Year |
Citation |
Score |
2017 |
Newton AJH, Seidenstein AH, McDougal RA, Pérez-Cervera A, Huguet G, M-Seara T, Haimerl C, Angulo-Garcia D, Torcini A, Cossart R, Malvache A, Skiker K, Maouene M, Ragognetti G, Lorusso L, ... ... Prinz AA, et al. 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Bmc Neuroscience. 18. DOI: 10.1186/S12868-017-0372-1 |
0.753 |
|
2015 |
Hudson AE, Gollnick C, Gourdine JP, Prinz AA. Degradation of extracellular chondroitin sulfate delays recovery of network activity after perturbation. Journal of Neurophysiology. 114: 1346-52. PMID 26108956 DOI: 10.1152/Jn.00455.2015 |
0.703 |
|
2015 |
Günay C, Sieling FH, Dharmar L, Lin WH, Wolfram V, Marley R, Baines RA, Prinz AA. Distal spike initiation zone location estimation by morphological simulation of ionic current filtering demonstrated in a novel model of an identified Drosophila motoneuron. Plos Computational Biology. 11: e1004189. PMID 25978332 DOI: 10.1371/journal.pcbi.1004189 |
0.785 |
|
2015 |
Günay C, Sieling FH, Dharmar L, Lin WH, Wolfram V, Marley R, Baines RA, Prinz AA. Distal Spike Initiation Zone Location Estimation by Morphological Simulation of Ionic Current Filtering Demonstrated in a Novel Model of an Identified Drosophila Motoneuron Plos Computational Biology. 11. DOI: 10.1371/journal.pcbi.1004189 |
0.768 |
|
2014 |
Sieling F, Bédécarrats A, Simmers J, Prinz AA, Nargeot R. Differential roles of nonsynaptic and synaptic plasticity in operant reward learning-induced compulsive behavior. Current Biology : Cb. 24: 941-50. PMID 24704077 DOI: 10.1016/J.Cub.2014.03.004 |
0.729 |
|
2014 |
Soofi W, Goeritz ML, Kispersky TJ, Prinz AA, Marder E, Stein W. Phase maintenance in a rhythmic motor pattern during temperature changes in vivo. Journal of Neurophysiology. 111: 2603-13. PMID 24671541 DOI: 10.1152/jn.00906.2013 |
0.767 |
|
2014 |
Wolfram V, Southall TD, Günay C, Prinz AA, Brand AH, Baines RA. The transcription factors islet and Lim3 combinatorially regulate ion channel gene expression. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 34: 2538-43. PMID 24523544 DOI: 10.1523/Jneurosci.4511-13.2014 |
0.304 |
|
2014 |
Günay C, Prinz AA. Estimation of spike initiation zone and synaptic input parameters of a Drosophila motoneuron using a morphologically reconstructed model Bmc Neuroscience. 15. DOI: 10.1186/1471-2202-15-S1-P65 |
0.607 |
|
2014 |
Malik A, Prinz AA, Smolinski TG. A system for automated analysis of conductance correlations involved in recovery of electrical activity after neuromodulator deprivation in stomatogastric neuron models Bmc Neuroscience. 15: P41. DOI: 10.1186/1471-2202-15-S1-P41 |
0.68 |
|
2013 |
Krenz WD, Hooper RM, Parker AR, Prinz AA, Baro DJ. Activation of high and low affinity dopamine receptors generates a closed loop that maintains a conductance ratio and its activity correlate. Frontiers in Neural Circuits. 7: 169. PMID 24155696 DOI: 10.3389/Fncir.2013.00169 |
0.321 |
|
2013 |
Billimoria CP, Dicaprio RA, Prinz AA, Quintanar-Zilinskas V, Birmingham JT. Modifying spiking precision in conductance-based neuronal models. Network (Bristol, England). 24: 1-26. PMID 23441599 DOI: 10.3109/0954898X.2012.760057 |
0.782 |
|
2013 |
Malik A, Shim K, Prinz AA, Smolinski TG. Multi-objective evolutionary algorithms for analysis of conductance correlations involved in recovery of bursting after neuromodulator deprivation in lobster stomatogastric neuron models Bmc Neuroscience. 14: P370. DOI: 10.1186/1471-2202-14-S1-P370 |
0.68 |
|
2013 |
Smolinski TG, Prinz AA. Rough Sets and Neuroscience Intelligent Systems Reference Library. 43: 493-514. DOI: 10.1007/978-3-642-30341-8_26 |
0.658 |
|
2012 |
Sieling FH, Archila S, Hooper R, Canavier CC, Prinz AA. Phase response theory extended to nonoscillatory network components. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 85: 056208. PMID 23004844 DOI: 10.1103/PhysRevE.85.056208 |
0.754 |
|
2012 |
Olypher AV, Lytton WW, Prinz AA. Input-to-output transformation in a model of the rat hippocampal CA1 network. Frontiers in Computational Neuroscience. 6: 57. PMID 22888318 DOI: 10.3389/fncom.2012.00057 |
