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Mirror neurons are a class of neurons that activate both when an individual observes an action and when they perform the same action. This mechanism reveals a fundamental interplay between action understanding and embodied execution,…

Artificial Intelligence · Computer Science 2025-09-26 Wentao Zhu , Zhining Zhang , Yuwei Ren , Yin Huang , Hao Xu , Yizhou Wang

To minimize functional morbidity associated with brain surgery, new preventive approaches (also referred to as "prehabilitation") by using motor-imagery-based computer interfaces (MI-BCIs) can be utilized. To achieve successful MI-BCI…

Neurons and Cognition · Quantitative Biology 2017-08-03 Milena Korostenskaja , Christoph Kapeller , Ki H Lee , Christoph Guger , James Baumgartner , Eduardo M. Castillo

Joint improvisation is observed to emerge spontaneously among humans performing joint action tasks, and has been associated with high levels of movement synchrony and enhanced sense of social bonding. Exploring the underlying cognitive and…

Optimization and Control · Mathematics 2015-12-18 Chao Zhai , Francesco Alderisio , Piotr Slowinski , Krasimira Tsaneva-Atanasova , Mario di Bernardo

Mirror neurons have been observed in the primary motor cortex of primate species, in particular in humans and monkeys. A mirror neuron fires when a person performs a certain action, and also when he observes the same action being performed…

Computer Vision and Pattern Recognition · Computer Science 2016-12-20 Shervin Ardeshir , Krishna Regmi , Ali Borji

This paper studies linear mathematical modeling of brain's cortical dynamics using electroencephalography (EEG) data in an experiment with continuous exogenous input. The EEG data were recorded while participants were seated with their…

Neurons and Cognition · Quantitative Biology 2025-10-06 Sanna Bakels , Mark van de Ruit , Matin Jafarian

Electroencephalography (EEG) signals signals are often used to learn about brain structure and to learn what thinking. EEG signals can be easily affected by external factors. For this reason, they should be applied various pre-process…

Neurons and Cognition · Quantitative Biology 2021-01-26 Enver Kaan Alpturk , Yakup Kutlu

Objective: The Electroencephalogram (EEG) is gaining popularity as a physiological measure for neuroergonomics in human factor studies because it is objective, less prone to bias, and capable of assessing the dynamics of cognitive states.…

Human-Computer Interaction · Computer Science 2023-05-16 Kuan-Jung Chiang , Steven Dong , Chung-Kuan Cheng , Tzyy-Ping Jung

As artificial intelligence (AI) advances toward superhuman capabilities, aligning these systems with human values becomes increasingly critical. Current alignment strategies rely largely on externally specified constraints that may prove…

Artificial Intelligence · Computer Science 2025-11-06 Robyn Wyrick

In this paper we explore the use of electrical biosignals measured on scalp and corresponding to mental relaxation and concentration tasks in order to control an object in a video game. To evaluate the requirements of such a system in terms…

Other Computer Science · Computer Science 2011-11-23 Laurent George , Fabien Lotte , Raquel Viciana Abad , Anatole Lécuyer

Event-related desynchronization and synchronization (ERD/S) and movement-related cortical potential (MRCP) play an important role in brain-computer interfaces (BCI) for lower limb rehabilitation, particularly in standing and sitting.…

The human neuromuscular system consisting of skeletal muscles and neural circuits is a complex system that is not yet fully understood. Surface electromyography (EMG) can be used to study muscle behavior from the outside. Computer…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-07-16 Benjamin Maier

In this paper, we present an EEG study of two music improvisation experiments. Professional musicians with high level of improvisation skills were asked to perform music either according to notes (composed music) or in improvisation. Each…

Neurons and Cognition · Quantitative Biology 2015-06-18 Xiaogeng Wan , Bjorn Cruts , Henrik Jeldtoft Jensen

The neuromagnetic activity (magnetoencephalogram, MEG) from healthy human brain and from an epileptic patient against chromatic flickering stimuli has been earlier analyzed on the basis of a memory functions formalism (MFF). Information…

Medical Physics · Physics 2010-06-29 O. Yu. Panischev , S. A. Demin , J. Bhattacharya

Humans can covertly track the position of an object, even if the object is temporarily occluded. What are the neural mechanisms underlying our capacity to track moving objects when there is no physical stimulus for the brain to track? One…

Neurons and Cognition · Quantitative Biology 2020-11-13 Amanda K. Robinson , Tijl Grootswagers , Sophia M. Shatek , Jack Gerboni , Alex Holcombe , Thomas A. Carlson

A new model is suggested and used to mimic various spatial or temporal designs in biological or non biological formations where the focus is on the normal or irregular electrical signals coming from human heart (ECG) or brain (EEG). The…

Biological Physics · Physics 2008-07-08 Caglar Tuncay

Generally, people behave in social dilemmas such as proself and prosocial. However, inside social groups, people have a tendency to choose prosocial alternatives due to in-group favoritism. The bioelectrical activity of the human brain…

Extensive experiments suggest that motor coordination among human participants may contribute to social affinity and emotional attachment, which has great potential in the clinical treatment of social disorders or schizophrenia. Mirror game…

Human-Computer Interaction · Computer Science 2024-10-01 Bowen Guo , Chao Zhai

The mirror game has been recently proposed as a simple, yet powerful paradigm for studying interpersonal interactions. It has been suggested that a virtual partner able to play the game with human subjects can be an effective tool to affect…

Optimization and Control · Mathematics 2015-09-22 Chao Zhai , Francesco Alderisio , Piotr Slowinski , Krasimira Tsaneva-Atanasova , Mario di Bernardo

Accurate and robust recording and decoding from the central nervous system (CNS) is essential for advances in human-machine interfacing. However, technologies used to directly measure CNS activity are limited by their resolution,…

Neurons and Cognition · Quantitative Biology 2025-09-19 Jaime Ibáñez , Blanka Zicher , Etienne Burdet , Stuart N. Baker , Carsten Mehring , Dario Farina

Subcortical structures play a critical role in brain function. However, options for assessing electrophysiological activity in these structures are limited. Electromagnetic fields generated by neuronal activity in subcortical structures can…

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