A Bicoherence Approach to Analyze Multi-Dimensional Cross-Frequency Coupling in EEG/MEG Data

Medicine, Neurology, Medical Imaging,
Multidimensional Analysis   EEG   MEG   Cross-Frequency Coupling   Statistical Dependencies   Functional Connectivity   Nonlinear Interactions  

Academic News Report on Multidimensional Cross-Frequency Coupling Analysis in EEG/MEG Data In recent years, with the advancement of neuroscience and medical imaging technology, researchers’ exploration of brain functional connectivity has become increasingly in-depth. This report will introduce a scientific research paper on multi-dimensional cross...

Prediction error processing and sharpening of expected information

Prediction error processing and sharpening of expected information

Information Science, Computer Science, Medicine, Neurology, Clinical Psychology, Medical Imaging, Life Sciences, Bioengineering,
Prediction error   Expected information   Cognitive Process   Face Perception   Deep Neural Networks  

Scientific Report Background Introduction Perception and neuronal processing of sensory information are largely influenced by prior expectations. Perception is not merely passive reception, but an active inferential process by combining existing sensory information with prior information based on past experience and current context. The combination...

A GRU-CNN Model for Auditory Attention Detection using Microstate and Recurrence Quantification Analysis

Information Science, Computer Science, Artificial Intelligence, Medicine, Neurology,
auditory attention detection   GRU-CNN   EEG   microstate analysis   machine learning algorithms   multivariate features   recurrence quantification analysis  

Overview and Report: Application of GRU-CNN Model Based on Microstate and Recurrence Quantification Analysis in Auditory Attention Detection Background and Research Motivation Attention, as a cognitive ability, plays a crucial role in the perception process, helping humans to focus on specific objects while ignoring other distractions in a complex ...

Revealing the Mechanisms of Semantic Satiation with Deep Learning Models

Revealing the Mechanisms of Semantic Satiation with Deep Learning Models

Information Science, Computer Science, Artificial Intelligence, Medicine, Neurology, Life Sciences, Biophysics,
Deep Learning   Semantic Satiation   Neural Network   Cognitive Mechanisms   Visual Cortex  

Deep Learning Model Reveals Mechanisms of Semantic Satiation Semantic satiation, the phenomenon where a word or phrase loses its meaning after being repeated many times, is a well-known psychological phenomenon. However, the micro-neural computational principles underlying this mechanism remain unknown. This paper uses a continuous coupled neural n...

Electrophysiological Signatures of Veridical Head Direction in Humans

Electrophysiological Signatures of Veridical Head Direction in Humans

Medicine, Basic Medical Sciences, Neurology, Clinical Psychology, Medical Imaging, Life Sciences, Biophysics,
Navigation   Brain   Electrophysiology   Head direction   Human navigational behavior  

Electrophysiological Signatures of Veridical Head Direction in Humans Navigation is one of the core components of human complex cognition, where head direction information is crucial for positioning oneself in space. However, due to the requirement of having the head fixed in a specific position during most neuroimaging experiments, understanding h...

Brain mechanisms underlying the emotion processing bias in treatment-resistant depression

Medicine, Psychiatry, Neurology, Clinical Psychology, Medical Imaging,
Brain mechanisms   Emotion processing   Treatment-resistant depression   Emotion bias  

Brain Mechanism Study on Emotion Processing Bias in Patients with Highly Treatment-Resistant Depression Background Introduction Depression is one of the mental diseases prevalent in modern society that severely affect individuals’ physical and mental health. According to Beck’s cognitive model, the development and maintenance of depression are larg...