Important social information can be gathered from the direction of another person's gaze, such as their intentions and aspects of the environment that are relevant to those intentions. Previous work has examined the effect of gaze on attention through the gaze-cueing effect: an enhancement of performance in detecting targets that appear where another person is looking. The present study investigated whether the physical self-similarity of a face could increase its impact on attention. Self-similarity was manipulated by morphing participants' faces with those of strangers. The effect of gaze direction on target detection was strongest for faces morphed with the participant's face. The results support previous work suggesting that self-similar faces are processed differently from dissimilar faces. The data also demonstrate that a face's similarity to one's own face influences the degree to which that face guides our attention in the environment.
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http://dx.doi.org/10.1080/17470218.2012.690769 | DOI Listing |
Background: Neurodevelopmental origins of functional variation through the lifespan are acknowledged, but pathways need to be identified. The objectives of the project Set-to-change is to test whether and how early life environmental factors and genetic makeup regulate brain and cognition and its change, as well as neurocognitive plasticity in response to training through the lifespan.
Method: Preliminary analyses for the first months are presented.
AIMS Neurosci
September 2024
Department of Surgical, Medical and Molecular Pathology and Critical Care Medicine, University of Pisa, Pisa, Italy.
Embodiment (the sensation that arises when the properties of an external instrument are processed as if they are the attributes of one's own biological body) and (tele)presence (the sensation of being fully engaged and immersed in a location other than the physical space occupied by one's body) sustain the perception of the physical self and potentially improve performance in teleoperations (a system that enables human intelligence to control robots and requires implementing an effective human-machine interface). Embodiment and presence may be interdependent and influenced by right temporo-parietal junction (rTPJ) activity. We investigated the interplay between embodiment, (tele)presence, and performance in teleoperation, focusing on the role of the rTPJ.
View Article and Find Full Text PDFAccurate identification of community-dwelling older adults at high fall risk can facilitate timely intervention and significantly reduce fall incidents. Analyzing gait and balance capabilities via feature extraction and modeling through sensor-based motion data has emerged as a viable approach for fall risk assessment. However, the existing approaches for extracting key features related to fall risk lack inclusiveness, with limited consideration of the non-linear characteristics of sensor signals, such as signal complexity, self-similarity, and local stability.
View Article and Find Full Text PDFPhys Med Biol
August 2024
Chongqing Engineering Research Center of Medical Electronics and Information Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, People's Republic of China.
Deep learning has markedly enhanced the performance of sparse-view computed tomography reconstruction. However, the dependence of these methods on supervised training using high-quality paired datasets, and the necessity for retraining under varied physical acquisition conditions, constrain their generalizability across new imaging contexts and settings.To overcome these limitations, we propose an unsupervised approach grounded in the deep image prior framework.
View Article and Find Full Text PDFPhys Rev E
June 2024
Department of Chemistry, Princeton University, Princeton, New Jersey 08544, USA; Department of Physics, Princeton University, Princeton, New Jersey 08544, USA; Princeton Institute of Materials, Princeton University, Princeton, New Jersey 08544, USA; and Program in Applied and Computational Mathematics, Princeton University, Princeton, New Jersey 08544, USA.
Hyperuniform point patterns can be classified by the hyperuniformity scaling exponent α>0, that characterizes the power-law scaling behavior of the structure factor S(k) as a function of wave number k≡|k| in the vicinity of the origin, e.g., S(k)∼|k|^{α} in cases where S(k) varies continuously with k as k→0.
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