Journal Articles


2009

  1. S.A. Oprisan, Stability of Synchronous Oscillations in a Periodic Network, International Journal of Neuroscience, 119:4:482-491, 2009.

2008

  1. B. Fu, S.A. Oprisan, L. Xu,MULTI-DIRECTIONAL WIDTH-BOUNDED GEOMETRIC SEPARATOR AND PROTEIN FOLDING, International Journal of Computational Geometry & Applications, 18:5:389-413, 2008.
  2. Klein B.M., J.B. Andrews, B.A. Bannan, A.E. Nazario-Toole, T.C. Jenkins, K.D. Christensen, S.A. Oprisan, and E. Meyer-Bernstein,Phospholipase C beta 4 in mouse hepatocytes: Rhythmic expression and cellular distribution, Comparative Hepatology, 7:8:1-9, 2008.
  3. Oprisan S.A., Boutan C., Prediction of Entrainmnet and 1:1 Phase-Locked Modes in Two-Neuron Networks Based on the Phase Resetting Curve Method, International Journal of Neuroscience, 118:867-890, 2008.
  4. Oprisan A., Oprisan S.A., Hegseth J., Garrabos Y., Lecoutre-Chabot C., and Beysens D., Universality in early-stage growth of phase-separating domains near the critical point, Physical Review E 77:051118, 2008.
  5. Oprisan S.A., Reducing the complexity of computational models of neurons using bifurcation diagrams, Romanian Journal of Chemistry,..:...-..., 2008.

2007

  1. Canavier C.C., Oprisan S.A., Callaway J.C., Ji H., and Shepard P.D., Computational Model Predicts a Role for ERG Current in Repolarizing Plateau Potentials in Dopamine Neurons: Implications for Modulation of Neuronal Activity, J. Neurophysiology, 98:3006-3022, 2007.

2006

  1. Oprisan S.A. and Canavier C.C., Technique for eliminating nonessential components in the refinement of a model of dopamine neurons, Neurocomputing, 69:1030-1034, February 2006.
  2. Oprisan S.A. and Ana Oprisan, A computational model of oncogenesis using systemic approach, Axiomathes, Complex Systems Biology and Life's Logic in memory of Robert Rosen. Guest Editor: Ion Baianu, 16 (1-2):155-163, March 2006.

2005

  1. Oprisan S.A. and C.C. Canavier, Stability criterion for a two-neuron reciprocally coupled network based on the phase and burst resetting curves Neurocomputing, 65:733-739, 2005.

2004

  1. Oprisan S.A. , A.A. Prinz, and C.C. Canavier, Phase resetting and phase locking in hybrid circuits of one model and one biological neuron, Biophysical Journal 87(4):2283-2298, 2004.

2003

  1. Oprisan S.A. , and C.C. Canavier, Stability analysis of entrainment by two periodic inputs with a fixed delay, Neurocomputing 52-54:59-63, 2003.
  2. Oprisan S.A. , V. Thirumalai, and C.C. Canavier, Dynamics from a time series: Can we extract the phase resetting curve from a time series?, Biophysical Journal 84(5):2919-2928, 2003.
  3. Oprisan S.A. , and P.T. Frangopol, Self-organization of mobile agents team. The memory registers optimization using correlation feature, Romanian Journal of Physics 48:247-255, 2003.
  4. Oprisan S.A., and P.T.Frangopol,Optimization of memory task allocation in stochastic functional self-organized sorting performed by cooperative autonomous mobile agents, Romanian Reports in Physics 55(4):657, 2003.

2002

  1. Oprisan S.A., An application of the least-squares method to system parameters extraction from experimental data, Chaos 12(1):27-32, 2002.
  2. Oprisan S.A., and C.C. Canavier, The influence of limit cycle topology on the phase resetting curve, Neural Computation 14(5):1027-1057, 2002.
  3. Oprisan S.A., Optimization of the Memory Weighting Function in Stochastic Functional Self-Organized Sorting Performed by a Team of Autonomous Mobile Agents, Complex Systems 13(3):205-225, 2002.

