SISU researcher proves perceptual learning involves changes in cortical networks

ang Fang, a researcher at the Institute of Neurological Management, School of Business and Management in Shanghai International Studies University (SISU), published the paper “Predicting perceptual learning from higher-order cortical processing” as the first author on the Volume 124 of NeuroImage, a top peer-reviewed scientific journal in brain function.

Neuroimaging includes the use of various techniques to either directly or indirectly image the structure, function or pharmacology of the nervous system. It is a relatively new discipline within medicine and neuroscience or psychology.

Wang recorded how average university students’ event-related potential (ERP) changed when they were doing the texture discrimination task (TDT) in a seven-day study process and found that students’ improved behavioral performance can be predicted from the changes of anterior ERP component of subjects before and after learning.

It indicates that “perceptual learning can mainly involve changes in higher-level visual cortex as well as in the neural networks responsible for cognitive functions such as attention and decision making.”

The paper provided neuroimaging evidence for the brain mechanism of human’s learning process, and brought research ideas of management, to study the deep brain mechanism on the basis of human behavior from a management angle, thus to further understand how management works with its physiological basis.

Published by Elsevier and indexed in the Science Citation Index (SCI), NeuroImage has an effectiveness factor of 6.132, as the No.1 journal in neuroimaging. It aims at brain research while spreading the latest research methods of the relationship between structure and function in neuroimaging and the relationship between brain and behavior.

Read the paper at ScienceDirect®: Predicting perceptual learning from higher-order cortical processing