The two visual pathways model posits that visual information is processed through two distinct cortical systems: The ventral pathway promotes visual recognition, while the dorsal pathway supports visuomotor control. Recent evidence suggests the dorsal pathway is also involved in shape processing and may contribute to object perception, but it remains unclear whether this sensitivity is independent of attentional mechanisms that were localized to overlapping cortical regions. To address this question, we conducted two fMRI experiments that utilized different parametric scrambling manipulations in which human participants viewed novel objects in different levels of scrambling and were instructed to attend to either the object or to another aspect of the image (e.g. color of the background). Univariate and multivariate analyses revealed that the large-scale organization of shape selectivity along the dorsal and ventral pathways was preserved regardless of the focus of attention. Attention did modulate shape sensitivity, but these effects were similar across the two pathways. These findings support the idea that shape processing is at least partially dissociable from attentional processes and relies on a distributed set of cortical regions across the visual pathways.
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http://dx.doi.org/10.1093/cercor/bhae221 | DOI Listing |
Phys Rev Lett
December 2024
Department of Physics and Astronomy, University of Nebraska, Lincoln, Nebraska 68588, USA.
Negative capacitance (NC) effects in ferroelectrics can potentially break fundamental limits of power dissipation known as "Boltzmann tyranny." However, the origin of transient NC of ferroelectrics, which is attributed to two different mechanisms involving free-energy landscape and nucleation, is under intense debate. Here, we report the coexistence of transient NC and an S-shaped anomaly during the switching of ferroelectric hexagonal ferrites capacitor in an RC circuit.
View Article and Find Full Text PDFJ Am Chem Soc
January 2025
College of Engineering and Applied Sciences, Jiangsu Key Laboratory of Artificial Functional Materials, National Laboratory of Solid State Microstructures, Collaborative Innovation Centre of Advanced Microstructures, Nanjing University, Nanjing 210093, P. R. China.
The rapid advancements in 3C electronic devices necessitate an increase in the charge cutoff voltage of LiCoO to unlock a higher energy density that surpasses the currently available levels. However, the structural devastation and electrochemical decay of LiCoO are significantly exacerbated, particularly at ≥4.5 V, due to the stress concentration caused by more severe lattice expansion and shrinkage, coupled with heterogeneous Li intercalation/deintercalation reactions.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Nutrition and Food Science, School of Arts and Sciences, Lebanese American University, Byblos, Lebanon.
University students are at a pivotal stage of shaping cancer risk factors. Little is known about their dietary behavior in Lebanon, a country heavily burdened by cancer. This cross-sectional study assessed the dietary knowledge of and adherence to cancer prevention guidelines among university students in Beirut, Lebanon.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
January 2025
Centre for Brain and Cognition, Computational Neuroscience Group, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona 08018, Spain.
A fundamental topological principle is that the container always shapes the content. In neuroscience, this translates into how the brain anatomy shapes brain dynamics. From neuroanatomy, the topology of the mammalian brain can be approximated by local connectivity, accurately described by an exponential distance rule (EDR).
View Article and Find Full Text PDFPLoS One
January 2025
Department of Computer Science, National Textile University, Faisalabad, Pakistan.
Accurate diagnosis of pancreatic cancer using CT scan images is critical for early detection and treatment, potentially saving numerous lives globally. Manual identification of pancreatic tumors by radiologists is challenging and time-consuming due to the complex nature of CT scan images and variations in tumor shape, size, and location of the pancreatic tumor also make it challenging to detect and classify different types of tumors. Thus, to address this challenge we proposed a four-stage framework of computer-aided diagnosis systems.
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