Face processing mechanisms are tuned to specific low-level features including mid-range spatial frequencies and horizontal orientation energy. Behaviorally, adult observers are more effective at face recognition tasks when these information channels are available. Neural responses to face images also reflect these information biases: Face-sensitive ERP components respond preferentially to face images that contain horizontal orientation energy. How does neural tuning of face representations to horizontal information develop? Behavioral results show that this information bias increases over time such that younger children have a reduced bias favoring horizontally-filtered faces that increases with age. In the present study, we chose to investigate how neural sensitivity to these low-level features develops in the same age range, using ERP as a means of studying children and adults. Specifically, we examined how both face-sensitive ERP components (the P100 and N170) changed their responses to faces and non-faces as a function of age and orientation energy. Briefly, we found that the latency of the P100 and N170 component across age groups was consistent with the gradual emergence of a bias favoring horizontal orientation energy during middle childhood. The amplitude of the N170 component, however, exhibited a more complicated developmental profile that does not easily map onto previous behavioral results obtained from children in the same age ranges.
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RSC Adv
January 2025
Institute of Theoretical and Applied Research, Duy Tan University Ha Noi 100000 Vietnam
In this work, Ge vacancies and doping with transition metals (Mn and Fe) are proposed to modulate the electronic and magnetic properties of GeP monolayers. A pristine GeP monolayer is a non-magnetic two-dimensional (2D) material, exhibiting indirect gap semiconductor behavior with an energy gap of 1.34(2.
View Article and Find Full Text PDFNano Converg
January 2025
Department of Physics, Yonsei University, Seoul, 03722, Republic of Korea.
Two-dimensional halide perovskites are attracting attention due to their structural diversity, improved stability, and enhanced quantum efficiency compared to their three-dimensional counterparts. In particular, Dion-Jacobson (DJ) phase perovskites exhibit superior structural stability compared to Ruddlesden-Popper phase perovskites. The inherent quantum well structure of layered perovskites leads to highly anisotropic charge transport and optical properties.
View Article and Find Full Text PDFJ Chem Theory Comput
January 2025
Computational Chemistry and Molecular Biophysics Section, Molecular Targets and Medications Discovery Branch, National Institute on Drug Abuse - Intramural Research Program, National Institutes of Health, Baltimore, Maryland 21224, United States.
We have developed a method that uses energy landscapes of unbound and bound ligands to compute reorganization free energies for end-point binding free-energy calculations. The method is applied to our previous simulations of fentanyl derivatives bound to the μ opioid receptor in different orientations. Whereas the mean interaction energy provides an ambiguous ranking of binding poses, interaction entropy and ligand reorganization strongly penalize geometric decoys such that native poses observed in CryoEM structures are best ranked.
View Article and Find Full Text PDFAngew Chem Int Ed Engl
January 2025
Nankai University, School of Materials Science and Engineering, National Institute for Advanced Materials, TKL of Metal and Molecule-Based Material Chemistry, CHINA.
Efficient utilization of solar energy is widely regarded as a crucial solution to addressing the energy crisis and reducing reliance on fossil fuels. Coupling photothermal and photochemical conversion can effectively improve solar energy utilization yet remains challenging. Here, inspired by the photosynthesis system in green plants, we report herein an artificial solar energy converter (ASEC) composed of light-harvesting units as solar collector and oriented ionic hydrophilic channels as reactors and transporters.
View Article and Find Full Text PDFJ Chem Theory Comput
January 2025
Department of Biology, Chemistry and Pharmacy, Freie Universität Berlin, Arnimallee 22, 14195 Berlin, Germany.
This paper presents a grid-based approach to model molecular association processes as an alternative to sampling-based Markov models. Our method discretizes the six-dimensional space of relative translation and orientation into grid cells. By discretizing the Fokker-Planck operator governing the system dynamics via the square-root approximation, we derive analytical expressions for the transition rate constants between grid cells.
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