A review on the computational methods for emotional state estimation from the human EEG
A growing number of affective computing researches recently developed a computer system
that can recognize an emotional state of the human user to establish affective human …
that can recognize an emotional state of the human user to establish affective human …
Kernel methods on spike train space for neuroscience: a tutorial
Over the last decade, several positive-definite kernels have been proposed to treat spike
trains as objects in Hilbert space. However, for the most part, such attempts still remain a …
trains as objects in Hilbert space. However, for the most part, such attempts still remain a …
Point-process nonlinear models with laguerre and volterra expansions: Instantaneous assessment of heartbeat dynamics
In the last decades, mathematical modeling and signal processing techniques have played
an important role in the study of cardiovascular control physiology and heartbeat nonlinear …
an important role in the study of cardiovascular control physiology and heartbeat nonlinear …
Neural control of a tracking task via attention-gated reinforcement learning for brain-machine interfaces
Reinforcement learning (RL)-based brain machine interfaces (BMIs) enable the user to learn
from the environment through interactions to complete the task without desired signals …
from the environment through interactions to complete the task without desired signals …
Quantized attention-gated kernel reinforcement learning for brain–machine interface decoding
F Wang, Y Wang, K Xu, H Li, Y Liao… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
Reinforcement learning (RL)-based decoders in brain-machine interfaces (BMIs) interpret
dynamic neural activity without patients' real limb movements. In conventional RL, the goal …
dynamic neural activity without patients' real limb movements. In conventional RL, the goal …
New perspectives on neuroengineering and neurotechnologies: NSF-DFG workshop report
Goal: To identify and overcome barriers to creating new neurotechnologies capable of
restoring both motor and sensory function in individuals with neurological conditions …
restoring both motor and sensory function in individuals with neurological conditions …
Binless kernel machine: Modeling spike train transformation for cognitive neural prostheses
Modeling spike train transformation among brain regions helps in designing a cognitive
neural prosthesis that restores lost cognitive functions. Various methods analyze the …
neural prosthesis that restores lost cognitive functions. Various methods analyze the …
Computational approaches to decode grasping force and velocity level in upper-limb amputee from intraneural peripheral signals
Objective. Recent results have shown the potentials of neural interfaces to provide sensory
feedback to subjects with limb amputation increasing prosthesis usability. However, their …
feedback to subjects with limb amputation increasing prosthesis usability. However, their …
Tracking fast neural adaptation by globally adaptive point process estimation for brain-machine interface
Brain-machine interfaces (BMIs) help the disabled restore body functions by translating
neural activity into digital commands to control external devices. Neural adaptation, where …
neural activity into digital commands to control external devices. Neural adaptation, where …
Nonlinear modeling of neural interaction for spike prediction using the staged point-process model
Neurons communicate nonlinearly through spike activities. Generalized linear models
(GLMs) describe spike activities with a cascade of a linear combination across inputs, a …
(GLMs) describe spike activities with a cascade of a linear combination across inputs, a …