Neural response to the motion of textures in the lateral suprasylvian area of cats

Hamada, Takashi

doi:10.1016/0166-4328(87)90066-0

Cited by 34 publications

(27 citation statements)

References 48 publications

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“…In this situation, neurons that responded purely to the individual textural components would be expected to yield weak responses to camouflaged bars. These responses would also, in all likelihood, summate over longer distances or be weakly modulated by changes in the second‐order bar length, show no end‐inhibition, and be more broadly tuned to the direction of motion (Hamada, 1987; Casanova et al ., 1995). Many V1 cells do, indeed, behave in this way, and it could be argued that FCI neurons simply represent the extreme of a continuous distribution.…”

Section: Discussionmentioning

confidence: 99%

First‐ and second‐order stimulus length selectivity in New World monkey striate cortex

Bourne

Lui

Tweedale

et al. 2004

Eur J of Neuroscience

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Motion is a powerful cue for figure-ground segregation, allowing the recognition of shapes even if the luminance and texture characteristics of the stimulus and background are matched. In order to investigate the neural processes underlying early stages of the cue-invariant processing of form, we compared the responses of neurons in the striate cortex (V1) of anaesthetized marmosets to two types of moving stimuli: bars defined by differences in luminance, and bars defined solely by the coherent motion of random patterns that matched the texture and temporal modulation of the background. A population of form-cue-invariant (FCI) neurons was identified, which demonstrated similar tuning to the length of contours defined by first- and second-order cues. FCI neurons were relatively common in the supragranular layers (where they corresponded to 28% of the recorded units), but were absent from layer 4. Most had complex receptive fields, which were significantly larger than those of other V1 neurons. The majority of FCI neurons demonstrated end-inhibition in response to long first- and second-order bars, and were strongly direction selective. Thus, even at the level of V1 there are cells whose variations in response level appear to be determined by the shape and motion of the entire second-order object, rather than by its parts (i.e. the individual textural components). These results are compatible with the existence of an output channel from V1 to the ventral stream of extrastriate areas, which already encodes the basic building blocks of the image in an invariant manner.

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Section: Discussionmentioning

confidence: 99%

First‐ and second‐order stimulus length selectivity in New World monkey striate cortex

Bourne

Lui

Tweedale

et al. 2004

Eur J of Neuroscience

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“…Many of these show end-stopping, with estimates in four different studies ranging from 25% (Wright, 1969;Spear & Baumann, 1975) to 70% (Camarda & Rizzolatti, 1976;Hamada, 1987). Yet this is not a difference that one would predict from the characteristics of cells in the Clare-Bishop area.…”

Section: Response Properties Of Afferentsmentioning

confidence: 94%

Visual response properties of cortical inputs to an extrastriate cortical area in the cat

Sherk

1989

Vis Neurosci

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The existence of multiple areas of extrastriate visual cortex raises the question of how the response properties of each area are derived from its visual input. This question was investigated for one such area in the cat, referred to here as the Clare-Bishop area (Hubel & Wiesel, 1969); it is the region of lateral suprasylvian cortex that receives input from area 17. A novel approach was used, in which kainic acid was injected locally into the Clare-Bishop area, making it possible to record directly from afferent inputs.The response properties of the great majority of a sample of 424 presumed afferents resembled cells in areas 17 and 18. Thus, a systematic comparison was made with cells from area 17's upper layers, the source of its projection to the Clare-Bishop area (Gilbert & Kelly, 1975), to see whether these afferents had distinctive properties that might distinguish them from cells projecting to areas 18 or 19. Some differences did emerge: (1) The smallest receptive fields typical of area 17 were relatively scarce among afferents. (2) Direction-selective afferents were more abundant than were such cells in area 17. (3) End-stopped afferents were extremely rare, although end-stopped cells were common in area 17's upper layers.Despite these differences, afferents were far more similar in their properties to cells in areas 17 and 18 than to cells in the Clare-Bishop area. Compared to the latter, afferents showed major discrepancies in receptive-field size, in direction selectivity, in end-stopping, and in ocular dominance distribution. These differences seem most likely to stem from circuitry intrinsic to the Clare-Bishop area.

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“…In the present study, we asked whether there are cells that respond specifically to the pattern of optic flow generated by turns during locomotion. The retinotopic organization in LS, and its anatomical connections and response properties to simple stimuli (moving bars, spots, and gratings), suggest that this area is analogous to MT in primates (Zeki, 1974;Spear & Baumann, 1975;Maunsell & Van Essen, 1983, 1987Payne, 1993;Sherk & Mulligan, 1993). LS is defined as the region of lateral suprasylvian cortex that receives input from areas 17 and 18 (Sherk, 1986;Grant & Shipp, 1991).…”

Section: Introductionmentioning

confidence: 99%

“…We expected that cells' selectivity for particular turn movies would be explained by their direction selectivity because this is a ubiquitous feature of cells in LS (see, for example, Hubel & Wiesel, 1969;Spear & Baumann, 1975;Camarda & Rizzolatti, 1976;Hamada, 1987;Rauschecker et al, 1987;von Grunau et al, 1987;Gizzi et al, 1990). Direction preference clearly was important for most turn-selective cells, but failed to explain the turn preferences for about a third of them.…”

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confidence: 99%

Responses in extrastriate cortex to optic flow during simulated turns

Sherk

Kim

2002

Vis Neurosci

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An observer locomoting along a straight path sees a pattern of optic flow in which images move approximately radially outward from his heading point. If the observer turns, the optic flow field changes markedly because each object's image now has a component of horizontal motion added to its "optic flow" motion. We tested the responses of 326 cells in the cat's extrastriate area LS (lateral suprasylvian visual area) to movies simulating the optic flow seen during locomotion in a straight line, and during various simulated turns to the left and right. About 60% of 326 cells tested responded to optic flow simulating turns. Of most interest was a subset of cells, 15% of the total, that had "turn-selective" responses. They responded significantly better to turns in a particular direction (usually to the contralateral side) than to turns in the opposite direction or to optic flow simulating straight-ahead locomotion. For each cell, we generated a display of fronto-parallel motion with a direction and speed that matched the image motion in the preferred turn movie, as seen at the receptive-field center. Most turn-selective cells responded significantly better to their preferred turn movie than to this fronto-parallel stimulus. We examined the role of cells' selectivity for stimulus direction, speed, and acceleration in determining cell preference for particular turns. Direction preference played some role for most cells, but about a third of the cells preferred turn movies that did not reflect their direction selectivity. Other factors, including the presence of opposing motion, only rarely appeared to determine cell preferences for particular turn movies.

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Neural response to the motion of textures in the lateral suprasylvian area of cats

Cited by 34 publications

References 48 publications

First‐ and second‐order stimulus length selectivity in New World monkey striate cortex

First‐ and second‐order stimulus length selectivity in New World monkey striate cortex

Visual response properties of cortical inputs to an extrastriate cortical area in the cat

Responses in extrastriate cortex to optic flow during simulated turns

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