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A comparison of binless spike train measures
- A. Paiva, Il Memming Park, J. Príncipe
- Computer ScienceNeural Computing and Applications
- 1 April 2010
TLDR
A Reproducing Kernel Hilbert Space Framework for Spike Train Signal Processing
- A. Paiva, I. Park, J. Príncipe
- Computer ScienceNeural Computation
- 1 February 2009
TLDR
Sequential Monte Carlo Point-Process Estimation of Kinematics from Neural Spiking Activity for Brain-Machine Interfaces
- Yiwen Wang, A. Paiva, J. Príncipe, Justin C. Sanchez
- Computer ScienceNeural Computation
- 1 October 2009
TLDR
A Reproducing Kernel Hilbert Space Framework for Information-Theoretic Learning
- Jian-Wu Xu, A. Paiva, I. Park, J. Príncipe
- Computer ScienceIEEE Transactions on Signal Processing
- 1 December 2008
TLDR
Nonlinear Component Analysis Based on Correntropy
- Jian-Wu Xu, P. P. Pokharel, A. Paiva, J. Príncipe
- Computer ScienceThe IEEE International Joint Conference on…
- 30 October 2006
TLDR
Kernel Methods on Spike Train Space for Neuroscience: A Tutorial
- Il-Su Park, S. Seth, A. Paiva, Lin Li, J. Príncipe
- Computer ScienceIEEE Signal Processing Magazine
- 24 February 2013
TLDR
Inner products for representation and learning in the spike train domain
- A. Paiva, Il Memming Park, J. Príncipe
- Computer Science
- 2010
Self-organizing maps with dynamic learning for signal reconstruction
- Jeongho Cho, A. Paiva, Sung-Phil Kim, Justin C. Sanchez, J. Príncipe
- Computer ScienceNeural Networks
- 1 March 2007
A Monte Carlo Sequential Estimation for Point Process Optimum Filtering
- Yiwen Wang, A. Paiva, J. Príncipe
- Computer ScienceThe IEEE International Joint Conference on…
- 30 October 2006
TLDR
A fixed point update for kernel width adaptation in information theoretic criteria
- A. Paiva, J. Príncipe
- Computer ScienceIEEE International Workshop on Machine Learning…
- 7 October 2010
TLDR
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