2001

  1. Oprisan S.A., Theoretical approach on microscopic bases of stochastic functional self-organization. Quantitative measures of the organizational degree of the environment, Journal of Physics A: Mathematical & General 34(47): 10013 - 10028, 2001.
  2. Oprisan S.A., and C.C. Canavier, Stability Analysis of Rings of Pulse-Coupled Oscillators: The Effect of Phase Resetting in the Second Cycle After the Pulse Is Important at Synchrony and For Long Pulses, Journal of Differential Equations and Dynamical Systems 9(3-4):243 - 258, 2001.
  3. Oprisan S.A., P.T. Frangopol, Pattern formation in an electrochemical oscillatory system: an analytic and numerical survey, Revue Roumaine de Chemie, 46(11):1213-1217 , 2001.

2000

  1. Oprisan S.A., A. Ardelean, and P.T. Frangopol, Self-organization and competition in the immune response to cancer invasion. A phase-orientated computational model of oncogenesis, Bioinformatics 16(2):96 - 100, 2000.

1999

  1. Giuraniuc C.V., and Oprisan S.A., Short range and long range coupling in stochastic functional self organization, Physics Letters A 259(5): 334 - 338, 1999.
  2. Amarie D., Oprisan S.A., and Margareta Ignat, Random walk systems behavior based on record function, Physics Letters A 254(1-2), 112-118, 1999.
  3. Oprisan S.A., and Frangopol P.T., A new model for metal-passivation process. The electrochemical interface of the Ni/H2SO4 system investigated by nonlinear dynamics methods, Revue Roumain de Chemie 44(4):313-318, 1999.

1998

  1. Oprisan S.A., Convergence properties of the functional self-organization stochastic algorithm, Journal of Physics A: Mathematical and General 31(42): 8451-8463, 1998.
  2. Oprisan S.A., Tarus B., and Frangopol P.T., The mesoscopic approach to chemical mechanism of tumor growth (III), Roumanian Journal of Physics, Vol. 43(1-2):595-601, 1998.

1997

  1. Oprisan S.A., The analytic periodic solutions for domain-wall motion, Physical Review B 56(1):79-83, 1997.
  2. Oprisan S.A., The classical gases in the Tsallis statistics using the generalized Riemann zeta functions, Journal de Physique I France 7(7): 853-862, 1997.
  3. Oprisan S.A., Margareta Ignat, and C.St. Badescu, The Krylov Analytic Method Applied to Bloch Domain-Wall Periodic Motion, Balkan Physics Letters, vol. 5 Suppl.: 1586, 1997.
  4. Oprisan S.A., The Markov Random Fields Formalism Applied to Lattice Dynamical Systems with Memory, Balkan Physics Letters, vol. 5 Suppl.: 1590, 1997.
  5. Badescu C.St., Ignat M., and Oprisan S.A., Some aspects of the nonlinear dynamics of magnetic domain wall, Sensor and Actuators A-Physical 59(1-3): 352-356, 1997.
  6. Badescu C.St., Ignat M., and Oprisan S.A., On the Chaotic Oscillations of Bloch Walls and Their Control, Chaos, Solitons and Fractals, vol. 8(1): 33-43, 1997.

1996

  1. Oprisan S.A., V. Holban, and B. Moldoveanu, Functional self-organization performing wide-sense stochastic processes, Physics Letters A 216(6): 303-306, 1996.
  2. Oprisan S.A., and M. Ignat, The control of chaos by periodic perturbations. A theoretical approach, Journal of Technical Physics (former Acta Physica Polonica B), vol. 37(3-4): 399-403, 1996.

1994

  1. Oprisan S.A., The complete interaction mechanism for the heat conduction equation in canonical stochastic theory, Roumanian Journal of Physics 39, no. 2: 123-132, 1994.

