Visual plasticity declines sharply after the critical period, yet we easily learn to recognize new faces and places, even as adults. Such learning is often characterized by a "moment of insight," an abrupt and dramatic improvement in recognition. The mechanisms that support abrupt learning are unknown, but one hypothesis is that they involve changes in synchronization between brain regions. To test this hypothesis, we used a behavioral task in which non-human primates rapidly learned to recognize novel images and to associate them with specific responses. Simultaneous recordings from inferotemporal and prefrontal cortices revealed a transient synchronization of neural activity between these areas that peaked around the moment of insight. Synchronization was strongest between inferotemporal sites that encoded images and reward-sensitive prefrontal sites. Moreover, its magnitude intensified gradually over image exposures, suggesting that abrupt learning is the culmination of a search for informative signals within a circuit linking sensory information to task demands.
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http://dx.doi.org/10.1016/j.cub.2022.04.029 | DOI Listing |
Sci Data
January 2025
Woodwell Climate Research Center, 149 Woods Hole Road, Falmouth, MA, 02540-1644, USA.
Arctic permafrost is undergoing rapid changes due to climate warming in high latitudes. Retrogressive thaw slumps (RTS) are one of the most abrupt and impactful thermal-denudation events that change Arctic landscapes and accelerate carbon feedbacks. Their spatial distribution remains poorly characterised due to time-intensive conventional mapping methods.
View Article and Find Full Text PDFJ Neurophysiol
December 2024
Yale Child Study Center, Yale School of Medicine, Yale University, New Haven, CT, USA.
Our knowledge of human sensorimotor learning and memory is predominantly based on the visuo-spatial workspace and limb movements. Humans also have a remarkable ability to produce and perceive speech sounds. We asked if the human speech-auditory system could serve as a model to characterize retention of sensorimotor memory in a workspace which is functionally independent of the visuo-spatial one.
View Article and Find Full Text PDFJ Radiat Res
December 2024
Department of Radiation Health Management, Fukushima Medical University, School of Medicine, 1 Hikarigaoka, Fukushima-shi, Fukushima 960-1295, Japan.
In radiological disasters, evacuating institutionalized individuals such as hospitalized patients and nursing home residents presents complex challenges. The Fukushima Daiichi Nuclear power plant (FDNPP) accident, triggered by the Great East Japan Earthquake (GEJE), exposed critical issues in evacuation planning. This case series investigates the evacuation difficulties encountered by three hospitals situated 20 to 30 km from the FDNPP following the GEJE and FDNPP accident.
View Article and Find Full Text PDFCureus
November 2024
Department of Pharmaceutical Sciences, College of Pharmacy, QU Health, Qatar University, Doha, QAT.
The COVID-19 pandemic prompted an abrupt and widespread transition to remote learning, compelling higher education institutions to swiftly adjust to novel modalities. This study examines the post-pandemic insights and benefits of technology-enhanced learning (TEL), particularly archived video lecture capture systems, in facilitating undergraduate pharmacy education during and beyond the pandemic. Through a quantitative analysis of archival lecture views, we sought to identify critical elements that enabled a successful transition to remote learning, providing insights into sustainable educational methods for future disruptions.
View Article and Find Full Text PDFHealth Inf Sci Syst
December 2025
Section for Fisheries Technology, Institute of Aquatic Resources, DTU Aqua, Technical University of Denmark, 9850 Hirtshals, Denmark.
Acute appendicitis is an abrupt inflammation of the appendix, which causes symptoms such as abdominal pain, vomiting, and fever. Computed tomography (CT) is a useful tool in accurate diagnosis of acute appendicitis; however, it causes challenges due to factors such as the anatomical structure of the colon and localization of the appendix in CT images. In this paper, a novel Convolutional Neural Network model, namely, LesionScanNet for the computer-aided detection of acute appendicitis has been proposed.
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