurons were classified into one of two groups: 1) S-cells, which have discrete on- and/or off-regions in their receptive fields and possess inhibitory side bands; 2) C-cells, which do not have discrete on- and off-regions in their receptive fields but display an on-off response to flashing stimuli. Neurons of this type rarely display side-band inhibition. 2. As a group, S-cells display lower relative degrees of binocularity and are more selective for stimulus orientation than C-cells. In addition, within a given lamina the S-cells have smaller receptive fields, lower cutoff velocities, lower peak responses to visual stimulation, and lower spontaneous activity than do the C-cells. 3. S-cells in all layers of the cortex display similar orientation sensitivities, mean spontaneous discharge rates, peak response to visual stimulation, and degrees of binocularity. 4. Many of the receptive-field properties of cortical cells vary with laminar location. Receptive-field sizes and cutoff velocities of S-cells and of C-cells are greater in layers V and VI than in layers II-IV. For S-cells, preferred velocities are also greater in layers V and VI than in layers II-IV. Furthermore, C-cells in layers V and VI display high mean spontaneous discharge rates, weak orientation preferences, high relative degrees of binocularity, and higher peak responses to visual stimulation when compared to C-cells in layers II and III. 5. The receptive-field properties of cells in layers V-VI of the striate cortex suggest that most neurons that have their somata in these laminae receive afferents from LGNd Y-cells. Hence, our results suggest that afferents from LGNd Y-cells may play a major part in the cortical control of subcortical visual functions.


2007 ◽  
Vol 58 ◽  
pp. S154
Author(s):  
Yuka Tabuchi ◽  
Kota Sasaki ◽  
Izumi Ohzawa

2003 ◽  
Vol 89 (2) ◽  
pp. 1112-1125 ◽  
Author(s):  
Toshiki Tani ◽  
Isao Yokoi ◽  
Minami Ito ◽  
Shigeru Tanaka ◽  
Hidehiko Komatsu

Neuronal activity in the early visual cortex has been extensively studied from the standpoint of contour representation. On the other hand, representation of the interior of a surface surrounded by a contour is much less well understood. Several studies have identified neurons activated by a uniform surface covering their receptive fields, but their distribution within the cortex is not yet known. The aim of the present study was to obtain a better understanding of the distribution of such neurons in the visual cortex. Using optical imaging of intrinsic signals, we found that there are a group of surface-responsive regions located in area 18, along the area 17/18 border, that tend to overlap the singular points of the orientation-preference map. Extracellular recordings confirmed that neurons responsive to uniform plane stimuli are accumulated in these regions. Such neurons also existed outside the surface-responsive regions around the singular points. These results suggest that there exists a functional organization related to the representation of a uniform surface in the early visual cortex.


2014 ◽  
Vol 14 (1) ◽  
pp. 17-17 ◽  
Author(s):  
C. A. Greene ◽  
S. O. Dumoulin ◽  
B. M. Harvey ◽  
D. Ress

1992 ◽  
Vol 8 (5) ◽  
pp. 407-441 ◽  
Author(s):  
David N. Mastronarde

AbstractSimultaneous recording in the cat's retina and lateral geniculate nucleus (LGN) was used to find excitatory inputs to LGN cells. These recordings, correlated with measurements of LGN cell receptive-field properties, suggested new functional subdivisions of LGN cells. Distinctions between lagged and nonlagged cells were described before (Mastronarde, 1987a,b; Mastronarde et al., 1991), classification of nonlagged cells is examined here.The Xs-type relay cells described before (Mastronarde, 1987a,b) each had detectable excitatory input from only one retinal X cell. Cells that received significant input from more than one retinal X cell were of three kinds: relay cells with pure X input (XM); relay cells with mixed X and Y input (X/Y); and cells that could not be antidromically activated from visual cortex (XI). In the series of relay cells, XS-XM-X/Y-Y, cells had progressively larger receptive-field centers, lower spatial resolution, and faster and more Y-like responses to various stimuli. XI cells resembled XM and X/Y cells in some respects but tended to have higher maintained firing rates, more sustained responses, and weaker surround suppression of the center response.The distinctness of XS, XM, X/Y, XI, and Y from each other was examined with a modification of discriminant analysis that allowed cells to lack measurements for some parameters. Any given pair of categories could be distinguished reliably with only three parameters, although less so for X/Y-Y. In particular, XI cells were distinguishable from relay cells by properties other than the results of cortical stimulation, thus supporting the identity of XI cells as a separate class of X interneurons.Two discontinuities in the behavior of retinal input suggest that XM cells are a separate class from XS and X/Y cells: (1) LGN X cells received either no detectable input from any of the retinal X cells adjacent to their main input, or an easily detectable amount from several such cells; and (2) cells received either no Y input or a certain minimum amount. No such discontinuity in input underlies the distinction between X/Y and Y cells.LGN Y cells were also heterogeneous. Those with substantial input from more than one retinal Y cell had larger receptive fields and a greater preference for fast-moving stimuli than did Y cells dominated by a single input. Three Y cells could not be antidromically activated. They tended to differ from Y relay cells and resemble X interneurons in several ways. These shared properties, and the general reliability of cortical stimulation for nonlagged cells, indicate that the cells were Y interneurons.The strength of excitatory input extrapolated to zero at a separation between LGN and ganglion cell receptive fields equivalent to the radius of a retinal X axonal arbor for X input to XM, XI, and X/Y cells, or to the radius of a Y arbor for Y input to X/Y and Y cells. Thus, a retinal axon appears to be selective in providing input primarily to cells with somata within its arbor, rather than to all cells with overlapping dendrites.Coverage, the number of receptive-field centers overlapping a single point, was estimated for each kind of LGN cell described here. Each had a coverage of at least 6, comparable to that of retinal Y cells; most kinds had coverages of 15–35. These estimates support the idea that these subdivisions of LGN cells are functionally significant.XM and X/Y cells fill in the functional gap that is present between retinal X and Y cells and make the distribution of spatial properties more continuous, while multiple-input Y cells broaden the range of spatial properties. One role of LGN circuitry might thus be to provide a substrate for the correspondingly broad and continuous range of spatial-frequency tuning in the visual cortex.


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