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Books


  1. Ignat M., Oprisan S.A., and I. Bena, Thermodynamics Exercises (544 pages in Romanian), "Al.I.Cuza " University Press, Iasi, Romania, 2002.
  2. Oprisan S.A., Ignat M., Numerical methods of theoretical physics. I. Thermodynamics and statistical physics, (144 pages in Romanian), "Al.I.Cuza" University Press, Iasi, Romania, 1999.
  3. Singurel Gh., Oprisan S.A.,Quantum optics I (185 pages in Romanian), "Al.I.Cuza" University Press, Iasi, Romania, 1997.

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Book chapters


  1. Oprisan S.A., and C.C. Canavier, The Structure of Instantaneous Phase Resetting in a Neural Oscillator, Unifying Themes in Complex Systems, Springer Berlin Heidelberg, Vol. 3172:223-231, August 2007.
  2. Bin Fu, Oprisan S.A., Lizhe Xu, Multi-directional Width-Bounded Geometric Separator and Protein Folding, Lecture Note in Computer Science, Editors: Xiaotie Deng, and Dingzhu Du, Springer Berlin/Heidelberg, Vol. 3827:995-1006, 2005.
  3. Oprisan S.A., Task Oriented Functional Self-organization of Mobile Agents Team: Memory Optimization Based on Correlation Feature, Lecture Note in Computer Science, Editors: M. Doringo, M. Birattari, C. Blum, L. M.Gambardella, F. Mondada, and T. Statzle, Springer Berlin/Heidelberg, Vol. 3172:389-405, 2004.

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Technical Reports


1999

  1. Oprisan S.A., and Ana Oprisan, The convergence optimization technique applied to the functional self-organization algorithm, Annals of "Al.I.Cuza" University Iasi, Tom , s.I.b. fasc 2 Solid State and Theoretical Physics, 1999.
  2. Oprisan S.A., and Ana Oprisan, The saddle-node bifurcation and limit cycle transitions in the aquas environment metal passivation reaction, Annals of "Al.I.Cuza" University Iasi, Tom , s.I.b. fasc 2 Solid State and Theoretical Physics, 1999.
  3. Oprisan Ana, and Oprisan S.A., Margareta Ignat, The substrate interaction potential dependent thin film growth processes, Annals of "Al.I.Cuza" University Iasi, Tom , s.I.b. fasc 2 Solid State and Theoretical Physics, 1999.

1998

  1. Oprisan Ana, and Oprisan S.A., Monte Carlo simulation of the random and deterministic fractal growth processes, Annals of the West University Timisoara, vol. XXXVIII , 1998.
  2. Oprisan S. A., Ana Oprisan, Bifurcations and limit cycle in the aqueous environment metallic passivation kinetics, Annals of "Al.I.Cuza" University, vol. XXXIX, 1998.
  3. Oprisan S. A., Ana Oprisan, Optimized numerical algorithm for cluster aggregation in functional self-organization, Annals of "Al.I.Cuza" University, vol. XXXIX, 1998.
  4. Oprisan Ana, Oprisan S. A., Margareta Ignat, Thin film growth processes. The study of interaction potential influence on the fractal dimension, Annals of "Al.I.Cuza" University, vol. XXXIX, 1998.

1997

  1. Oprisan S.A., A pattern generation and recognition algorithm using random Markov fields, Annals of the West University Timisoara, vol. XXXVI, 49-56, 1997.
  2. Oprisan S.A., The theoretical analysis of convergence properties of the functional self-organization stochastic algorithm, Annals of the West University Timisoara, vol. XXXVI, 57-67, 1997.
  3. Oprisan S.A., The features method applied to clustering dynamics of stochastic functional self-organization model, Annals of the West University Timisoara, vol. XXXVI, 68-83, 1997.
  4. Oprisan S.A.,Dynamic reconstruction of lattice structure using random walk with memory, Annals of the West University Timisoara, vol. XXXVI, 57-67, 1997.

