Brain–machine interfaces: closed-loop control in an adaptive system
Brain–machine interfaces (BMIs) promise to restore movement and communication in
people with paralysis and ultimately allow the human brain to interact seamlessly with …
people with paralysis and ultimately allow the human brain to interact seamlessly with …
Pose-and-shear-based tactile servoing
Tactile servoing is an important technique because it enables robots to manipulate objects
with precision and accuracy while adapting to changes in their environments in real-time …
with precision and accuracy while adapting to changes in their environments in real-time …
Measuring instability in chronic human intracortical neural recordings towards stable, long-term brain-computer interfaces
Intracortical brain-computer interfaces (iBCIs) enable people with tetraplegia to gain intuitive
cursor control from movement intentions. To translate to practical use, iBCIs should provide …
cursor control from movement intentions. To translate to practical use, iBCIs should provide …
Data assimilation with hybrid modeling
D Shao, J Chu, L Chen, H Ma - Chaos, Solitons & Fractals, 2023 - Elsevier
Data assimilation plays an important role in both data driven and model driven research.
The celebrated Kalman filter, a typical data assimilation framework, has been widely …
The celebrated Kalman filter, a typical data assimilation framework, has been widely …
Inferring cognitive state underlying conflict choices in verbal Stroop task using heterogeneous input discriminative-generative decoder model
MR Rezaei, H Jeoung, A Gharamani… - Journal of Neural …, 2023 - iopscience.iop.org
Objective. The subthalamic nucleus (STN) of the basal ganglia interacts with the medial
prefrontal cortex (mPFC) and shapes a control loop, specifically when the brain receives …
prefrontal cortex (mPFC) and shapes a control loop, specifically when the brain receives …
Between the buttons: Stress assessment in video games using players' behavioural data
Flow lies at the heart of the interaction between players and video games. It is usually
regarded as the optimal experience blooming in the fragile equilibrium that floats between …
regarded as the optimal experience blooming in the fragile equilibrium that floats between …
Direct discriminative decoder models for analysis of high-dimensional dynamical neural data
With the accelerated development of neural recording technology over the past few
decades, research in integrative neuroscience has become increasingly reliant on data …
decades, research in integrative neuroscience has become increasingly reliant on data …
Cooperative Tracking for WSN with DOA-based Factor Graph Technique
This article proposes a cooperative tracking scheme in wireless sensor networks (WSNs),
which utilizes a direction-of-arrival (DOA)-based factor graph (FG) approach. It focuses on a …
which utilizes a direction-of-arrival (DOA)-based factor graph (FG) approach. It focuses on a …
Reinforcement learning
WQ Yan - Computational Methods for Deep Learning: Theory …, 2023 - Springer
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[Re] The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Non-Gaussian Observation Models
Kalman filters provide a straightforward and interpretable means to estimate hidden or latent
variables, and have found numerous applications in control, robotics, signal processing, and …
variables, and have found numerous applications in control, robotics, signal processing, and …