0.737 |
|
2012 |
Soofi W, Archila S, Prinz AA. Co-variation of ionic conductances supports phase maintenance in stomatogastric neurons. Journal of Computational Neuroscience. 33: 77-95. PMID 22134522 DOI: 10.1007/s10827-011-0375-3 |
0.763 |
|
2012 |
Archila S, Prinz AA. Investigating synaptic plasticity in the crab Cancer borealis pyloric circuit and in a computational pyloric model network database Bmc Neuroscience. 13. DOI: 10.1186/1471-2202-13-S1-P69 |
0.763 |
|
2012 |
Tang C, Hudson AE, Prinz AA. Reducing the maximal calcium conductance in models of the pyloric network after decentralization prevents recovery Bmc Neuroscience. 13. DOI: 10.1186/1471-2202-13-S1-P67 |
0.703 |
|
2012 |
Günay C, Dharmar L, Sieling F, Baines RA, Prinz AA. A compartmental model of an identified Drosophila larval motoneuron for investigating functional effects of ion channel parameters Bmc Neuroscience. 13. DOI: 10.1186/1471-2202-13-S1-P66 |
0.786 |
|
2012 |
Shim K, Prinz AA, Smolinski TG. Analyzing conductance correlations involved in recovery of bursting after neuromodulator deprivation in lobster stomatogastric neuron models Bmc Neuroscience. 13: P37. DOI: 10.1186/1471-2202-13-S1-P37 |
0.68 |
|
2011 |
Maran SK, Sieling FH, Demla K, Prinz AA, Canavier CC. Responses of a bursting pacemaker to excitation reveal spatial segregation between bursting and spiking mechanisms. Journal of Computational Neuroscience. 31: 419-40. PMID 21360137 DOI: 10.1007/s10827-011-0319-y |
0.749 |
|
2011 |
McKee L, Prinz AA, Smolinski TG. Improving visualization and analysis of relationships between neuronal model parameters in discrete parameter spaces Bmc Neuroscience. 12: P309. DOI: 10.1186/1471-2202-12-S1-P309 |
0.68 |
|
2011 |
Günay C, Prinz AA. An offline correction method for uncompensated series resistance and capacitance artifacts from whole-cell patch clamp recordings of small cells Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P259 |
0.607 |
|
2011 |
Günay C, Dharmar L, Sieling F, Baines R, Prinz AA. A novel model of an identified Drosophila crawl motoneuron for investigating functional effects of ion channel type across larval developmental stages Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P258 |
0.785 |
|
2011 |
Prinz AA, Smolinski TG, Hudson AE. Understanding Animal-to-Animal Variability in Neuronal and Network Properties The Dynamic Brain: An Exploration of Neuronal Variability and Its Functional Significance. DOI: 10.1093/acprof:oso/9780195393798.003.0007 |
0.763 |
|
2011 |
Achuthan S, Sieling FH, Prinz AA, Canavier CC. Phase Resetting in the Presence of Noise and Heterogeneity The Dynamic Brain: An Exploration of Neuronal Variability and Its Functional Significance. DOI: 10.1093/acprof:oso/9780195393798.003.0006 |
0.707 |
|
2010 |
Hudson AE, Archila S, Prinz AA. Identifiable cells in the crustacean stomatogastric ganglion. Physiology (Bethesda, Md.). 25: 311-8. PMID 20940436 DOI: 10.1152/physiol.00019.2010 |
0.754 |
|
2010 |
Sieling FH, Canavier CC, Prinz AA. Inclusion of noise in iterated firing time maps based on the phase response curve. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 81: 061923. PMID 20866456 DOI: 10.1103/PhysRevE.81.061923 |
0.729 |
|
2010 |
Hudson AE, Prinz AA. Conductance ratios and cellular identity. Plos Computational Biology. 6: e1000838. PMID 20628472 DOI: 10.1371/journal.pcbi.1000838 |
0.703 |
|
2010 |
Olypher AV, Prinz AA. Geometry and dynamics of activity-dependent homeostatic regulation in neurons. Journal of Computational Neuroscience. 28: 361-74. PMID 20143143 DOI: 10.1007/s10827-010-0213-z |
0.737 |
|
2010 |
Olypher AV, Lytton WW, Prinz AA. Transformation of inputs in a model of the rat hippocampal CA1 network Bmc Neuroscience. 11. DOI: 10.1186/1471-2202-11-S1-P56 |
0.737 |
|
2010 |
Smolinski TG, Prinz AA. Classifying functional and non-functional model neurons using the theory of rough sets Bmc Neuroscience. 11. DOI: 10.1186/1471-2202-11-S1-P157 |
0.68 |
|
2010 |
