Long-range cortical synchronization supports abrupt visual learning.

Curr Biol

Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada.

Published: June 2022

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.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.cub.2022.04.029DOI Listing

Publication Analysis

Top Keywords

abrupt learning
8
long-range cortical
4
synchronization
4
cortical synchronization
4
synchronization supports
4
abrupt
4
supports abrupt
4
abrupt visual
4
learning
4
visual learning
4

Similar Publications

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 PDF

Probing Sensorimotor Memory through the Human Speech-Audiomotor System.

J 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 PDF

Difficulties faced by three hospitals evacuated from the urgent protective action planning zone after the 2011 Fukushima Daiichi Nuclear power plant accident.

J 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 PDF

Video Lecture Capture in Pharmacy Education: Insights From the Pandemic Experience.

Cureus

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 PDF

LesionScanNet: dual-path convolutional neural network for acute appendicitis diagnosis.

Health 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.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!