Neural activity

Hidden Brain State-based Internal Evaluation Using Kernel Inverse Reinforcement Learning in Brain-machine Interfaces

Hidden Brain State-based Internal Evaluation Using Kernel Inverse Reinforcement Learning in Brain-machine Interfaces 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Reinforcement learning (RL)-based brain machine interfaces (BMIs) assist paralyzed people in controlling neural prostheses without the need for real limb movement as supervised signals. The design of reward signal significantly… read more

The Neural Basis of the Effect of Transcutaneous Auricular Vagus Nerve Stimulation on Emotion Regulation Related Brain Regions: An rs-fMRI Study

The Neural Basis of the Effect of Transcutaneous Auricular Vagus Nerve Stimulation on Emotion Regulation Related Brain Regions: An rs-fMRI Study 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Transcutaneous auricular vagus nerve stimulation (taVNS) is a promising neurostimulation approach for emotion regulation. This research aimed to clarify the underlying neural basis responsible for taVNS’s impact on emotional regulation… read more

Spatiotemporal Dynamics of Periodic and Aperiodic Brain Activity Under Peripheral Nerve Stimulation With Acupuncture

Spatiotemporal Dynamics of Periodic and Aperiodic Brain Activity Under Peripheral Nerve Stimulation With Acupuncture 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Brain activities are a mixture of periodic and aperiodic components, manifesting in the power spectral density (PSD) as rhythmic oscillations with spectral peaks and broadband fluctuations. Periodic oscillatory properties of… read more

Development and Evaluation of a Real-Time Phase-Triggered Stimulation Algorithm for the CorTec Brain Interchange

Development and Evaluation of a Real-Time Phase-Triggered Stimulation Algorithm for the CorTec Brain Interchange 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
With the development and characterization of biomarkers that may reflect neural network state as well as a patient’s clinical deficits, there is growing interest in more complex stimulation designs. While… read more