P. Nuyujukian

发表

Neural population dynamics during reaching

Matthew T. Kaufman, K. Shenoy, M. Churchland, 2012, Nature.

A brain machine interface control algorithm designed from a feedback control perspective

John P. Cunningham, Byron M. Yu, Stephen I. Ryu, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Wireless Neural Recording With Single Low-Power Integrated Circuit

R.R. Harrison, R.J. Kier, F. Solzbacher, 2009, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

HermesC: RF wireless low-power neural recording system for freely behaving primates

Stephen I. Ryu, Krishna V. Shenoy, Vikash Gilja, 2008, 2008 IEEE International Symposium on Circuits and Systems.

A TinyOS-enabled MICA2-BasedWireless neural interface

Aleksey Pesterev, Jack W. Judy, Paul Nuyujukian, 2006, IEEE Transactions on Biomedical Engineering.

Neural Population Dynamics Underlying Motor Learning Transfer

K. Shenoy, P. Nuyujukian, S. Ryu, 2018, Neuron.

Clinical translation of a high-performance neural prosthesis

Anish A. Sarma, Brittany L Sorice, Christine H. Blabe, 2015, Nature Medicine.

Neural Population Dynamics Underlying Motor Learning Transfer Highlights

K. Shenoy, P. Nuyujukian, S. Ryu, 2018 .

Neural population dynamics in human motor cortex during movements in people with ALS

Chethan Pandarinath, Vikash Gilja, Emad N Eskandar, 2015, eLife.

A freely-moving monkey treadmill model

Michael J. Black, Boris Murmann, Paul Nuyujukian, 2014, Journal of neural engineering.

Neuroelectrophysiology-Compatible Electrolytic Lesioning

Iliana E. Bray, P. Nuyujukian, S. Clarke, 2022, bioRxiv.

Long-term Stability of Neural Prosthetic Control Signals from Silicon Cortical Arrays in Rhesus Macaque Motor Cortex

Vikash Gilja, Mark M Churchland, John P Cunningham, 2010 .

Neural population dynamics during

John P. Cunningham, Mark M. Churchland, Matthew T. Kaufman, 2012 .

High performance communication by people with paralysis using an intracortical brain-computer interface

Francis R. Willett, Chethan Pandarinath, Paul Nuyujukian, 2017, eLife.

A markerless platform for ambulatory systems neuroscience

Paul Nuyujukian, Michael P. Silvernagel, Alissa S. Ling, 2021, Science Robotics.

Deep posteromedial cortical rhythm in dissociation

L. Luo, K. Deisseroth, P. Nuyujukian, 2020, Nature.

A Brain-Machine Interface Operating with a Real-Time Spiking Neural Network Control Algorithm

Kwabena Boahen, Krishna V. Shenoy, Terrence C. Stewart, 2011, NIPS.

Single-trial dynamics of motor cortex and their applications to brain-machine interfaces

John P. Cunningham, Mark M. Churchland, Stephen I. Ryu, 2015, Nature Communications.

Information Systems Opportunities in Brain–Machine Interface Decoders

Krishna V. Shenoy, David Sussillo, Paul Nuyujukian, 2014, Proceedings of the IEEE.

A High-Performance Neural Prosthesis Enabled by Control Algorithm Design

John P. Cunningham, Mark M. Churchland, Byron M. Yu, 2012, Nature Neuroscience.

A recurrent neural network for closed-loop intracortical brain–machine interface decoders

David Sussillo, Paul Nuyujukian, Jonathan C Kao, 2012, Journal of neural engineering.

Cortical control of a tablet computer by people with paralysis

Chethan Pandarinath, Emad N Eskandar, Beata Jarosiewicz, 2018, PloS one.

Decoding and perturbing decision states in real time

Stephen I. Ryu, Krishna V. Shenoy, William T. Newsome, 2019, Nature.

A high performing brain–machine interface driven by low-frequency local field potentials alone and together with spikes

Paul Nuyujukian, Krishna V Shenoy, Jonathan C Kao, 2015, bioRxiv.

Information Systems Opportunities in Brain-Machine Interface

Krishna V. Shenoy, David Sussillo, Paul Nuyujukian, 2014 .

Feasibility of Automatic Error Detect-and-Undo System in Human Intracortical Brain–Computer Interfaces

Chethan Pandarinath, Leigh R. Hochberg, Krishna V. Shenoy, 2018, IEEE Transactions on Biomedical Engineering.

Performance sustaining intracortical neural prostheses

Paul Nuyujukian, Krishna V Shenoy, Jonathan C Kao, 2014, Journal of neural engineering.

Self-recalibrating classifiers for intracortical brain–computer interfaces

Byron M. Yu, Vikash Gilja, Paul Nuyujukian, 2014, Journal of neural engineering.

A 96-channel full data rate direct neural interface in 0.13µm CMOS

Boris Murmann, Kofi Makinwa, Paul Nuyujukian, 2011, 2011 Symposium on VLSI Circuits - Digest of Technical Papers.

A closed-loop human simulator for investigating the role of feedback control in brain-machine interfaces.

