Dynamic nonlinear modeling of interactions between neuronal ensembles using principal dynamic modes

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2011, Pages 3334-3337

  Marmarelis, V Z ^a   Shin, D C ^a   Song, D ^a   Hampson, R E ^b   Deadwyler, S A ^b   Berger, T W ^a  

^a Center for Neural Engineering ^*  (United States)

^b WAKE FOREST SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CO-ORDINATE SYSTEM; FIRST-ORDER; INPUT-OUTPUT; MODEL PREDICTION; MULTI-INPUT/MULTI-OUTPUT MODELS; NON-HUMAN PRIMATE; NONLINEAR FUNCTIONS; NONLINEAR MODELING; NOVEL METHODOLOGY; OUTPUT VALUES; PRACTICAL IMPORTANCE; PREFRONTAL CORTEX; PRINCIPAL DYNAMIC MODES; RECEIVER OPERATING CHARACTERISTIC CURVES; SCALING-UP; SECOND ORDERS; SPIKE TRAIN;

MIMO SYSTEMS;

SINGULAR VALUE DECOMPOSITION;

ANIMAL; ARTICLE; NERVE CELL; NONLINEAR SYSTEM; PHYSIOLOGY; PRIMATE; TASK PERFORMANCE;

ANIMALS; NEURONS; NONLINEAR DYNAMICS; PRIMATES; TASK PERFORMANCE AND ANALYSIS;

EID: 84862608406     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2011.6090904     Document Type: Conference Paper

References (8)

1. T. W. Berger, D. Song, R. H. M. Chan, and V. Z. Marmarelis, "The neurobiological basis of cognition: identification by multi-input, multi-output nonlinear dynamic modeling," Proceedings of IEEE, vol. 98, no. 3, March 2010, pp. 356-374.
2. S. A. Deadwyler, T. Bunn, and R. E. Hampson, "Hippocampal ensemble activity spatial delayed-nonmatch-to-sample performance in rats," J. Neurosci., vol. 16, 1996, pp. 354-372.
3. V. Z. Marmarelis, "Nonlinear DynamicModeling of Physiological Systems", Hoboken, NJ: Wiley-IEEE Press, 2004.
4. Marmarelis, V.Z., T.P. Zanos, and T.W. Berger, "Boolean modeling of neural systems with point-process inputs and outputs. Part I: Theory and simulations," Annals Biomed. Eng., vol. 37, 2009, pp. 1654-1667.
5. D. Song, R. H. Chan, V. Z. Marmarelis, R. E. Hampson, S. A. Deadwyler, and T. W. Berger, "Nonlinear dynamic modeling of spike train transformations for hippocampal-cortical prostheses," IEEE Trans. Biomed. Eng., vol. 54, no. 6, June 2007, pp. 1053-1066.
6. Song D., R.H.M. Chan, V.Z. Marmarelis, R.E. Hampson, S.A. Deadwyler and T. W. Berger, "Nonlinear modeling of neural population dynamics for hippocampal prostheses," Neural Networks, vol. 22, 2009, pp. 1340-1351.
7. T. P. Zanos, S. H. Courellis, T. W. Berger, R. E. Hampson, S. A. Deadwyler, and V. Z. Marmarelis, "Nonlinear modeling of causal interrelationships in neuronal ensembles," IEEE Trans. Neural Syst. Rehabil. Eng., vol. 16, Aug. 2008, pp. 336-352.
8. Zanos, T.P., R.E. Hampson, S.A. Deadwyler, T.W. Berger and V.Z. Marmarelis, "Boolean modeling of neural systems with point-process inputs and outputs. Part II: Application to the rat hippocampus," Annals Biomed. Eng., vol. 37, 2009, pp. 1668-1682.