Jose C Principe

Cortical Ensemble Adaptation to Represent Velocity of an Artificial Actuator Controlled by a Brain-Machine Interface

Miriam Zacksenhouse, Mikhail A Lebedev, Joseph E O'Doherty, 2005, The Journal of Neuroscience.

Predictability Analysis for an Automated Seizure Prediction Algorithm

Deng-Shan Shiau, Jose C Principe, J Chris Sackellares, 2006, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.

Monte Carlo point process estimation of electromyographic envelopes from motor cortical spikes for brain–machine interfaces

Shaomin Zhang, Qiaosheng Zhang, Xiaoxiang Zheng, 2015, Journal of neural engineering.

Probability Density Rank-Based Quantization for Convex Universal Learning Machines

Nanning Zheng, Badong Chen, Yuantao Gu, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Representing and decomposing neural potential signals

Jose C Principe, Austin J Brockmeier, J. Príncipe, 2015, Current Opinion in Neurobiology.

Image construction methods for phased array magnetic resonance imaging

Deniz Erdogmus, Rui Yan, Jose C Principe, 2004, Journal of magnetic resonance imaging : JMRI.

Unsupervised decoding of spinal motor neuron spike trains for estimating hand kinematics following targeted muscle reinnervation

Rizwan Bashirullah, Ivan Vujaklija, Dario Farina, 2019 .

Instantaneous estimation of motor cortical neural encoding for online brain–machine interfaces

Yiwen Wang, Jose C Principe, J. Príncipe, 2010, Journal of neural engineering.

Modulation of virtual arm trajectories via microstimulation in a spiking model of sensorimotor cortex

Kan Li, William W Lytton, Jose C Principe, 2014, BMC Neuroscience.

Special issue on information theoretic learning.

Erkki Oja, Andrzej Cichocki, Deniz Erdogmus, 2004, IEEE transactions on neural networks.