1996

  1. Oprisan S.A., About the Kullback entropy applied to the geometrization of the equilibrium thermodynamics, Annals of the West University Timisoara, vol. XXXV, 16-25, 1996.
  2. Oprisan S.A., The Metric Tensor for the Spin Systems in Equilibrium Thermodynamics, Annals of the West University Timisoara, vol. XXXV, 26-32, 1996.
  3. Oprisan S.A., Transition from type 1 to type 0 phase resetting curve in perturbed limit cycle behavior, Annals of "Al.I.Cuza" University Iasi, Tom XLI-XLII, s.I.b. fasc 2 Solid State and Theoretical Physics, 141-146, 1995-1996.
  4. Oprisan S.A., About the conservation equation in stochastic canonical theory, Annals of "Al.I.Cuza" University Iasi, Tom XLI-XLII, s.I.b. fasc 2 Solid State and Theoretical Physics, 131-140, 1995-1996.
  5. Oprisan S.A., Solutions of the Fisher equation in electric field, Annals of "Al.I.Cuza" University Iasi, Tom XLI-XLII, s.I.b. fasc 2 Solid State and Theoretical Physics, 147-152, 1995-1996.

1994

  1. Oprisan S.A., Deterministic description of the stochastic motion, Annals of "Al.I.Cuza" University Iasi, Tom XL, s.I.b. fasc 2 Solid State and Theoretical Physics, 89-92, 1994.
  2. Oprisan S.A., The Kramers-Moyal expansion for the Fokker Planck equation, Annals of "Al.I.Cuza" University Iasi, Tom XL, s.I.b. fasc 2 Solid State and Theoretical Physics, 85-88, 1994.

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Conference Proceedings


2008

  1. Oprisan S.A., A simplified model of dopaminergic neuron, BMC Neuroscience, 9(Suppl 1):140-141, 2008.
  2. Ana Oprisan, S.A. Oprisan, J. Hegseth, Y. Garrabos, C. Lecoutre-Chabot, and D. Beysens, Finding the temperature using image analysis techniques, SPIE, Optics and Photonics, San Diego, CA, August (10-14), in SPIE Conference Proceedings Volume 7:...-..., 2008.

2005

  1. Bin Fu, Oprisan S.A., Lizhe Xu, Multi-directional Width-Bounded Geometric Separator and Protein Folding, Lecture Note in Computer Science (Algorithms and Computation: 16th International Symposium, ISAAC 2005, Sanya, Hainan, China, December 19-21, 2005. Editors: Xiaotie Deng, Dingzhu Du), 3827:995 - 1006, 2005.

2004

  1. Oprisan S.A., Task Oriented Functional Self-Organization of Mobile Agents Team: Memory Optimization Based on Correlation Feature, Lecture Notes in Computer Science (Ant Colony, Optimization and Swarm Intelligence: 4th International Workshop, ANTS 2004, Brussels, Belgium, September 5-8, 2004. Editors: Marco Dorigo, Mauro Birattari, Christian Blum, Luca M.Gambardella, Francesco Mondada, Thomas Statzle), Springer 3172, pp. 398-405, 2004.
  2. Oprisan S.A., and A. Oprisan, Computational Model of Population Dynamics Based on the Cell Cycle and Local Interactions, ISIS: International Symposium on Interdisciplinary Science, Natchitoches, LA, October 6-8, in AIP Conference Proceedings Volume 755, pp. 198-203, 2004.

2002

  1. Oprisan S.A., V. Thirumalai, E. Marder, and C.C. Canavier, Phase Resetting in Neural Oscillators as a Component of Circuit Analysis, Proceeding of the Second Joint Engineering in Medicine and Biology Society of the IEEE and the Biomedical Engineering Society Conference (http://www.embs-bmes2002.org/), Huston, TX, USA, October 23-26, 2002.
  2. Oprisan S.A.and M. Ignat, Functional self-organization of autonomous mobile agents: an optimized foraging mechanism, Proceeding of the International Conference on Automation, Quality and Testing, Robotics (A&QT-R 2002), Cluj-Napoca, Romania, May 23-25, 2002.

