English
Related papers

Related papers: tACS Facilitates Flickering Driving by Boosting St…

200 papers

Cortical neurons emit seemingly erratic trains of action potentials or "spikes," and neural network dynamics emerge from the coordinated spiking activity within neural circuits. These rich dynamics manifest themselves in a variety of…

Neurons and Cognition · Quantitative Biology 2022-04-01 Braden A. W. Brinkman , Han Yan , Arianna Maffei , Il Memming Park , Alfredo Fontanini , Jin Wang , Giancarlo La Camera

Brain oscillations exhibit long-range temporal correlations (LRTCs), which reflect the regularity of their fluctuations: low values representing more random (decorrelated) while high values more persistent (correlated) dynamics. LRTCs…

Neurons and Cognition · Quantitative Biology 2018-02-05 Tomas Ros , Paul Frewen , Jean Theberge , Rosemarie Kluetsch , Andreas Mueller , Gian Candrian , Rakesh Jetly , Patrik Vuilleumier , Ruth Lanius

Steering feedback plays a substantial role in the validity of driving simulators for the virtual development of modern vehicles. Established objective steering characteristics typically assess the feedback behavior in the frequency range of…

Systems and Control · Electrical Eng. & Systems 2025-04-16 Maximilian Böhle , Bernhard Schick , Steffen Müller

The reconstruction of brain neural network connections occurs not only during the infancy and early childhood stages of brain development, but also in patients with cognitive impairment in middle and old age under the therapy with…

Neurons and Cognition · Quantitative Biology 2024-03-12 Xuan Zhang , Duoyu Feng , Djibrina Barry , Jiajia Li

Driver distraction is a well-known cause for traffic collisions worldwide. Studies have indicated that shared steering control, which actively provides haptic guidance torque on the steering wheel, effectively improves the performance of…

Systems and Control · Electrical Eng. & Systems 2021-06-08 Zheng Wang , Satoshi Suga , Edric John Cruz Nacpil , Bo Yang , Kimihiko Nakano

Despite a rise in the use of "learning by doing" pedagogical methods in praxis, little is known as to how these methods improve learning outcomes. Here we show that visual association cortex causally contributes to performance benefits of a…

Neurons and Cognition · Quantitative Biology 2019-10-17 Brian Mathias , Leona Sureth , Gesa Hartwigsen , Manuela Macedonia , Katja M. Mayer , Katharina von Kriegstein

This study presents a hierarchical, network-level traffic flow control framework for mixed traffic consisting of Human-driven Vehicles (HVs), Connected and Automated Vehicles (CAVs). The framework jointly optimizes vehicle-level eco-driving…

Machine Learning · Computer Science 2026-02-24 Ziyan Zhang , Changxin Wan , Peng Hao , Kanok Boriboonsomsin , Matthew J. Barth , Yongkang Liu , Seyhan Ucar , Guoyuan Wu

Motor imagery (MI) based brain-computer interfaces (BCIs) enable the direct control of external devices through the imagined movements of various body parts. Unlike previous systems that used fixed-length EEG trials for MI decoding,…

Human-Computer Interaction · Computer Science 2024-12-13 Huanyu Wu , Siyang Li , Dongrui Wu

Understanding how spontaneous brain activity relates to stimulus-driven neural responses is a fundamental challenge in cognitive neuroscience. While task-based functional magnetic resonance imaging (fMRI) captures localized stimulus-evoked…

Neurons and Cognition · Quantitative Biology 2025-09-18 Chuyang Zhou , Ziao Ji , Daochang Liu , Dongang Wang , Chenyu Wang , Chang Xu

Everyday communication is dynamic and multisensory, often involving shifting attention, overlapping speech and visual cues. Yet, most neural attention tracking studies are still limited to highly controlled lab settings, using clean, often…

Signal Processing · Electrical Eng. & Systems 2026-01-22 Johanna Wilroth , Oskar Keding , Martin A. Skoglund , Maria Sandsten , Martin Enqvist , Emina Alickovic

Current studies about motor imagery based rehabilitation training systems for stroke subjects lack an appropriate analytic method, which can achieve a considerable classification accuracy, at the same time detects gradual changes of imagery…

Machine Learning · Statistics 2014-09-19 Hao Zhang , Liqing Zhang

In the context of global urbanization and motorization, traffic congestion has become a significant issue, severely affecting the quality of life, environment, and economy. This paper puts forward a single-agent reinforcement learning…

Machine Learning · Computer Science 2026-01-14 Qiang Li , Jin Niu , Qin Luo , Lina Yu

The non-stationary characteristics of EEG signal and the individual differences of brain-computer interfaces (BCIs) lead to poor performance in the control process of the brain-controlled vehicles (BCVs). In this paper, by combining…

Neurons and Cognition · Quantitative Biology 2024-03-12 Hongguang Pan , Xinyu Yu , Yong Yang

During early development, waves of activity propagate across the retina and play a key role in the proper wiring of the early visual system. During the stage II these waves are triggered by a transient network of neurons, called Starburst…

Neurons and Cognition · Quantitative Biology 2018-12-19 Dora Matzakou-Karvouniari , Lionel Gil , Elaine Orendorff , Olivier Marre , Serge Picaud , Bruno Cessac

The objective of the present work is to measure postural kinematics and power spectral variation from HD-EEG to assess changes in cortical activity during adaptation and habituation to postural perturbation. To evoke proprioceptive postural…

Transcranial magnetic stimulation (TMS) is widely used for understanding brain function in neurologically intact subjects and for the treatment of various disorders. However, the precise neurophysiological effects of TMS at the site of…

Neurons and Cognition · Quantitative Biology 2021-10-27 Farshad Rafiei , Dobromir Rahnev

Stroke is the leading cause of serious and long-term disability worldwide. Some studies have shown that motor imagery (MI) based BCI has a positive effect in poststroke rehabilitation. It could help patients promote the reorganization…

Human-Computer Interaction · Computer Science 2018-05-15 Zhaoyang Qiu , Shugeng Chen , Ian Daly , Jie Jia , Xingyu Wang , Jing Jin

Plasticity after stroke is a complex phenomenon initiated by the functional reorganization of the brain, especially in the perilesional tissue. At macroscales, the reestablishment of segregation within the affected hemisphere and…

Neurons and Cognition · Quantitative Biology 2022-04-26 Catalina Obando , Charlotte Rosso , Joshua Siegel , Maurizio Corbetta , Fabrizio De Vico Fallani

In the present work, electroencephalographic recordings of healthy human participants were performed to study the entrainment of brainwaves using a variety of stimulus. First, periodic entrainment of the brainwaves was studied using two…

Neurons and Cognition · Quantitative Biology 2019-01-04 Richa Phogat , P. Parmananda

Objective. Personalized transcranial electrical stimulation (tES) has gained growing attention due to the substantial inter-individual variability in brain anatomy and physiology. While previous reviews have discussed the physiological…

Neurons and Cognition · Quantitative Biology 2025-11-06 Mo Wang , Kexin Zheng , Yingyue Xin , Xiang Chen , Yiling Liu , Huichun Luo , Jingsheng Tang , Tifei Yuan , Hongkai Wen , Pengfei Wei , Quanying Liu