Differences in visual attention and task interference between males and females reflect differences in brain laterality.

Two cognitive tasks (a letter memory task and a spatial memory task) designed to selectively activate the left or right hemisphere were combined with attentional probe tasks to measure how hemispheric activation affects attention to left and right hemifields. The probe task in Experiment 1 required the identification of digits in the left and right hemifield. During the letter task, male subjects identified more probes from the left hemifield than from the right. Their accuracy varied little across the two hemifields during the dots task. Experiment 2 tested whether this pattern is due to either spatial attention or interference in character processing. Instead of identifying digits, the probe task required subjects to respond to a black square that appeared in the periphery of the screen. For male subjects, the pattern was opposite of that from Experiment 1. During the letter task they responded faster to the probe in the right hemifield than in the left. Their response times were equivalent across the two hemifields during the dots task.These results indicate two separate effects of laterality in male subjects. The activation of one hemisphere produced more attention to the contralateral hemifield in Experiment 2, and the letter memory task interfered with the processing of other characters in the right visual field more than those in the left visual field in Experiment 1. Neither of these effects appeared in female subjects, corroborating earlier claims that female brains are less lateralized than male brains.

Varieties of size-specific visual selection.

Compared time to evaluate stimuli of varying sizes. When Ss expect an upcoming stimulus to be a certain size, response time increases with the disparity between expected and actual size. There are, however, 2 size adjustment processes, and they reflect 2 types of visual selection. In the first, a shape-specific image representation is used to separate a visual object from a superimposed distractor. These representations require the type of slow size scaling demonstrated in imagery experiments. The second size scaling process is faster and not shape-specific. At any given time the visual system is set to process information at a particular scale, and that scale can be adjusted to match an object's size. Because both selection mechanisms depend on size, they probably occur at a relatively low, spatially organized processing level. These findings lead to a new explanation for results that had been taken as evidence for attentional selection at the level of object representations.

Guided search: an alternative to the feature integration model for visual search.

Subjects searched sets of items for targets defined by conjunctions of color and form, color and orientation, or color and size. Set size was varied and reaction times (RT) were measured. For many unpracticed subjects, the slopes of the resulting RT X Set Size functions are too shallow to be consistent with Treisman's feature integration model, which proposes serial, self-terminating search for conjunctions. Searches for triple conjunctions (Color X Size X Form) are easier than searches for standard conjunctions and can be independent of set size. A guided search model similar to Hoffman's (1979) two-stage model can account for these data. In the model, parallel processes use information about simple features to guide attention in the search for conjunctions. Triple conjunctions are found more efficiently than standard conjunctions because three parallel processes can guide attention more effectively than two.

Limitations on the parallel guidance of visual search: color x color and orientation x orientation conjunctions.

In visual search for a conjunction it is much more difficult to search for the conjunction of 2 colors or 2 orientations than for Color x Orientation or Color x Shape conjunctions. The result is not limited to particular colors or shapes. Two colors cannot occupy the same spatial location in Color x Color searches. However, Experiments 6 and 7 show that Color x Shape searches remain efficient even if the color and shape are spatially separated. Our guided search model suggests that in searches for Color x Shape, a parallel color module can guide attention toward the correct color, whereas the shape module guides attention toward the correct shape. Together these 2 sources of guidance lead attention to the target. However, if a target is red and green among red-blue and green-blue distractors, it is not possible to guide search independently toward red items and green items or away from all blue items.

Perceptual grouping via spatial selection in a focused-attention task.

Theories of attention can be separated into those that select by location, and those that select by location-invariant representation. Experiments demonstrating stronger interference or facilitation from distractors grouped by nonspatial features with the target than ungrouped distractors have been considered as evidence for the selection of location-invariant representations. However, few studies have measured spatial attention directly at the locations of the grouped or ungrouped objects. In these experiments subjects responded to spatial probes (dots) while also identifying a cued target letter among distractors. Probe responses were faster for distractor locations with the target color than for those with the nontarget color, implying that target-color locations receive more attention. This pattern of spatial attention may explain why target-color distractors interfere more with target identification than nontarget-color distractors. These results suggest that although attention can be directed by nonspatial properties such as grouping by color or organization of the scene into objects, selection may ultimately be based on location.

Visuospatial attention: beyond a spotlight model.

