Area of research
Cognitive Neuroscience · Cellular and Molecular Neuroscience
Research interest
Research interests include EEG and Brain-Computer Interfaces, Neural dynamics and brain function, Neuroscience and Neural Engineering, and Advanced Memory and Neural Computing.
Evolving Applications, Technological Challenges and Future Opportunities in Neuromodulation: Proceedings of the Fifth Annual Deep Brain Stimulation Think Tank
Long-term stability of neural signals from microwire arrays implanted in common marmoset motor cortex and striatum
Feedback for reinforcement learning based brain–machine interfaces using confidence metrics
Abiotic-biotic characterization of Pt/Ir microelectrode arrays in chronic implants
Understanding Therapeutic Benefits of Overground Bionic Ambulation: Exploratory Case Series in Persons With Chronic, Complete Spinal Cord Injury
Electrode impedance analysis of chronic tungsten microwire neural implants: understanding abiotic vs. biotic contributions
Using Reinforcement Learning to Provide Stable Brain-Machine Interface Control Despite Neural Input Reorganization
Midcervical neuronal discharge patterns during and following hypoxia
A confidence metric for using neurobiological feedback in actor-critic reinforcement learning based brain-machine interfaces
A Tensor-Product-Kernel Framework for Multiscale Neural Activity Decoding and Control
An adaptive brain actuated system for augmenting rehabilitation
Intraspinal transplantation and modulation of donor neuron electrophysiological activity
Towards autonomous neuroprosthetic control using Hebbian reinforcement learning
A Highly Compliant Serpentine Shaped Polyimide Interconnect for Front-End Strain Relief in Chronic Neural Implants
Comprehensive characterization and failure modes of tungsten microwire arrays in chronic neural implants
Quantifying long-term microelectrode array functionality using chronic<i>in vivo</i>impedance testing
Adaptive Inverse Control of Neural Spatiotemporal Spike Patterns With a Reproducing Kernel Hilbert Space (RKHS) Framework
Brain-machine interface control of a robot arm using actor-critic rainforcement learning
Electrode Failure: Tissue, Electrical, and Material Responses