Antonio Paiva, PhD
Affiliations: | 2004-2008 | ECE | University of Florida, Gainesville, Gainesville, FL, United States |
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Sign in to add mentor| Jose Carlos Principe | grad student | 2008 | UF Gainesville | |
| (Reproducing kernel Hilbert spaces for point processes, with applications to neural activity analysis.) | ||||
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Publications
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| Park IM, Seth S, Paiva ARC, et al. (2013) Kernel methods on spike train space for neuroscience: A tutorial Ieee Signal Processing Magazine. 30: 149-160 |
| Paiva ARC, Park I, Príncipe JAC. (2010) Inner Products for Representation and Learning in the Spike Train Domain Statistical Signal Processing For Neuroscience and Neurotechnology. 265-309 |
| Paiva ARC, Park I, Príncipe JC. (2010) A comparison of binless spike train measures Neural Computing and Applications. 19: 405-419 |
| Wang Y, Paiva AR, Príncipe JC, et al. (2009) Sequential Monte Carlo point-process estimation of kinematics from neural spiking activity for brain-machine interfaces. Neural Computation. 21: 2894-930 |
| Paiva AR, Park I, Príncipe JC. (2009) A reproducing kernel Hilbert space framework for spike train signal processing. Neural Computation. 21: 424-49 |
| Paiva AR, Park I, Sanchez JC, et al. (2008) Peri-event cross-correlation over time for analysis of interactions in neuronal firing. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2008: 1903-6 |
| Park I, Paiva AR, Demarse TB, et al. (2008) An efficient algorithm for continuous time cross correlogram of spike trains. Journal of Neuroscience Methods. 168: 514-23 |
| Xu J, Paiva ARC, Park I, et al. (2008) A Reproducing Kernel Hilbert Space Framework for Information-Theoretic Learning Ieee Transactions On Signal Processing. 56: 5891-5902 |
| Paiva ARC, Park I, Príncipe JC. (2008) Reproducing kernel Hilbert spaces for spike train analysis Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 5212-5215 |
| Cho J, Paiva AR, Kim SP, et al. (2007) Self-organizing maps with dynamic learning for signal reconstruction. Neural Networks : the Official Journal of the International Neural Network Society. 20: 274-84 |