2001

  1. Oprisan S.A. and C.C. Canavier, The Structure of Instantaneous Phase Resetting in a Neural Oscillator, InterJournal of Complex Systems, manuscript 386.

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Published Abstracts


2008

  1. Existence and stability of 1:1 phase-lacked modes in small neural networks of bursting neurons, Oprisan S.A., M. Baer, and C. Marvin, 38th Annual Meeting of the Society for Neuroscience, Washington, D.A., November 14 - 19, 2008.
  2. A simplified model of dopaminergic neuron,Sorinel Oprisan, Seventeenth Annual Computational Neuroscience Meeting: CNS*2008, Portland, OR, USA. 19?24 July 2008. Published in BMC Neuroscience, 9 (1):P140, 2008.
  3. Finding the temperature using image analysis techniques, Ana Oprisan, Sorinel Oprisan, John Hegseth, Yves Garrabos, Carole Lecoutre-Chabot, and Daniel Beysens, SPIE, Optics and Photonics, San Diego, CA, August 10-14, 2008.
  4. Computational Model of CA1 Hippocampal Neuron", Natasha New, Sorinel A. Oprisan, Antonietta Lavin, and Bailey Glen, School of Sciences and Mathematics, 20th Scientific Research Poster Session, College of Charleston, April 11, 2008.
  5. What srategies are used to solve online homework assignments, Ana Oprisan, and Sorinel Oprisan, SACS-AAPT April Meeting, Gainesville, GA, April, 2008.
  6. Object-oriented programming for non-programmers with AgentSheets, Sorinel Oprisan, and Ana Oprisan, SACS-AAPT April Meeting, Gainesville, GA, April, 2008.
  7. Critical fluctuations and phase separation in pure fluid, Ana Oprisan, Greg Smith, Sorinel A. Oprisan, John J. Hegseth, Yves Garrabos, Carole Lecoutre-Chabot, and Daniel Beysens, APS March Meeting, New Orleans, LA, March 10-14, 2008.
  8. Biophysically realistic minimal model of dopamine neuron, Sorinel A. Oprisan, APS March Meeting, New Orleans, LA, March 10-14, 2008.
  9. Imaging density Fluctuations in Liquids Using Schlieren Photographic Technique, Ana Oprisan, Sorinel A. Oprisan, and Alem Teklu, APS March Meeting, New Orleans, LA, March 10-14, 2008.
  10. Computational Model of CA1 Hippocampal Neuron", Natasha New, Sorinel A. Oprisan, and Antonietta Lavin, Symposium for Young Neuroscientists and Professors of the Southeast, College of Charleston, March 15, 2008.

2007

  1. Existence and stability of 1:1 phase-lacked modes in small neural networks of bursting neurons, Oprisan S.A., and K. Holthaus, 37th Annual Meeting of the Society for Neuroscience, San Diego, California, November 3 - 7, 2007.
  2. Automatic firing pattern detection and visualization for physiologically relevant neural models, L. Pellicoro and Oprisan S.A., 37th Annual Meeting of the Society for Neuroscience, San Diego, California, November 3 - 7, 2007.
  3. Computational techniques for quantitative characterization of critical fluctuations in binary fluids, Oprisan A., Oprisan S.A., and J. Hegseth, 2007 APS April Meeting, Jacksonville, Florida, April 14-17, 2007.
  4. Predicting neural network firing pattern from phase resetting curve, Oprisan S.A., and Oprisan A., 2007 APS April Meeting, Jacksonville, Florida, April 14-17, 2007.

2006

  1. Existence and stability criteria for ring neural networks of spiking neurons, Boutan C. and S.A. Oprisan, 36th Annual Meeting of the Society for Neuroscience, Atlanta, GA, October 14-18 2006.
  2. Phase space singularities of neural oscillators determine the structure of the phase-resetting curve, S.A. Oprisan and A. Oprisan, 36th Annual Meeting of the Society for Neuroscience, Atlanta, GA, October 14-18 2006.
  3. Stable fully synchronized states in periodic neural networks,Oprisan A. and S.A. Oprisan, 36th Annual Meeting of the Society for Neuroscience, Atlanta, GA, October 14-18 2006.
  4. Oscillatory patterns in networks of asymmetrically coupled neurons using phase response curve,Oprisan S.A., and A. Oprisan, The Annual Computational Neuroscience Meeting , Edinburgh, United Kingdom, July 19-20 2006.

