| Year |
Citation |
Score |
| 2023 |
Megwa OF, Pascual LM, Günay C, Pulver SR, Prinz AA. Temporal dynamics of Na/K pump mediated memory traces: insights from conductance-based models of neurons. Frontiers in Neuroscience. 17: 1154549. PMID 37284663 DOI: 10.3389/fnins.2023.1154549 |
0.649 |
|
| 2023 |
Levenstein D, Alvarez VA, Amarasingham A, Azab H, Chen ZS, Gerkin RC, Hasenstaub A, Iyer R, Jolivet RB, Marzen S, Monaco JD, Prinz AA, Quraishi S, Santamaria F, Shivkumar S, et al. On the Role of Theory and Modeling in Neuroscience. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 43: 1074-1088. PMID 36796842 DOI: 10.1523/JNEUROSCI.1179-22.2022 |
0.629 |
|
| 2022 |
Nicholson DA, Prinz AA. Could simplified stimuli change how the brain performs visual search tasks? A deep neural network study. Journal of Vision. 22: 3. PMID 35675057 DOI: 10.1167/jov.22.7.3 |
0.438 |
|
| 2019 |
McKinnon ML, Tian K, Li Y, Sokoloff AJ, Galvin ML, Choi MH, Prinz A, Hochman S. Dramatically amplified thoracic sympathetic postganglionic excitability and integrative capacity revealed with whole-cell patch clamp recordings. Eneuro. PMID 31040159 DOI: 10.1523/ENEURO.0433-18.2019 |
0.31 |
|
| 2019 |
Prinz AA. Decision letter: Short-term synaptic dynamics control the activity phase of neurons in an oscillatory network Elife. DOI: 10.7554/Elife.46911.014 |
0.432 |
|
| 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 |
0.745 |
|
| 2015 |
Hooper RM, Tikidji-Hamburyan RA, Canavier CC, Prinz AA. Feedback Control of Variability in the Cycle Period of a Central Pattern Generator. Journal of Neurophysiology. jn.00365.2015. PMID 26334008 DOI: 10.1152/jn.00365.2015 |
0.386 |
|
| 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 |
0.758 |
|
| 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 |
0.821 |
|
| 2015 |
Soofi W, Prinz AA. Differential effects of conductances on the phase resetting curve of a bursting neuronal oscillator. Journal of Computational Neuroscience. 38: 539-58. PMID 25835323 DOI: 10.1007/s10827-015-0553-9 |
0.502 |
|
| 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 |
0.773 |
|
| 2014 |
Prinz AA. Neuronal plasticity: how do neurons know what to do? Current Biology : Cb. 24: R1044-6. PMID 25517368 DOI: 10.1016/j.cub.2014.09.064 |
0.493 |
|
| 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 |
0.744 |
|
| 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 |
0.78 |
|
| 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 |
0.334 |
|
| 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 |
0.744 |
|
| 2014 |
Hooper RM, Tikidzhi-Khamburyan RA, Canavier CC, Prinz AA. Estimation of artificial neuron parameters that obtain a required distribution of coupled system periods in a hybrid network Bmc Neuroscience. 15. DOI: 10.1186/1471-2202-15-S1-P64 |
0.49 |
|
| 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 |
0.779 |
|
| 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 |
0.442 |
|
| 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 |
0.828 |
|
| 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 |
0.781 |
|
| 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 |
0.636 |
|
| 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 |
0.771 |
|
| 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 |
0.764 |
|
| 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 |
0.839 |
|
| 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 |
0.784 |
|
| 2012 |
Soofi W, Prinz A. Effect of intrinsic membrane conductances on Phase Resetting Curves in a conductance-based neuron model Bmc Neuroscience. 13. DOI: 10.1186/1471-2202-13-S1-P68 |
0.507 |
|
| 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 |
0.775 |
|
| 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 |
0.823 |
|
| 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 |
0.781 |
|
| 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 |
0.79 |
|
| 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 |
0.731 |
|
| 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 |
0.63 |
|
| 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 |
0.821 |
|
| 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 |
0.81 |
|
| 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 |
0.696 |
|
| 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 |
0.785 |
|
| 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 |
0.767 |
|
| 2010 |
Hudson AE, Prinz AA. Conductance ratios and cellular identity. Plos Computational Biology. 6: e1000838. PMID 20628472 DOI: 10.1371/journal.pcbi.1000838 |
0.756 |
|
| 2010 |
Prinz AA. Computational approaches to neuronal network analysis. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 365: 2397-405. PMID 20603360 DOI: 10.1098/rstb.2010.0029 |
0.495 |
|
| 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 |
0.786 |
|
| 2010 |
