Justin C. Sanchez

According to our database1, Justin C. Sanchez authored at least 48 papers between 2002 and 2015.

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

Timeline

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On csauthors.net:

Bibliography

2015
Kernel Temporal Differences for Neural Decoding.
Comput. Intell. Neurosci., 2015

2014
A Tensor-Product-Kernel Framework for Multiscale Neural Activity Decoding and Control.
Comput. Intell. Neurosci., 2014

2013
Feature extraction and unsupervised classification of neural population reward signals for reinforcement based BMI.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

A new method of concurrently visualizing states, values, and actions in reinforcement based brain machine interfaces.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012
Comprehensive characterization of tungsten microwires in chronic neurocortical implants.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Brain-machine interface control of a robot arm using actor-critic rainforcement learning.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Decoding stimuli from multi-source neural responses.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
Guest Editorial Special Issue on Brain-Machine Interface.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2011

An adaptive decoder from spike trains to micro-stimulation using kernel least-mean-squares (KLMS).
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

Efficient temporal decomposition of local field potentials.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

Stochastic kernel temporal difference for reinforcement learning.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

Coupling biotic and abiotic metrics to create a testbed for predicting neural electrode performance.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Reinforcement learning via kernel temporal difference.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2009
Coadaptive Brain-Machine Interface via Reinforcement Learning.
IEEE Trans. Biomed. Eng., 2009

Ascertaining neuron importance by information theoretical analysis in motor Brain-Machine Interfaces.
Neural Networks, 2009

Exploiting co-adaptation for the design of symbiotic neuroprosthetic assistants.
Neural Networks, 2009

Mapping broadband electrocorticographic recordings to two-dimensional hand trajectories in humans: Motor control features.
Neural Networks, 2009

Sequential Monte Carlo Point-Process Estimation of Kinematics from Neural Spiking Activity for Brain-Machine Interfaces.
Neural Comput., 2009

Prerequesites for Symbiotic Brain-Machine Interfaces.
Proceedings of the IEEE International Conference on Systems, 2009

A Biphasic Integrate-and-fire System.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2009), 2009

Selecting neural subsets for kinematics decoding by information theoretical analysis in motor Brain Machine Interfaces.
Proceedings of the International Joint Conference on Neural Networks, 2009

Development of Symbiotic Brain-Machine Interfaces Using a Neurophysiology Cyberworkstation.
Proceedings of the Human-Computer Interaction. Novel Interaction Methods and Techniques, 2009

2008
Technology and Signal Processing for Brain-Machine Interfaces.
IEEE Signal Process. Mag., 2008

Pulse-based signal compression for implanted neural recording systems.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2008), 2008

2007
Brain-Machine Interface Engineering
Synthesis Lectures on Biomedical Engineering, Morgan & Claypool Publishers, ISBN: 978-3-031-01621-9, 2007

Real time input subset selection for linear time-variant MIMO systems.
Optim. Methods Softw., 2007

Self-organizing maps with dynamic learning for signal reconstruction.
Neural Networks, 2007

Florida Wireless Implantable Recording Electrodes (FWIRE) for Brain Machine Interfaces.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2007), 2007

A Monte Carlo Sequential Estimation of Point Process Optimum Filtering for Brain Machine Interfaces.
Proceedings of the International Joint Conference on Neural Networks, 2007

An Associative Memory Readout in ESN for Neural Action Potential Detection.
Proceedings of the International Joint Conference on Neural Networks, 2007

Hierarchal Decomposition of Neural Data using Boosted Mixtures of Hidden Markov Chains and its application to a BMI.
Proceedings of the International Joint Conference on Neural Networks, 2007

Towards Real-Time Distributed Signal Modeling for Brain-Machine Interfaces.
Proceedings of the Computational Science, 2007

2006
Arm Motion Reconstruction via Feature Clustering in Joint Angle Space.
Proceedings of the International Joint Conference on Neural Networks, 2006

A New Architecture for Deriving Dynamic Brain-Machine Interfaces.
Proceedings of the Computational Science, 2006

Spike Sorting Using non Parametric Clustering VIA Cauchy Schwartz PDF Divergence.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Analysis of the Correlation between Local Field Potentials and Neuronal Firing Rate in the Motor Cortex.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

Analysis of Amplitude Modulated Control Features for ECoG Neuroprosthetics.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

Design and Fabrication of a Flexible Substrate Microelectrode Array for Brain Machine Interfaces.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

Gravity Transform for Input Conditioning in Brain Machine Interfaces.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

Improved Linear BMI Systems via Population Averaging.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

Neural Signal Sampling via the Low Power Wireless Pico System.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

2005
Determining Patterns in Neural Activity for Reaching Movements Using Nonnegative Matrix Factorization.
EURASIP J. Adv. Signal Process., 2005

Learning mappings in brain machine interfaces with echo state networks.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
Ascertaining the importance of neurons to develop better brain-machine interfaces.
IEEE Trans. Biomed. Eng., 2004

2003
Divide-and-conquer approach for brain machine interfaces: nonlinear mixture of competitive linear models.
Neural Networks, 2003

2002
Input-output mapping performance of linear and nonlinear models for estimating hand trajectories from cortical neuronal firing patterns.
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

Modified Kalman filter based method for training state-recurrent multilayer perceptrons.
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

A recursive Renyi's entropy estimator.
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002


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