scholarly journals Adaptive Coding and Face Recognition

2017 ◽  
Vol 26 (3) ◽  
pp. 218-224 ◽  
Author(s):  
Gillian Rhodes

Face adaptation generates striking face aftereffects, but is this adaptation useful? The answer appears to be yes, with several lines of evidence suggesting that it contributes to our face-recognition ability. Adaptation to face identity is reduced in a variety of clinical populations with impaired face recognition. In addition, individual differences in face adaptation are linked to face-recognition ability in typical adults. People who adapt more readily to new faces are better at recognizing faces. This link between adaptation and recognition holds for both identity and expression recognition. Adaptation updates face norms, which represent the typical or average properties of the faces we experience. By using these norms to code how faces differ from average, the visual system can make explicit the distinctive information that we need to recognize faces. Thus, adaptive norm-based coding may help us to discriminate and recognize faces despite their similarity as visual patterns.

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Kaitlyn Turbett ◽  
Romina Palermo ◽  
Jason Bell ◽  
Jessamy Burton ◽  
Linda Jeffery

AbstractSerial dependence is a perceptual bias where current perception is biased towards prior visual input. This bias occurs when perceiving visual attributes, such as facial identity, and has been argued to play an important functional role in vision, stabilising the perception of objects through integration. In face identity recognition, this bias could assist in building stable representations of facial identity. If so, then individual variation in serial dependence could contribute to face recognition ability. To investigate this possibility, we measured both the strength of serial dependence and the range over which individuals showed this bias (the tuning) in 219 adults, using a new measure of serial dependence of facial identity. We found that better face recognition was associated with stronger serial dependence and narrower tuning, that is, showing serial dependence primarily when sequential faces were highly similar. Serial dependence tuning was further found to be a significant predictor of face recognition abilities independently of both object recognition and face identity aftereffects. These findings suggest that the extent to which serial dependence is used selectively for similar faces is important to face recognition. Our results are consistent with the view that serial dependence plays a functional role in face recognition.


2009 ◽  
Vol 34 (1) ◽  
pp. 37-51 ◽  
Author(s):  
Jennifer Y. F. Lau ◽  
Michael Burt ◽  
Ellen Leibenluft ◽  
Daniel S. Pine ◽  
Fruhling Rijsdijk ◽  
...  

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