Byron M. Yu

Affiliations:
  • Carnegie Mellon University, Pittsburgh, USA


According to our database1, Byron M. Yu authored at least 22 papers between 2005 and 2017.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

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Bibliography

2017
Adaptive stimulus selection for optimizing neural population responses.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Distance Covariance Analysis.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Scaling Properties of Dimensionality Reduction for Neural Populations and Network Models.
PLoS Comput. Biol., 2016

Stimulus-Driven Population Activity Patterns in Macaque Primary Visual Cortex.
PLoS Comput. Biol., 2016

2015
Extracting Low-Dimensional Latent Structure from Time Series in the Presence of Delays.
Neural Comput., 2015

2014
Neural constraints on learning.
Nat., 2014

Extracting Latent Structure From Multiple Interacting Neural Populations.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Deterministic Symmetric Positive Semidefinite Matrix Completion.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013
Learning an Internal Dynamics Model from Control Demonstration.
Proceedings of the 30th International Conference on Machine Learning, 2013

2012
Internal models engaged by brain-computer interface control.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

A brain machine interface control algorithm designed from a feedback control perspective.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

DataHigh: Graphical user interface for visualizing and interacting with high-dimensional neural activity.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
Dynamical segmentation of single trials from population neural data.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Empirical models of spiking in neural populations.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2008
Signal Processing Challenges for Neural Prostheses.
IEEE Signal Process. Mag., 2008

Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

A factor-analysis decoder for high-performance neural prostheses.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Neural Decoding of Movements: From Linear to Nonlinear Trajectory Models.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

2006
Increasing the Performance of Cortically-Controlled Prostheses.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

Optimal Target Placement for Neural Communication Prostheses.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

2005
Extracting Dynamical Structure Embedded in Neural Activity.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005


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