2005

  1. Multi-Directional Width-Bounded Geometric Separator and Protein Folding,Bin Fu, Oprisan S.A., Lizhe Xu, The 16th Annual International Symposium on Algorithms and Computation (ISAAC 2005), Sanya, Hainan, China, December 19 - 21, 2005.
  2. Computational model supports a role for ether-a-go-go gene K+-channels in the repolarization of bursting plateau potentials in nigral dopamine neurons,Oprisan S.A., P.D. Shepard and C.C. Canavier, Annual Meeting of the Society for Neuroscience, Washington, DC, November 12-16, 2005.
  3. Technique for eliminating nonessential components in the refinement of a model of dopamine neurons,Oprisan S.A., and C.C. Canavier, The Annual Computational Neuroscience Meeting , Madison, Wisconsin (USA), July 17-21, 2005.

2004

  1. PREDICTION OF THE PHASE RELATIONSHIPS IN AND STABILITY OF 1:1 PHASE-LOCKING OF RECIPROCALLY INHIBITORY HYBRID CIRCUITS OF TWO BURSTING NEURONS,Oprisan S.A., Astrid A. Prinz and C.C. Canavier, Annual Meeting of the Society for Neuroscience, San Diego, Ca, October 23-27, 2004.
  2. Computational Model of Population Dynamics Based on the Cell Cycle and Local Interactions,Oprisan S.A. and Ana Oprisan, ISIS: International Symposium on Interdisciplinary Science, Natchitoches, LA, October 6-8, in AIP Conference Proceedings Volume 755, pp. 198-203, 2004.
  3. Stability criterion for phase-locked modes in two-neuron networks based on phase and burst resetting curves,Oprisan S.A., and C.C. Canavier, The Annual Computational Neuroscience Meeting, Baltimore, MD, July 18-20, 2004.
  4. Prediction of the phase relationships in and stability of 1:1 phase-locking of reciprocally inhibitory hybrid circuits of two bursting neurons, Oprisan S.A., Astrid A. Pinz, and C.C. Canavier, 16th Annual Neuroscience Retreat LSUHSC Neuroscience Center of Excellence, New Orleans, April 19, 2004.

2003

  1. A GEOMETRIC MODEL FOR THE PHASE RESETTING INDUCED BY STRONG INHIBITORY AND EXCITATORY INPUTS TO A BURSTING NEURON, Oprisan S.A., and C.C. Canavier, 33rd Annual Meeting of the Society for Neuroscience, New Orleans, Louisiana, 8-12 November, 2003.
  2. Phase resetting induced by hard presynaptic perturbations, Oprisan S.A., and C.C. Canavier, SEVENTH INTERNATIONAL CONFERENCE ON COGNITIVE AND NEURAL SYSTEMS, Boston University, May 28 - 31, 2003.
  3. Recurrent Maps Method used to predict the Phase-locked Modes in a Hybrid Circuit based on the Phase Resetting Curve, Oprisan S.A., Astrid A. Pinz, Eve Marder, and C.C. Canavier, 15th Annual Neuroscience Retreat LSUHSC Neuroscience Center of Excellence, New Orleans, March 1, 2003.

