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...

Representation of Internal Speech by Single Neurons in Human Supramarginal Gyrus

Information Science, Artificial Intelligence, Medicine, Neurology,
internal speech   supramarginal gyrus   neural representation   brain-machine interface   tetraplegia   single neuron   speech decoding  

“Internal Speech Representation by Single Neurons in Human Supramarginal Gyrus” Scientific Report Background In recent years, Brain-Machine Interfaces (BMIs) technology has made significant advancements in the field of speech decoding. BMIs enable those who have lost the ability to speak due to disease or injury to communicate again by converting b...

Cortex-wide Topography of 1/f-exponent in Parkinson’s Disease

Cortex-wide Topography of 1/f-exponent in Parkinson’s Disease

Information Science, Computer Science, Artificial Intelligence, Medicine, Neurology, Medical Imaging, Life Sciences, Biophysics,
Parkinson's Disease   Cortical Topography   1/f Exponent   Magnetoencephalogram   Neuronal Activity  

Topographical Map of the 1/f Index in the Whole Brain for Parkinson’s Disease Authors: Pascal Helson, Daniel Lundqvist, Per Svenningsson, Mikkel C. Vinding, Arvind Kumar Research Background Parkinson’s Disease (PD) is a progressive and debilitating brain disorder primarily characterized by motor dysfunction but also affecting perceptual and cogniti...

k-emophone: a mobile and wearable dataset with in-situ emotion, stress, and attention labels

Information Science, Electronic Information, Computer Science, Automation, Artificial Intelligence, Medicine, Psychiatry, Clinical Psychology,
emotion   stress   attention   mobile data   wearable sensors   affective states   multimodal dataset  

Scientific Data Report | K-emophone: A Mobile and Wearable Dataset with On-site Emotion, Stress, and Attention Labels Background With the proliferation of low-cost mobile and wearable sensors, numerous studies have leveraged these devices to track and analyze human mental health, productivity, and behavioral patterns. However, despite the developme...

Deep-Learning-Based Motor Imagery EEG Classification by Exploiting the Functional Connectivity of Cortical Source Imaging

Information Science, Electronic Information, Automation, Artificial Intelligence, Medicine, Neurology, Medical Imaging,
deep learning   motor imagery EEG   cortical source imaging   brain functional connectivity   spatiotemporal features   graph convolutional network  

Deep-learning-based Motor Imagery EEG Classification by Exploiting the Functional Connectivity of Cortical Source Imaging Research Background and Motivation A brain-computer interface (BCI) is a system that directly decodes and outputs brain activity information without relying on related neural pathways and muscles, thereby achieving communication...