Sorinel A. OprisanAffiliations:
- College of Charleston, SC, USA
- University of New Orleans, LA, USA (former)
According to our database1, Sorinel A. Oprisan authored at least 17 papers between 2000 and 2022.
Legend:Book In proceedings Article PhD thesis Dataset Other
Interdisciplinary curriculum for computational neuroscience at primarily undergraduate institutions.
J. Comput. Sci., 2022
Biophysical Modeling of Excitable Cells - A New Approach to Undergraduate Computational Biology Curriculum Development.
Proceedings of the Computational Science - ICCS 2021, 2021
Cocaine-Induced Changes in Low-Dimensional Attractors of Local Field Potentials in Optogenetic Mice.
Frontiers Comput. Neurosci., 2018
Predicting the Existence and Stability of Phase-Locked Mode in Neural Networks Using Generalized Phase-Resetting Curve.
Neural Comput., 2017
Low-dimensional attractor for neural activity from local field potentials in optogenetic mice.
Frontiers Comput. Neurosci., 2015
Proceedings of the Encyclopedia of Computational Neuroscience, 2014
Local Linear Approximation of the Jacobian Matrix Better Captures Phase Resetting of Neural Limit Cycle Oscillators.
Neural Comput., 2014
Proceedings of the Visual Information Processing XIX, 2010
Int. J. Comput. Geom. Appl., 2008
Technique for eliminating nonessential components in the refinement of a model of dopamine neurons.
Stability criterion for a two-neuron reciprocally coupled network based on the phase and burst resetting curves.
Task Oriented Functional Self-organization of Mobile Agents Team: Memory Optimization Based on Correlation Feature.
Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2004
Neural Comput., 2002
Optimization of the Memory Weighting Function in Stochastic Functional Self-Organized Sorting Performed by a Team of Autonomous Mobile Agents.
Complex Syst., 2002
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2002
Self-organization and competition in the immune response to cancer invasion: a phase-orientated computational model of oncogenesis.