2002

  1. Predicting Phase-locked Modes in a Hybrid Circuit from the Phase Resetting Curve, Oprisan S.A., A. Prinz, E. Marder, and C.C. Canavier, 32nd Annual Meeting of the Society for Neuroscience , Orlando, Florida, 2-7 November, 2002.
  2. Oprisan S.A. , V. Thirumalai, E. Marder, and C.C. Canavier, Phase Resetting in Neural Oscillators as a Component of Circuit Analysis, Proceeding of the Second Joint Engineering in Medicine and Biology Society of the IEEE and the Biomedical Engineering Society Conference (http://www.embs-bmes2002.org/), Huston, TX, USA, October 23-26, 2002.
  3. Oprisan S.A., Canavier C.C., Stability Analysis of Entrainment by Two Periodic Inputs With a Fixed Delay, The Annual Computational Neuroscience Meeting (http://www.neuroinf.org/CNS.shtml and full paper at http://www.computersciencepreprints.com ), Chicago, Illinois, July 21-25, 2002.
  4. Oprisan S.A., and M. Ignat, FUNCTIONAL SELF-COORDINATION OF AUTONOMOUS MOBILE AGENTS: AN OPTIMIZED FORAGING MECHANISM, Proceeding of the International Conference on Automation, Quality and Testing, Robotics (A&QT-R 2002), Cluj-Napoca, Romania, May 23-25, 2002.

2001

  1. Phase Resetting Predicted from Time Series Data , Oprisan S.A., V. Thirumalai, E. Marder, and C.C. Canavier, 31st Annual Meeting of the Society for Neuroscience, San Diego, California, November 2-7, 2001.

2000

  1. Analysis of central pattern generator circuits using phase resetting , Oprisan S.A., Carmen C. Canavier, 30th Annual Meeting of the Society for Neuroscience, New Orleans, Louisiana, November 4-9, 2000.
  2. The theory of stochastic functional self-organization, Oprisan S.A., International Conference on Complex Systems (ICCS), Nashua, New Hampshire, May 21-26, 2000.
  3. Phase response curve via multiple time scale analysis of limit cycle behavior of type I and type II excitability, Oprisan S.A., and Carmen C. Canavier, BIOPHYSICAL JOURNAL 78 (1): 1284 Pos Part 2 JAN 2000, 44th Annual Meeting of the Biophysical Society, New Orleans, Louisiana, 12-16 February, 2000.

1998

  1. Nonlinear dynamics methods applied to metal-passivation processes (Oprisan S.A., Frangopol P.T., Ardelean A.), Physics National Conference, Constanta, Romania, 12-14 October 1998.
  2. Monte Carlo simulations of the random and deterministic fractal growth processes (Oprisan Ana, Oprisan S.A.), Physics National Conference, Constanta, Romania, 12-14 October 1998.
  3. (Amarie D., Oprisan S.A., Margareta Ignat), Physics National Conference, Constanta, Romania, 12-14 October 1998.

1997

  1. The Markov random fields formalism applied to lattice dynamical systems with memory, Oprisan S.A., and M. Ignat, 3rd General Conference of the Balkan Physical Union, Cluj-Napoca, Romania, 2-5 September, 1997.
  2. The domain-wall motion with analytic periodic solution, Oprisan S.A., M. Ignat, and C.St. Badescu, 3rd General Conference of the Balkan Physical Union, Cluj-Napoca, Romania, 2-5 September, 1997.

1996

  1. Some aspects of the nonlinear dynamics of magnetic domain walls, Badescu C.St., Oprisan S.A., and M. Ignat, The First European Magnetic Sensors and Actuators Conference, Iasi, Romania, 22-24 July 1996.
  2. Digital image processing using Random Markov Fields (Oprisan S.A.), Conference of the National Academy of Military Aviation "Henri Coanda", Brasov, Romania, November 1996.
  3. Control and synchronization of chaotic oscillators (Oprisan S.A.), Conference of the National Academy of Military Aviation "Henri Coanda", Brasov, Romania, November 1996.

1995

  1. On the chaotic oscillations of Bloch walls and their control (Badescu C.St., Ignat Margareta, Oprisan S.A.), Symposium on Physics and Technological Physics, Iasi, Romania, October 1995.
  2. Stochastic functional self-organization using a weighted memory function (Oprisan S.A., Holban V., Moldoveanu B.), Symposium on Physics and Technological Physics, Iasi, Romania, October 1995.