Much of the research in visual attention has been driven by the spotlight metaphor. This metaphor has been useful over many years for generating experimental questions in attention research. However, theories and models of visual selection have reached such a level of complexity that debate now centers around more specific questions about the nature of attention. In this review, the general question "Is visual attention like a spotlight?" is broken down into seven specific questions concerning the nature of visual attention, and the evidence relevant to each is examined. The answers to these specific questions provide important clues about why visual selection is necessary and what purpose attention plays in visual cognition.

Grouping effects on spatial attention in visual search.

In visual search tasks, spatial attention selects the locations containing a target or a distractor with one of the target's features, implying that spatial attention is driven by target features (M.-S. Kim & K. R. Cave, 1995). The authors measured the effects of location-based grouping processes in visual search. In searches for a color-shape combination (conjunction search), spatial probes indicated that a cluster of same-color or same-shape elements surrounding the target were grouped and selected together. However, in searches for a shape target (feature search), evidence for grouping by an irrelevant feature dimension was weaker or nonexistent. Grouping processes aided search for a visual target by selecting groups of locations that shared a common feature, although there was little or no grouping by an irrelevant feature when the target was defined by a unique salient feature.

The FeatureGate model of visual selection.

The model presented here is an attempt to explain the results from a number of different studies in visual attention, including parallel feature searches and serial conjunction searches. Variations in such slope with variations in feature contrast and individual subject differences, attentional gradients triggered by cueing, feature-driven spatial selection, split attention, inhibition of distractor locations, and flanking inhibition. The model is implemented in a neural network consisting of a hierarchy of spatial maps. Attentional gates control the flow of information from each level of the hierarchy to the next. The gates are jointly controlled by a Bottom-Up System favoring locations with unique features and a Top-Down System favoring locations with features designated as target features. Because the gating of each location depends on the features presented there, the model is called FeatureGate.

Modeling the role of parallel processing in visual search.

Treisman's Feature Integration Theory and Julesz's Texton Theory explain many aspects of visual search. However, these theories require that parallel processing mechanisms not be used in many visual searches for which they would be useful, and they imply that visual processing should be much slower than it is. Most importantly, they cannot account for recent data showing that some subjects can perform some conjunction searches very efficiently. Feature Integration Theory can be modified so that it accounts for these data and helps to answer these questions. In this new theory, which we call Guided Search, the parallel stage guides the serial stage as it chooses display elements to process. A computer simulation of Guided Search produces the same general patterns as human subjects in a number of different types of visual search.

Visual selection mediated by location: selecting successive visual objects.

In these experiments, each stimulus consists of a series of frames, each containing a target digit of one color and a distractor digit of another color. The task is to name the highest digit of the target color. Subjects make fewer errors when successive targets appear at the same location than when they appear at different locations, apparently because they select target objects by using a mechanism that is based on location. When successive targets appear at the same location, there is no need to "move" the selection mechanism to a new location, leaving more time to identify the stimuli. These experiments show that location-based selection is used even though selection by color would be more direct. They also demonstrated a method of measuring location-based selection that can be applied to a variety of visual tasks. Further experiments reveal that although location-based selection is used to identify a digit in the presence of a digit distractor, it is not used to identify a digit in the presence of a letter distractor, suggesting that this selection mechanism is not used in this situation to prevent interference among the basic features making up letters and digits, but to inhibit responses associated with the distractors.

Top-down and bottom-up attentional control: on the nature of interference from a salient distractor.

In two experiments using spatial probes, we measured the temporal and spatial interactions between top-down control of attention and bottom-up interference from a salient distractor in visual search. The subjects searched for a square among circles, ignoring color. Probe response times showed that a color singleton distractor could draw attention to its location in the early stage of visual processing (before a 100-msec stimulus onset asynchrony [SOA]), but only when the color singleton distractor was located far from the target. Apparently the bottom-up activation of the singleton distractor's location is affected early on by local interactions with nearby stimulus locations. Moreover, probe results showed that a singleton distractor did not receive attention after extended practice. These results suggest that top-down control of attention is possible at an early stage of visual processing. In the long-SOA condition (150-msec SOA), spatial attention selected the target location over distractor locations, and this tendency occurred with or without extended practice.

Can we lose memories of faces? Content specificity and awareness in a prosopagnosic.