Günay C, Prinz AA. Model calcium sensors for network homeostasis: sensor and readout parameter analysis from a database of model neuronal networks. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 30: 1686-98. PMID 20130178 DOI: 10.1523/JNEUROSCI.3098-09.2010 |
0.379 |
|
| 2010 |
Soofi W, Prinz A. Covarying ionic conductances to emulate phase maintenance in stomatogastric neurons Bmc Neuroscience. 11. DOI: 10.1186/1471-2202-11-S1-P60 |
0.54 |
|
| 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 |
0.796 |
|
| 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 |
0.76 |
|
| 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 |
0.8 |
|
| 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 |
0.769 |
|
| 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 |
0.636 |
|
| 2009 |
Canavier CC, Kazanci FG, Prinz AA. Phase resetting curves allow for simple and accurate prediction of robust N:1 phase locking for strongly coupled neural oscillators. Biophysical Journal. 97: 59-73. PMID 19580744 DOI: 10.1016/j.bpj.2009.04.016 |
0.418 |
|
| 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 |
0.537 |
|
| 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 |
0.802 |
|
| 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 |
0.765 |
|
| 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 |
0.766 |
|
| 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 |
0.759 |
|
| 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 |
0.66 |
|
| 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 |
0.644 |
|
| 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 |
0.747 |
|
| 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 |
0.811 |
|
| 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 |
0.815 |
|
| 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 |
0.667 |
|
| 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 |
0.796 |
|
| 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 |
0.807 |
|
| 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 |
0.777 |
|
| 2008 |
Prinz AA. Stability and Plasticity in Neuronal and Network Dynamics Computational Neuroscience in Epilepsy. 247-258. DOI: 10.1016/B978-012373649-9.50019-3 |
0.332 |
|
| 2007 |
Prinz AA. Computational exploration of neuron and neural network models in neurobiology. Methods in Molecular Biology (Clifton, N.J.). 401: 167-79. PMID 18368366 DOI: 10.1007/978-1-59745-520-6_10 |
0.538 |
|
| 2007 |
Prinz A. Neuronal parameter optimization Scholarpedia. 2: 1903. DOI: 10.4249/scholarpedia.1903 |
0.399 |
|
| 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 |
0.635 |
|
| 2007 |
Vargas J, Prinz AA. Does reliable neuromodulation require that neuronal network parameters are tightly regulated? Bmc Neuroscience. 8. DOI: 10.1186/1471-2202-8-S2-P195 |
0.455 |
|
| 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 |
0.774 |
|
| 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 |
0.688 |
|
| 2006 |
Prinz AA. Insights from models of rhythmic motor systems. Current Opinion in Neurobiology. 16: 615-20. PMID 17056249 DOI: 10.1016/j.conb.2006.10.001 |
0.302 |
|
| 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 |
0.684 |
|
| 2006 |
Dong M, Sun X, Prinz AA, Wang HS. Effect of simulated I(to) on guinea pig and canine ventricular action potential morphology. American Journal of Physiology. Heart and Circulatory Physiology. 291: H631-7. PMID 16565319 DOI: 10.1152/Ajpheart.00084.2006 |
0.3 |
|
| 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 |
0.774 |
|
| 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. |
0.649 |
|
| 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. |
0.652 |
|
| 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 |
0.773 |
|
| 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 |
0.785 |
|
| 2004 |
Oprisan SA, Prinz AA, Canavier CC. Phase resetting and phase locking in hybrid circuits of one model and one biological neuron. Biophysical Journal. 87: 2283-98. PMID 15454430 DOI: 10.1529/biophysj.104.046193 |
0.504 |
|
| 2004 |
Prinz AA. Neural networks: models and neurons show hybrid vigor in real time. Current Biology : Cb. 14: R661-2. PMID 15324684 DOI: 10.1016/j.cub.2004.08.012 |
0.494 |
|
| 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 |
0.628 |
|
| 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 |
0.842 |
|
| 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 |
0.638 |
|
| 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 |
0.779 |
|
| 2003 |
Marder E, Prinz AA. Current compensation in neuronal homeostasis. Neuron. 37: 2-4. PMID 12526765 DOI: 10.1016/S0896-6273(02)01173-X |
0.614 |
|
| 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 |
0.637 |
|
| 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 |
0.676 |
|
| 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 |
0.644 |
|
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