1993

  1. About the solution of the Fisher equation in electric field , Oprisan S.A., The Congress of the Romanian-American Academy, Chisinau, 12-16 June, 1993.
  2. Deterministic description of the stochastic motion (Oprisan S.A.), Physics National Conference, Constanta, Romania, October 1993.

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Oral Conference Presentations, Invited Talks, and Colloquia


2008

  1. Computational methods for predicting 1:1 entrainment and phase-locked modes in small neural networks, Department of Biostatistic, Bioinformatics and Epidemiology Medical University of South Carolina, Charleston, SC, October 03, 2008.

2007

  1. Computing in the Liberal Arts and Sciences, Panel Organized by Computer Science and the Center for Faculty Developmen, College of Charleston, Charleston, SC, April 27th, 2007.
  2. Physics experiments using PASCO, Guest lecture in the Department of Physics and Astronomy, College of Charleston, Charleston, SC, Wednesday, February 28th, 2007.
  3. An improved geometrical separator for HP protein folding model, Invited talk at 3rd SC-INBRE Bioinformatics Research Symposium, Clemson University, SC, January 18-19, 2007.

2006

  1. Modeling dopaminergic neurons, Invited talk in the Mathematical Biology division of New Jersey Institute for Technology, Newark, New Jersey, May 2, 2006.
  2. A biologically-inspired sorting algorithm, Guest lecture in the Computer Science Department, College of Charleston, Charleston, SC, Thursday March 30, 2006.
  3. A computational model of dopamine neurons, Invited talk at Physics and Astronomy Department, College of Charleston, Charleston, SC, January 17, 2006.

2005

  1. 1:1 Phase Locking in Hybrid Neural Circuits, Invited talk, Physics and Astronomy Department, College of Charleston, Charleston, SC, March 2005.

2002

  1. Memory registers optimization in stochastic functional self-organized sorting performed by a team of autonomous mobile agents Oprisan S.A., International Conference on Intelligent Autonomous Systems (IAS-7), Marina del Rey, California, March 25-27, 2002.
  2. Quantitative measures of organizational degree induced by mobile agents Oprisan S.A., Seventh International Symposium on Artificial Intelligence and Mathematics, Fort Lauderdale, Florida, January 2-4, 2002.
  3. PREDICTING PHASE LOCKED MODES IN A HYBRID CIRCUIT FROM THE PHASE RESETTING CURVE, Psychology Department, University of New Orleans, New Orleans, December 10, 2002.
  4. Can coherent macroscopic behavior emerge from random microscopic motion? An agent-based model of swarm intelligence, Physics Department, University of New Orleans, New Orleans, April 4, 2002.
  5. Advantages and limits of biologically inspired models in artificial intelligence. Stochastic functional self-organized sorting in autonomous mobile agents dynamics, Electrical Engineering and Computer Science Department, Tulane University, New Orleans, February 1, 2002.

2001

  1. Dynamics and the Geometry of Phase Space. Extracting Phase Resetting Curve from Experimental Time Series, Brandeis University, Volen Center for Complex Systems, Waltham, January 2001.

2000

  1. A Topological Approach on the Phase Resetting Curve Construction, (Oprisan S.A., and C.C. Canavier), International Conference on Complex Systems (ICCS), Nashua, NH, May 21-26, 2000.
  2. From neuron to behavior. An artificial neural network model of quadrupedal locomotion. Psychology Department, University of New Orleans, New Orleans, September 2000.

1999

  1. Global dynamic of tumor growth via mesoscopic dynamics, (Oprisan S.A., and P.T. Frangopol), The first International Biosciences Days, Antalya, Turkey, 20-24 April 1999.

1995

  1. The control of chaos by periodic perturbations. A theoretical approach (Oprisan S.A., and M. Ignat), International Conference on Nonlinear Dynamics, Chaotic and Complex Systems, Zakopane, Poland, 7-12 November, 1995.

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