Prosopagnosia is a neurological syndrome in which patients cannot recognize faces. Kecently it has been shown that some prosopagnosics give evidence of "covert" recognition: they show greater autonomic responses to familiar faces than to unfamiliar ones, and respond differently to familiar faces in learning and interference tasks. Although some patients do not show covert recognition, this has usually been attributed to an "apperceptive" deficit that impairs perceptual analysis of the input. The implication is that prosopagnosia is a deficit in access to, or awareness of, memories of faces: the inducing brain injury does not destroy the memories themselves. We present a case study that challenges this view. LH suffers from prosopagnosia as the result of a closed head injury. He cannot recognize familiar faces or report that they are familiar, nor answer questions about the faces from memory, though he can (1) recognize common objects and subtly varying shapes, (2) match faces while ignoring irrelevant information such as emotional expression or angle of view, (3) recognize sex, age, and like-ability from faces, and (4) recognize people by a number of nonfacial channels. The only other categories of shapes that he has marked trouble recognizing are animals and emotional expressions, though even these impairments were not as severe as the one for faces. Three measures (sympathetic skin response, pupil dilation, and learning correct and incorrect names of faces) failed to show any signs of covert face recognition in LH, though the measures were sensitive enough to reflect autonomic reactions in LH to stimuli other than faces, and face familiarity in normal controls. Thus prosopagnosia cannot always be attributed to a mere absence of awareness (i.e., preserved information about faces whose output is disconnected from conscious cognitive processing), to an apperceptive deficit (i.e., preserved information about faces that cannot be accessed due to improperly analyzed perceptual input), or to an inability to recognize complex or subtly varying shapes (i.e., loss or degradation of shape memory in general). We conclude that it is possible for brain injury to eliminate the storage of information about familiar faces and certain related shapes.

Why are "What" and "Where" Processed by Separate Cortical Visual Systems? A Computational Investigation.

In the primate visual system, the identification of objects and the processing of spatial information are accomplished by different cortical pathways. The computational properties of this "two-systems" design were explored by constructing simplifying connectionist models. The models were designed to simultaneously classify and locate shapes that could appear in multiple positions in a matrix, and the ease of forming representations of the two kinds of information was measured. Some networks were designed so that all hidden nodes projected to all output nodes, whereas others had the hidden nodes split into two groups, with some projecting to the output nodes that registered shape identity and the remainder projecting to the output nodes that registered location. The simulations revealed that splitting processing into separate streams for identifying and locating a shape led to better performance only under some circumstances. Provided that enough computational resources were available in both streams, split networks were able to develop more efficient internal representations, as revealed by detailed analyses of the patterns of weights between connections.

Visual selection mediated by location: feature-based selection of noncontiguous locations.

Experiments using two different methods and three types of stimuli tested whether stimuli at non-adjacent locations could be selected simultaneously. In one set of experiments, subjects attended to red digits presented in multiple frames with green digits. Accuracy was no better when red digits appeared successively than when pairs of red digits occurred simultaneously, implying allocation of attention to the two locations simultaneously. Different tasks involving oriented grating stimuli produced the same result. The final experiment demonstrated split attention with an array of spatial probes. When the probe at one of two target locations was correctly reported, the probe at the other target location was more often reported correctly than were any of the probes at distractor locations, including those between the targets. Together, these experiments provide strong converging evidence that when two targets are easily discriminated from distractors by a basic property, spatial attention can be split across both locations.

The representation of location in visual images.

By definition, visual image representations are organized around spatial properties. However, we know very little about how these representations use information about location, one of the most important spatial properties. Three experiments explored how location information is incorporated into image representations. All of these experiments used a mental rotation task in which the location of the stimulus varied from trial to trial. If images are location-specific, these changes should affect the way images are used. The effects from image representations were separated from those of general spatial attention mechanisms by comparing performance with and without advance knowledge of the stimulus shape. With shape information, subjects could use an image as a template, and they recognized the stimulus more quickly when it was at the same location as the image. Experiment 1 demonstrated that subjects were able to use visual image representations effectively without knowing where the stimulus would appear, but left open the possibility that image location must be adjusted before use. In Experiment 2, distance between the stimulus location and the image location was varied systematically, and response time increased with distance. Therefore image representations appear to be location-specific, though the represented location can be adjusted easily. In Experiment 3, a saccade was introduced between the image cue and the test stimulus, in order to test whether subjects responded more quickly when the test stimulus appeared at the same retinotopic location or same spatiotopic location as the cue. The results suggest that location is coded retinotopically in image representations. This finding has implications not only for visual imagery but also for visual processing in general, because it suggests that there is no spatiotopic transform in the early stages of visual processing.