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Articles in Refereed Journals Sieling F.H., Canavier C.C., Prinz A.A. (in preparation). Predicting synchronization in hybrid networks of bursting neurons from phase resetting curves. Gurel Kazanci F., Maran S.K., Prinz A.A., Canavier C.C. (in preparation). Strong coupling enables robust N:1 locking at non-integer multiples of intrinsic frequency. Biophys J. Cudmore R.H., Prinz A.A. (in preparation). Dynamic Clamp. Scholarpedia. Hong E., Gurel Kazanci F., Prinz A.A. (2008). Different roles of related currents in fast and slow spiking of model neurons from two phyla. J Neurophysiol. doi:10.1152/jn.90567.2008. Langton J.T., Prinz A.A., Wittenberg D.K., Hickey T.J. (2006). Leveraging layout with dimensional stacking and pixelization to facilitate feature discovery and directed queries. Lect Notes in Comp Sci 4370: 77-91. (bibtex) Langton J.T., Prinz A.A., Hickey T.J. (2007). NeuroVis: combining dimensional stacking and pixelization to visually explore, analyze, and mine multidimensional multivariate data. In: Proceedings of SPIE: Visualization and Data Analysis (VDA 2007) 6495: 64950H1-64950H12. (bibtex) Prinz A.A. (2007). Neuronal Parameter Optimization. Scholarpedia: 6503. Smolinski T.G., Boratyn G.M., Milanova M., Buchanan R., Prinz A.A. (2006). Hybridization of independent component analysis, rough sets, and multi-objective evolutionary algorithms for classificatory decomposition of cortical evoked potentials. Lect Notes in Bioinform 4146, pp. 174-183. Smolinski T.G., Buchanan R., Boratyn G.M., Milanova M., Prinz A.A. (2006). Independent component analysis-motivated approach to classificatory decomposition of cortical evoked potentials. BMC Bioinformatics 7: Art. No. S8 Suppl. 2. Langton J.T., Prinz A.A., Hickey T.J. (2006). Combining pixelization and dimensional stacking. Lect Notes in Comp Sci 4292(2): 617-626. (bibtex) Smolinski T.G., Soto-Treviño C., Rabbah P., Nadim F., Prinz A.A. (2006). Analysis of Biological Neurons via Modeling and Rule Mining. Int J IT&IC, 1(2): 293-302. Smolinski T.G., Milanova M., Boratyn G.M., Buchanan R., Prinz A.A. (2006). Multi-objective evolutionary algorithms and rough sets for decomposition and analysis of cortical evoked potentials,” In: Proc. of the IEEE International Conference on Granular Computing (GrC 2006); Atlanta, Georgia, May 2006, pp. 635-638. Taylor A.L., Hickey T.J., Prinz A.A., Marder E. (2006). Structure and visualization of high-dimensional conductance spaces. J Neurophysiol 96: 891-905. Dong M., Sun X., Prinz A.A., Wang H-S (2006). Effect of simulated Ito on guinea pig and canine ventricular action potential morphology. Am J Physiol Heart Circ Physiol doi: 10.1152/ajpheart.00084.2006. Thirumalai V., Prinz A.A., Johnson C.D., Marder E. (2005). Red pigment concentrating hormone strongly enhances the strength of the feedback to the pyloric rhythm oscillator but has little effect on pyloric rhythm period. J Neurophysiol 95(3): 1762-1770. Bucher D., Prinz A.A., Marder E. (2005). Animal-to-animal variability in motor pattern production in adults and during growth. J Neurosci 25:1611-1619. Prinz A.A., Bucher D., Marder E. (2004). Similar network activity from disparate circuit parameters. Nature Neurosci 7:1345-1352. Oprisan S.A., Prinz A.A., Canavier C.C. (2004). Phase resetting and phase locking in hybrid circuits of one model and one biological neuron. Biophys J 87: 2283-2298. Prinz A.A., Billimoria C.P., Marder E. (2003). Alternative to hand-tuning conductance-based models: construction and analysis of databases of model neurons. J Neurophysiol 90: 3998-4015. Prinz A.A., Thirumalai V., Marder E. (2003). The functional consequences of changes in the strength and duration of synaptic inputs to oscillatory neurons. J Neurosci 23: 943-954. Prinz A.A., Fromherz P. (2003). Effect of neuritic cables on conductance estimates for remote electrical synapses. J Neurophysiol 89: 2215-2224. Kupper J., Prinz A.A., Fromherz P. (2002). Recombinant