Günay C, Dharmar L, Sieling F, Marley R, Lin W, Baines RA, Prinz AA. Modeling Drosophila motoneurons to examine the functional effect of Na channel splice variants Bmc Neuroscience. 11. DOI: 10.1186/1471-2202-11-S1-P147 |
0.779 |
|
2010 |
Sieling FH, Simmers J, Prinz AA, Nargeot R. Changes in electrical coupling via dynamic clamp produces correlates of operant conditioning in the feeding CPG networks of Aplysia Bmc Neuroscience. 11. DOI: 10.1186/1471-2202-11-S1-P1 |
0.729 |
|
2010 |
Smolinski TG, Prinz AA. Rough sets for solving classification problems in computational neuroscience Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6086: 620-629. DOI: 10.1007/978-3-642-13529-3_66 |
0.658 |
|
2009 |
Günay C, Edgerton JR, Li S, Sangrey T, Prinz AA, Jaeger D. Database analysis of simulated and recorded electrophysiological datasets with PANDORA's toolbox. Neuroinformatics. 7: 93-111. PMID 19475520 DOI: 10.1007/s12021-009-9048-z |
0.521 |
|
2009 |
Sieling FH, Canavier CC, Prinz AA. Predictions of phase-locking in excitatory hybrid networks: excitation does not promote phase-locking in pattern-generating networks as reliably as inhibition. Journal of Neurophysiology. 102: 69-84. PMID 19357337 DOI: 10.1152/jn.00091.2009 |
0.729 |
|
2009 |
Hudson AE, Prinz AA. Activity-type dependent conductance relationships in a model neuron database Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-P41 |
0.703 |
|
2009 |
Sieling FH, Canavier CC, Prinz AA. Inclusion of noise in iterated firing time maps based on the PRC Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-P345 |
0.729 |
|
2009 |
Smolinski TG, Prinz AA. Multi-objective evolutionary algorithms for model neuron parameter value selection matching biological behavior under different simulation scenarios Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-P260 |
0.68 |
|
2009 |
Günay C, Prinz AA. Calcium sensor parameters and readout configurations for activity-dependent homeostatic regulation of pyloric network rhythms in the lobster stomatogastric ganglion Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-O4 |
0.607 |
|
2009 |
Gunay C, Prinz AA. Finding sensors for homeostasis of biological neuronal networks using artificial neural networks Proceedings of the International Joint Conference On Neural Networks. 1025-1032. DOI: 10.1109/IJCNN.2009.5178991 |
0.57 |
|
2009 |
Smolinski TG, Prinz AA. Computational Intelligence in modeling of biological neurons: A case study of an invertebrate pacemaker neuron Proceedings of the International Joint Conference On Neural Networks. 2964-2970. DOI: 10.1109/IJCNN.2009.5178722 |
0.658 |
|
2008 |
Hong E, Gurel Kazanci F, Prinz AA. Different roles of related currents in fast and slow spiking of model neurons from two phyla. Journal of Neurophysiology. 100: 2048-61. PMID 18715896 DOI: 10.1152/jn.90567.2008 |
0.745 |
|
2008 |
Smolinski TG, Soto-Treviño C, Rabbah P, Nadim F, Prinz AA. Systematic selection of model parameter values matching biological behavior under different simulation scenarios Bmc Neuroscience. 9. DOI: 10.1186/1471-2202-9-S1-P53 |
0.765 |
|
2008 |
Günay C, Hooper RM, Hammett KR, Prinz AA. Calcium sensor properties for activity-dependent homeostatic regulation of pyloric network rhythms in the lobster stomatogastric ganglion Bmc Neuroscience. 9. DOI: 10.1186/1471-2202-9-S1-P42 |
0.607 |
|
2008 |
Gurel Kazanci F, Maran SK, Prinz AA, Canavier CC. Predicting n:1 locking in pulse coupled two-neuron networks using phase resetting theory Bmc Neuroscience. 9: P136. DOI: 10.1186/1471-2202-9-S1-P136 |
0.745 |
|
2008 |
Maran SK, Sieling FH, Prinz AA, Canavier CC. Predicting excitatory phase resetting curves in bursting neurons Bmc Neuroscience. 9. DOI: 10.1186/1471-2202-9-S1-P134 |
0.729 |
|
2008 |
Sieling FH, Canavier CC, Prinz AA. Predicting phase-locking in excitatory hybrid circuits Bmc Neuroscience. 9. DOI: 10.1186/1471-2202-9-S1-P133 |
0.729 |
|
2007 |
Smolinski TG, Prinz AA, Zurada JM. Hybridization of rough sets and multi-objective evolutionary algorithms for classificatory signal decomposition Rough Computing: Theories, Technologies and Applications. 204-227. DOI: 10.4018/978-1-59904-552-8.ch010 |
