A modeling paradigm incorporating parametric and non-parametric methods

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn 26 I, Issue , 2004, Pages 647-650

  Song, D ^a   Wang, Z ^a,b   Marmarelis, V Z ^a   Berger, T W ^a,b  

^a University of Southern California ^*  (United States)

^b UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

Kernel; Non parametric model; Synapse

Indexed keywords

BIOLOGICAL MATERIALS; FUNCTIONS; MECHANISMS; NONLINEAR CONTROL SYSTEMS; OPTIMIZATION; PARAMETRIC DEVICES; SIGNAL PROCESSING; VECTORS;

FIXED INTERVAL TRAINS (FIT); NON-PARAMETRIC MODEL; SIGMOIDAL FUNCTIONS; SYNAPSES;

IDENTIFICATION (CONTROL SYSTEMS);

EID: 11044229589     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. R. S. Zucker and W. G. Regehr, "Short-term synaptic plasticity," Annual Review of Physiology, vol. 64, pp. 355-405, 2002.
2. J. S. Dittman, A. C. Kreitzer, and W. G. Regehr, "Interplay between facilitation, depression, and residual calcium at three presynaptic terminals," Journal of Neuroscience, vol. 20, pp. 1374-85, 2000.
3. D. Song, Z. Wang, V. Z. Marmarelis, and T. W. Berger, "Non-parametric interpretation and validation of the parametric short-term plasticity models," Proceedings of IEEE EMBS Conference, vol. 3, pp. 1901-1904, 2003.
4. D. Song, V. Z. Marmarelis, and T. W. Berger, "Parametric and Non-parametric Models of Short-term Plasticity," Proceedings of 2nd Joint EMBS-BMES Conference, vol. 3, pp. 1964-1965, 2002.
5. V. Z. Marmarelis, "Identification of nonlinear biological systems using Laguerre expansions of kernels," IEEE Transactions on Biomedical Engineering, vol. 40, pp. 1149-1158, 1993.