Vikash Gilja, John P Cunningham, Paul Nuyujukian, 2011, Journal of neurophysiology.

Brain-machine interface cursor position only weakly affects monkey and human motor cortical activity in the absence of arm movements

Christine H. Blabe, K. Shenoy, P. Nuyujukian, 2018, Scientific Reports.

Design and validation of a real-time spiking-neural-network decoder for brain–machine interfaces

Kwabena Boahen, Julie Dethier, Paul Nuyujukian, 2013, Journal of neural engineering.

Bi-Fi: An Embedded Sensor/System Architecture for Remote Biological Monitoring

Aleksey Pesterev, Jack W. Judy, Paul Nuyujukian, 2007, IEEE Transactions on Information Technology in Biomedicine.

Comparison of spike sorting and thresholding of voltage waveforms for intracortical brain–machine interface performance

Vikash Gilja, David E Thompson, Paul Nuyujukian, 2015, Journal of neural engineering.

Neural prosthetic systems: Current problems and future directions

John P. Cunningham, Stephen I. Ryu, Krishna V. Shenoy, 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Autonomous head-mounted electrophysiology systems for freely behaving primates

Vikash Gilja, Paul Nuyujukian, Krishna V Shenoy, 2010, Current Opinion in Neurobiology.

A High-Performance Keyboard Neural Prosthesis Enabled by Task Optimization

Stephen I. Ryu, Krishna V. Shenoy, Paul Nuyujukian, 2015, IEEE Transactions on Biomedical Engineering.

Design and validation of a real-time spiking-neural-network decoder for brain--machine interfaces

K. Shenoy, P. Nuyujukian, S. Ryu, 2013 .

A High-Performance Neural Prosthesis Incorporating Discrete State Selection With Hidden Markov Models

Stephen I. Ryu, Krishna V. Shenoy, Paul Nuyujukian, 2017, IEEE Transactions on Biomedical Engineering.

Intention estimation in brain–machine interfaces

Paul Nuyujukian, Krishna V Shenoy, Jonathan C Kao, 2014, Journal of neural engineering.

A Nonhuman Primate Brain–Computer Typing Interface

Stephen I. Ryu, Krishna V. Shenoy, Paul Nuyujukian, 2017, Proceedings of the IEEE.

Hybrid decoding of both spikes and low-frequency local field potentials for brain-machine interfaces

Stephen I. Ryu, Krishna V. Shenoy, Paul Nuyujukian, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Investigating the role of firing-rate normalization and dimensionality reduction in brain-machine interface robustness

Surya Ganguli, Stephen I. Ryu, Krishna V. Shenoy, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Performance Considerations for General-Purpose Typing BCIs, Including the Handwriting BCI

K. Shenoy, P. Nuyujukian, J. Henderson, 2021 .

Long-term stability of neural prosthetic control signals from silicon cortical arrays in rhesus macaque motor cortex

Matthew T. Kaufman, Joline M. Fan, J. Cunningham, 2011, Journal of neural engineering.

Hybrid decoding of both spikes and low-frequency local field potentials for brain-machine interfaces

K. Shenoy, P. Nuyujukian, S. Ryu, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

A recurrent neural network for closed-loop intracortical brain–machine interface decoders

Joline M. Fan, David Sussillo, K. Shenoy, 2012, Journal of neural engineering.

Monkey models for brain-machine interfaces: The need for maintaining diversity

Krishna V. Shenoy, Vikash Gilja, Cynthia A. Chestek, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

A closed-loop human simulator for investigating the role of feedback control in brain-machine interfaces.

J. Cunningham, K. Shenoy, P. Nuyujukian, 2011, Journal of neurophysiology.

role of feedback control in brain-machine interfaces A closed-loop human simulator for investigating the

John P. Cunningham, Vikash Gilja, Cynthia A. Chestek, 2015 .

A Brain Machine Interface Control Algorithm Designed from a Feedback Control Perspective

P. Nuyujukian, V. Gilja, J. P. Cunningham, 2012 .

A Recurrent Neural Network for Closed-loop Intracortical Brain–machine Interface Decoders

David Sussillo, P. Nuyujukian, S. Ryu, 2011 .

A High-Performance Neural Prosthesis Enabled by Control Algorithm Design

Byron M. Yu, Matthew T. Kaufman, Joline M. Fan, 2012, Nature Neuroscience.

Neural population dynamics in human motor cortex during movements in people with ALS

Anish A. Sarma, Brittany L Sorice, K. Shenoy, 2015, eLife.

Self-recalibrating classifiers for intracortical brain–computer interfaces

Byron M. Yu, K. Shenoy, P. Nuyujukian, 2014, Journal of neural engineering.

Design and validation of a real-time spiking-neural-network decoder for brain–machine interfaces

K. Shenoy, P. Nuyujukian, S. Ryu, 2013, Journal of neural engineering.

HermesE: A 96-Channel Full Data Rate Direct Neural Interface in 0.13 $\mu$ m CMOS

Teresa H. Y. Meng, Kofi A. A. Makinwa, Boris Murmann, 2012, IEEE Journal of Solid-State Circuits.