Are Face and Object Recognition Independent? A Neurocomputational Modeling Exploration

Are face and object recognition abilities independent? Although it is commonly believed that they are, Gauthier et al.(2014) recently showed that these abilities become more correlated as experience with nonface categories increases. They argued that there is a single underlying visual ability, v, that is expressed in performance with both face and nonface categories as experience grows. Using the Cambridge Face Memory Test and the Vanderbilt Expertise Test, they showed that the shared variance between Cambridge Face Memory Test and Vanderbilt Expertise Test performance increases monotonically as experience increases. Here, we address why a shared resource across different visual domains does not lead to competition and to an inverse correlation in abilities? We explain this conundrum using our neurocomputational model of face and object processing (The Model, TM). Our results show that, as in the behavioral data, the correlation between subordinate level face and object recognition accuracy increases as experience grows. We suggest that different domains do not compete for resources because the relevant features are shared between faces and objects. The essential power of experience is to generate a "spreading transform" for faces that generalizes to objects that must be individuated. Interestingly, when the task of the network is basic level categorization, no increase in the correlation between domains is observed. Hence, our model predicts that it is the type of experience that matters and that the source of the correlation is in the fusiform face area, rather than in cortical areas that subserve basic level categorization. This result is consistent with our previous modeling elucidating why the FFA is recruited for novel domains of expertise (Tong et al., 2008)

Removing the own-race bias in face recognition by attentional shift using fixation crosses to diagnostic features: An eye-tracking study

Hills and Lewis (2011) have demonstrated that the own-race bias in face recognition can be reduced or even removed by guiding participants' attention and potentially eye movements to the most diagnostic visual features. Using the same old/new recognition paradigm as Hills and Lewis, we recorded Black and White participants' eye movements whilst viewing Black and White faces following fixation crosses that preceded the bridge of the nose (between the eyes) or the tip of the nose. White faces were more accurately recognized when following high fixation crosses (that preceded the bridge of the nose) than when following low fixation crosses. The converse was true for Black faces. These effects were independent of participant race. The fixation crosses attracted the first fixation but had less effect on other eye-tracking measures. Furthermore, the location of the first fixation was predictive of recognition accuracy. These results are consistent with an attentional allocation model of the own-race bias in face recognition and highlight the importance of the first fixation for face perception (cf. Hsiao & Cottrell, 2008)

Positive intergroup contact modulates fusiform gyrus activity to black and white faces.

In this study, we investigated the effect of intergroup contact on processing of own- and other-race faces using functional Magnetic Resonance Imaging (fMRI). Previous studies have shown a neural own-race effect with greater BOLD response to own race compared to other race faces. In our study, white participants completed a social-categorization task and an individuation task while viewing the faces of both black and white strangers after having answered questions about their previous experiences with black people. We found that positive contact modulated BOLD activity in the right fusiform gyrus (rFG) and left inferior occipital gyrus (lIOC), regions associated with face processing. Within these regions, higher positive contact was associated with higher activity when processing black, compared to white faces during the social categorisation task. We also found that in both regions a greater amount of individuating experience with black people was associated with greater activation for black vs. white faces in the individuation task. Quantity of contact, implicit racial bias and negatively valenced contact showed no effects. Our findings suggest that positive contact and individuating experience directly modulate processing of out-group faces in the visual cortex, and illustrate that contact quality rather than mere familiarity is an important factor in reducing the own race face effect

Recognizing the Other: Training\u27s Ability to Improve Other Race Individuation

Members of one race or ethnicity are less able to individuate members of another race compared to their own race peers. This phenomenon is known as the other race effect (ORE) or the cross race effect (CRE). Not only are individuals less able to identify members of the other race but they are also more likely to pick those individuals out of a crowd. The categorizationindividuation model predicts that this deficit arises from a lack of motivated individuation; in which members of the other race are remembered at the category level as a prototype while own race members are remembered by name with individual characteristics. Discrimination training regimes derived from animal research for use in humans have demonstrated efficacy at improving discrimination of novel stimuli after several hours of training because participants are motivated to remember the face as an individual. The current study tested a shortened individuation training program using twelve own race/other race stimuli paired with names or letters. A go/no-go task was used to measure transfer of individuation ability. The present research demonstrates that a regimen as short as described is not sufficient to improve recognition. Future directions for research are discussed in consideration of tentative results including modifications of both the training task and transfer test

Race, Brain Science, and Critical Decision-Making in the Context of Constitutional Criminal Procedure

This article surveys current and emerging neuroscience research that is uncovering deep cognitive-level and unconscious connections between race or racial constructs, perception, and decision making. Using those findings as a platform for consideration, the article addresses several implications that these cognitive patterns might have for the particular kinds of perceptual experiences and decision making opportunities that are relevant in the context of criminal law enforcement and police procedure, and begins to evaluate the influence that these cognitive trends may have on the development of specific legal regulatory mechanisms and their application to the larger law enforcement complex

A specialized face-processing model inspired by the organization of monkey face patches explains several face-specific phenomena observed in humans

Converging reports indicate that face images are processed through specialized neural networks in the brain –i.e. face patches in monkeys and the fusiform face area (FFA) in humans. These studies were designed to find out how faces are processed in visual system compared to other objects. Yet, the underlying mechanism of face processing is not completely revealed. Here, we show that a hierarchical computational model, inspired by electrophysiological evidence on face processing in primates, is able to generate representational properties similar to those observed in monkey face patches (posterior, middle and anterior patches). Since the most important goal of sensory neuroscience is linking the neural responses with behavioral outputs, we test whether the proposed model, which is designed to account for neural responses in monkey face patches, is also able to predict well-documented behavioral face phenomena observed in humans. We show that the proposed model satisfies several cognitive face effects such as: composite face effect and the idea of canonical face views. Our model provides insights about the underlying computations that transfer visual information from posterior to anterior face patches

Race-specific perceptual discrimination improvement following short individuation training with faces.

This study explores the effect of individuation training on the acquisition of race-specific expertise. First, we investigated whether practice individuating other-race faces yields improvement in perceptual discrimination for novel faces of that race. Second, we asked whether there was similar improvement for novel faces of a different race for which participants received equal practice, but in an orthogonal task that did not require individuation. Caucasian participants were trained to individuate faces of one race (African American or Hispanic) and to make difficult eye-luminance judgments on faces of the other race. By equating these tasks we are able to rule out raw experience, visual attention, or performance/success-induced positivity as the critical factors that produce race-specific improvements. These results indicate that individuation practice is one mechanism through which cognitive, perceptual, and/or social processes promote growth of the own-race face recognition advantage.</p

Verifying other-race identity in forensic settings: Increasing tolerance for variability in appearance

When viewing unfamiliar faces, photos of the same person often are perceived as belonging to different people and photos of different people as belonging to the same person. Identity matching of unfamiliar faces is especially challenging when the photos are of a person whose ethnicity differs from that of the observer. In contrast, matching is trivial when viewing familiar faces, regardless of race. In a 1-in-30-lineup task in which participants are asked to find the image of a target from an array of 30 identities, viewing multiple images of an own-race target improves performance, reflecting rapid familiarization (Dowsett et al., 2016). Here, participants were asked to find an other-race target from an array of 30 images, and participants’ performance on this task was observed as they were provided with additional images of each other-race target. I report rapid familiarization when the target was known to be present (Experiment 1) but not when both target-present and target-absent trials were included in the task (Experiment 2). Viewing multiple images of a target-absent identity provided no benefit in reducing false alarms. Although a possible route to familiarization with other-race faces, my findings suggest caution for the use of multiple images in applied face verification settings