Kv1.3 potassium channels stabilize tonic firing of cultured rat hippocampal neurons. Eur J Physiol 443: 541-547. Prinz A.A., Fromherz P. (2000). Electrical synapses by guided growth of cultured neurons from the snail Lymnaea stagnalis. Biol Cybern 82(4): L1-L5. Reviews Prinz A.A. (2006). Insights from models of rhythmic motor systems. Curr Opin Neurobiol 16(6): 615-620. Prinz A.A. (2004). The dynamic clamp a decade after its invention. AxoBits 40: 6-7. Prinz A.A., Abbott L.F., Marder E. (2004). The dynamic clamp comes of age. TINS 27: 218-224. Marder E., Prinz A.A. (2002). Modeling stability in neuron and network function: the role of activity in homeostasis. BioEssays 24: 1145-1154. Book chapters Calabrese R.L., Prinz A.A. (in preparation). Modeling small networks. In: De Schutter E, ed. Computational Modeling Methods for Neuroscientists. MIT Press. Canavier C.C., Sieling F.H., Prinz A.A. (in press). Dynamic-clamp constructed hybrid circuits for the study of synchronization phenomena in networks of bursting neurons. In: Destexhe A., Bal T., eds. Dynamic clamp: from principles to applications. Springer. Prinz A.A. (2008). Plasticity and stability in neuronal and network dynamics. In: Soltesz I., Staley K., eds. Computational Neuroscience in Epilepsy. Elsevier. Prinz A.A. (2007). Computational exploration of neuron and neural network models in neurobiology. In: Crasto C.J., ed. Methods in Molecular Biology: Bioinformatics. Humana Press, Totowa NJ: 167-179. Smolinski T.G., Prinz A.A., Zurada J.M. (2007). Hybridization of Rough Sets and Multi-Objective Evolutionary Algorithms for Classificatory Signal Decomposition. In: Hassanien A.-E., Suraj Z., Slezak D., Lingras P., eds. Rough Computing: Theories, Technologies, and Applications. Information Science Reference, Hershey NY: 204-227. Marder E., Prinz A.A., Abbott L.F. (2003). Dynamic clamp: modeling with biological neurons. In: Adelman G., Smith B.H., eds. Encyclopedia of Neuroscience, 3rd ed. Elsevier. Abbott L.F., Thoroughman K., Prinz A., Thirumalai V., Marder E. (2003). Activity-dependent modification of intrinsic and synaptic conductances in neurons and rhythmic networks. In: Van Ooyen A., ed. Modeling Neural Development. MIT Press, Cambridge MA: 151-166. Commentaries Prinz A.A. (2008). Understanding epilepsy through network modeling. Proc Natl Acad Sci USA 105(16): 5953-5954. Prinz A.A. (2004). Neural networks: models and neurons show hybrid vigor in real time. Curr Biol 14: R661-R662. Marder E., Prinz A.A. (2003). Current compensation in neuronal homeostasis. Neuron 37 (1): 2-4. Peer-Reviewed Conference Contributions Hong E., Taylor A.L., Prinz A.A. (2006). Comparison of fast and slow tonically spiking neurons based on conductance space exploration of model neurons from two different phyla. Computational Neuroscience Meeting, July 16-20, 2006, Edinburgh, Scotland. Conference Abstracts Langton J.T., Prinz A.A., Hickey T.J. (2006). NeuroVis: Exploring interaction techniques by combining dimensional stacking and pixelization to visualize multidimensional multivariate data. InfoVis 2006. Buchanan R., Milanova M., Smolinski T.G., Boratyn G.M., Prinz A.A. (2006). Decomposition and analysis of cortical evoked potentials using ICA. 3rd Annual MidSouth Computational Biology and Bioinformatics Society Conference (MCBIOS 2006), Baton Rouge, Louisiana, February 2-4, 2006. Smolinski T.G., Prinz A.A., Soto-Treviño C., Rabbah P., Nadim F. (2005). Computational exploration of a multi-compartment model of the lobster pyloric pacemaker kernel. Society for Neuroscience 35th Annual Meeting, Washington, D.C., November 12-16, 2005. Smolinski T.G., Soto-Treviño C., Rabbah P., Nadim F., Prinz A.A. (2005). Application of evolutionary algorithms-based pseudo-association rule mining to analysis of the intrinsic properties of the PD neuron in the lobster pyloric network. Second SECABC Fall Workshop on Biocomputing; Atlanta, Georgia, October 27, 2005.
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