Unfamiliar face matching ability predicts the slope of face learning.

We provide the first examination of individual differences in the efficiency of face learning. Investigating individual differences in face learning can illuminate potential mechanisms and provide greater understanding of why certain individuals might be more efficient face learners. Participants completed two unfamiliar face matching tasks and a learning task in which learning was assessed after viewing 1, 3, 6, and 9 images of to-be-learned identities. Individual differences in the slope of face learning (i.e., increases in sensitivity to identity) were predicted by the ability to discriminate between matched (same-identity) vs. mismatched (different-identity) pairs of wholly unfamiliar faces. A Dual Process Signal Detection model showed that three parameters increased with learning: Familiarity (an unconscious type of memory that varies in strength), recollection-old (conscious recognition of a learned identity), and recollection-new (conscious/confident rejection of novel identities). Good (vs. poor) matchers had higher Recollection-Old scores throughout learning and showed a steeper increase in Recollection-New. We conclude that good matchers are better able to capitalize on exposure to within-person variability in appearance, an effect that is attributable to their conscious memory for both learned and novel faces. These results have applied implications and will inform contemporary and traditional models of face identification.

Picture this: Photographers no better than controls for recognizing unfamiliar faces.

With the exception of super recognizers and forensic examiners, people make a surprising number of errors when deciding whether photographs of unfamiliar faces belong to the same person or different people. Training protocols designed to improve professionals' (e.g., passport officers) performance often include photography. We evaluated the influence of life-time photography experience on the ability to distinguish matched versus mismatched face pairs. Expert photographers were not more sensitive to identity than hobbyists or novices-despite specializing in human subjects; Hobbyists were more liberal (more same responses) than Experts. We conclude that photography experience is not a route to expertise.

What happens to our representation of identity as familiar faces age? Evidence from priming and identity aftereffects.

Matching identity in images of unfamiliar faces is error prone, but we can easily recognize highly variable images of familiar faces - even images taken decades apart. Recent theoretical development based on computational modelling can account for how we recognize extremely variable instances of the same identity. We provide complementary behavioural data by examining older adults' representation of older celebrities who were also famous when young. In Experiment 1, participants completed a long-lag repetition priming task in which primes and test stimuli were the same age or different ages. In Experiment 2, participants completed an identity after effects task in which the adapting stimulus was an older or young photograph of one celebrity and the test stimulus was a morph between the adapting identity and a different celebrity; the adapting stimulus was the same age as the test stimulus on some trials (e.g., both old) or a different age (e.g., adapter young, test stimulus old). The magnitude of priming and identity after effects were not influenced by whether the prime and adapting stimulus were the same age or different age as the test face. Collectively, our findings suggest that humans have one common mental representation for a familiar face (e.g., Paul McCartney) that incorporates visual changes across decades, rather than multiple age-specific representations. These findings make novel predictions for state-of-the-art algorithms (e.g., Deep Convolutional Neural Networks).

Becoming Familiar With a Newly Encountered Face: Evidence of an Own-Race Advantage.

Adults' ability to match identity in images of unfamiliar faces is impaired for other- compared with own-race faces; their ability to match identity in images of familiar faces is independent of face race. Exposure to within-person variability in appearance plays a key role in face learning. Past research suggests that children need exposure to higher levels of variability than adults to learn a new face-a difference that has been attributed to experience. We predicted that adults' limited experience with other-race faces would result in their needing exposure to higher levels of variability when learning other- compared with own-race faces. We introduced adults to four new identities (two own-race; two other-race) in one of the three conditions: a single image, a low-variability video (filmed on 1 day), or a high-variability video (filmed across 3 days). Adults' ability to recognize new instances of learned identities improved in the low-variability condition for own-race faces but only in the high-variability condition for other-race faces. We discuss learning mechanisms that might drive this difference-a difference we attribute to experience.

How does a newly encountered face become familiar? The effect of within-person variability on adults' and children's perception of identity.

Adults and children aged 6years and older easily recognize multiple images of a familiar face, but often perceive two images of an unfamiliar face as belonging to different identities. Here we examined the process by which a newly encountered face becomes familiar, defined as accurate recognition of multiple images that capture natural within-person variability in appearance. In Experiment 1 we examined whether exposure to within-person variability in appearance helps children learn a new face. Children aged 6-13years watched a 10-min video of a woman reading a story; she was filmed on a single day (low variability) or over three days, across which her appearance and filming conditions (e.g., camera, lighting) varied (high variability). After familiarization, participants sorted a set of images comprising novel images of the target identity intermixed with distractors. Compared to participants who received no familiarization, children showed evidence of learning only in the high-variability condition, in contrast to adults who showed evidence of learning in both the low- and high-variability conditions. Experiment 2 highlighted the efficiency with which adults learn a new face; their accuracy was comparable across training conditions despite variability in duration (1 vs. 10min) and type (video vs. static images) of training. Collectively, our findings show that exposure to variability leads to the formation of a robust representation of facial identity, consistent with perceptual learning in other domains (e.g., language), and that the development of face learning is protracted throughout childhood. We discuss possible underlying mechanisms.

Mechanism of cell death induced by cis-3, 4', 5-trimethoxy-3'-aminostilbene in ovarian cancer.

OBJECTIVE: Stilbene derivative, cis-3, 4', 5-trimethoxy-3'-aminostilbene (stilbene 5c), is highly potent to induce cell death in ovarian cancer cells. This study is to investigate its mechanism to induce cell death. METHODS: UCI101 ovarian cancer cells were used for this study. Cell death was analyzed by Alamar blue staining. Cell cycle was analyzed by flow cytometry after PI staining. Mitochondrial potential and reactive oxygen species were determined by MitoTracker green and DCF-DA, respectively. Immunofluorescent staining was done with tubulin antibody following by confocal microscope examination. Cell lysates were collected after treatment with stilbene 5c for Western blotting analysis of various cell cycle regulators and signal transduction mediators. RESULTS: Stilbene-treated cells die in both cell cycle-dependent and -independent pathways. Low concentration (30 nM) induces cell death without cell cycle arrest. This process involves disruption of mitochondrial potential and production of ROS by a Bcl-2-independent pathway. Higher concentration of stilbene 5c arrests cell cycle in G(2)/M phase, which is supported by dephosphorylation of Cdc2 and Cdc25C, and transiently elevation of spindle checkpoint BubR1. Although phosphorylation of Chk1 and Chk2 both increases after treatment, loss of Chk1 suppresses, whereas loss of Chk2 enhances, stilbene 5c-induced cell death. Phosphorylation of Akt and Stat3, but not MAPK, is suppressed after stilbene 5c treatment. CONCLUSION: These studies provide a mechanistic insight in using stilbenes in ovarian cancer. Stilbenes could be potentially useful agents for ovarian cancer therapy and induce cell death through mitochondrial damage and cell cycle arrest.