AIMC Topic: Evoked Potentials
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Robust asynchronous control of ERP-Based brain-Computer interfaces using deep learning.
Computer methods and programs in biomedicine
Jan 7, 2022
BACKGROUND AND OBJECTIVE: Brain-computer interfaces (BCI) based on event-related potentials (ERP) are a promising technology for alternative and augmented communication in an assistive context. However, most approaches to date are synchronous, requir...
Identification of an early-stage Parkinson's disease neuromarker using event-related potentials, brain network analytics and machine-learning.
PloS one
Jan 7, 2022
OBJECTIVE: The purpose of this study is to explore the possibility of developing a biomarker that can discriminate early-stage Parkinson's disease from healthy brain function using electroencephalography (EEG) event-related potentials (ERPs) in combi...
Neural correlates of word representation vectors in natural language processing models: Evidence from representational similarity analysis of event-related brain potentials.
Psychophysiology
Nov 24, 2021
Natural language processing models based on machine learning (ML-NLP models) have been developed to solve practical problems, such as interpreting an Internet search query. These models are not intended to reflect human language comprehension mechani...
I, robot: depression plays different roles in human-human and human-robot interactions.
Translational psychiatry
Aug 21, 2021
Socially engaging robots have been increasingly applied to alleviate depressive symptoms and to improve the quality of social life among different populations. Seeing that depression negatively influences social reward processing in everyday interact...
A deep learning method for single-trial EEG classification in RSVP task based on spatiotemporal features of ERPs.
Journal of neural engineering
Aug 13, 2021
. Single-trial electroencephalography (EEG) classification is of great importance in the rapid serial visual presentation (RSVP) task. Convolutional neural networks (CNNs), as one of the mainstream deep learning methods, have been proven to be effect...
A win-win situation: Does familiarity with a social robot modulate feedback monitoring and learning?
Cognitive, affective & behavioral neuroscience
Apr 6, 2021
Social species rely on the ability to modulate feedback-monitoring in social contexts to adjust one's actions and obtain desired outcomes. When being awarded positive outcomes during a gambling task, feedback-monitoring is attenuated when strangers a...
ERP markers of action planning and outcome monitoring in human - robot interaction.
Acta psychologica
Dec 4, 2020
The present study aimed to examine event-related potentials (ERPs) of action planning and outcome monitoring in human-robot interaction. To this end, participants were instructed to perform costly actions (i.e. losing points) to stop a balloon from i...
EEG based functional connectivity analysis of human pain empathy towards humans and robots.
Neuropsychologia
Nov 25, 2020
Humans can show emotional reactions toward humanoid robots, such as empathy. Previous neuroimaging studies have indicated that neural responses of empathy for others' pain are modulated by an early automatic emotional sharing and a late controlled co...
Predicting memory from study-related brain activity.
Journal of neurophysiology
Oct 21, 2020
To isolate brain activity that may reflect effective cognitive processes during the study phase of a memory task, cognitive neuroscientists commonly contrast brain activity during study of later-remembered versus later-forgotten items. This "subseque...
Person identification from EEG using various machine learning techniques with inter-hemispheric amplitude ratio.
PloS one
Sep 11, 2020
Association between electroencephalography (EEG) and individually personal information is being explored by the scientific community. Though person identification using EEG is an attraction among researchers, the complexity of sensing limits using su...
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