0.651 |
|
2007 |
Smolinski TG, Soto-Treviño C, Rabbah P, Nadim F, Prinz AA. Systematic computational exploration of the parameter space of the multi-compartment model of the lobster pyloric pacemaker kernel suggests that the kernel can achieve functional activity under various parameter configurations Bmc Neuroscience. 8. DOI: 10.1186/1471-2202-8-S2-P164 |
0.765 |
|
2006 |
Smolinski TG, Buchanan R, Boratyn GM, Milanova M, Prinz AA. Independent component analysis-motivated approach to classificatory decomposition of cortical evoked potentials. Bmc Bioinformatics. 7: S8. PMID 17118151 DOI: 10.1186/1471-2105-7-S2-S8 |
0.683 |
|
2006 |
Taylor AL, Hickey TJ, Prinz AA, Marder E. Structure and visualization of high-dimensional conductance spaces. Journal of Neurophysiology. 96: 891-905. PMID 16687617 DOI: 10.1152/Jn.00367.2006 |
0.631 |
|
2006 |
Thirumalai V, Prinz AA, Johnson CD, Marder E. Red pigment concentrating hormone strongly enhances the strength of the feedback to the pyloric rhythm oscillator but has little effect on pyloric rhythm period. Journal of Neurophysiology. 95: 1762-70. PMID 16319213 DOI: 10.1152/Jn.00764.2005 |
0.732 |
|
2006 |
Smolinski TG, Milanova M, Boratyn GM, Buchanan R, Prinz AA. Multi-objective evolutionary algorithms and rough sets for decomposition and analysis of cortical evoked potentials 2006 Ieee International Conference On Granular Computing. 635-638. |
0.657 |
|
2006 |
Smolinski TG, Boratyn GM, Milanova M, Buchanan R, Prinz AA. Hybridization of independent component analysis, rough sets, and multi-objective evolutionary algorithms for classificatory decomposition of cortical evoked potentials Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4146: 174-183. |
0.659 |
|
2005 |
Bucher D, Prinz AA, Marder E. Animal-to-animal variability in motor pattern production in adults and during growth. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 25: 1611-9. PMID 15716396 DOI: 10.1523/Jneurosci.3679-04.2005 |
0.737 |
|
2004 |
Prinz AA, Bucher D, Marder E. Similar network activity from disparate circuit parameters. Nature Neuroscience. 7: 1345-52. PMID 15558066 DOI: 10.1038/Nn1352 |
0.737 |
|
2004 |
Prinz AA, Abbott LF, Marder E. The dynamic clamp comes of age. Trends in Neurosciences. 27: 218-24. PMID 15046881 DOI: 10.1016/j.tins.2004.02.004 |
0.527 |
|
2003 |
Prinz AA, Billimoria CP, Marder E. Alternative to hand-tuning conductance-based models: construction and analysis of databases of model neurons. Journal of Neurophysiology. 90: 3998-4015. PMID 12944532 DOI: 10.1152/Jn.00641.2003 |
0.787 |
|
2003 |
Prinz AA, Fromherz P. Effect of neuritic cables on conductance estimates for remote electrical synapses. Journal of Neurophysiology. 89: 2215-24. PMID 12611958 DOI: 10.1152/jn.00956.2002 |
0.549 |
|
2003 |
Prinz AA, Thirumalai V, Marder E. The functional consequences of changes in the strength and duration of synaptic inputs to oscillatory neurons. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 23: 943-54. PMID 12574423 DOI: 10.1523/Jneurosci.23-03-00943.2003 |
0.733 |
|
2003 |
Marder E, Prinz AA. Current compensation in neuronal homeostasis. Neuron. 37: 2-4. PMID 12526765 DOI: 10.1016/S0896-6273(02)01173-X |
0.529 |
|
2002 |
Marder E, Prinz AA. Modeling stability in neuron and network function: the role of activity in homeostasis. Bioessays : News and Reviews in Molecular, Cellular and Developmental Biology. 24: 1145-54. PMID 12447979 DOI: 10.1002/bies.10185 |
0.538 |
|
2002 |
Kupper J, Prinz AA, Fromherz P. Recombinant Kv1.3 potassium channels stabilize tonic firing of cultured rat hippocampal neurons. Pflã¼Gers Archiv : European Journal of Physiology. 443: 541-7. PMID 11907820 DOI: 10.1007/s00424-001-0734-4 |
0.549 |
|
2000 |
Prinz AA, Fromherz P. Electrical synapses by guided growth of cultured neurons from the snail Lymnaea stagnalis. Biological Cybernetics. 82: L1-5. PMID 10804058 DOI: 10.1007/Pl00007969 |
0.549 |
|
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