| Year |
Citation |
Score |
| 2023 |
Sun Z, Crompton D, Lankarany M, Skinner FK. Reduced oriens-lacunosum/moleculare cell model identifies biophysical current balances for theta frequency spiking resonance. Frontiers in Neural Circuits. 17: 1076761. PMID 36817648 DOI: 10.3389/fncir.2023.1076761 |
0.323 |
|
| 2021 |
Rich S, Moradi Chameh H, Rafiee M, Ferguson K, Skinner FK, Valiante TA. Corrigendum: Inhibitory Network Bistability Explains Increased Interneuronal Activity Prior to Seizure Onset. Frontiers in Neural Circuits. 15: 727442. PMID 34552473 DOI: 10.3389/fncir.2021.727442 |
0.562 |
|
| 2021 |
Guet-McCreight A, Skinner FK. Deciphering how interneuron specific 3 cells control oriens lacunosum-moleculare cells to contribute to circuit function. Journal of Neurophysiology. PMID 34379493 DOI: 10.1152/jn.00204.2021 |
0.334 |
|
| 2021 |
Chatzikalymniou AP, Gumus M, Skinner FK. Linking minimal and detailed models of CA1 microcircuits reveals how theta rhythms emerge and their frequencies controlled. Hippocampus. PMID 34086375 DOI: 10.1002/hipo.23364 |
0.41 |
|
| 2021 |
Skinner FK, Rich S, Lunyov AR, Lefebvre J, Chatzikalymniou AP. A Hypothesis for Theta Rhythm Frequency Control in CA1 Microcircuits. Frontiers in Neural Circuits. 15: 643360. PMID 33967702 DOI: 10.3389/fncir.2021.643360 |
0.369 |
|
| 2020 |
Sekulić V, Yi F, Garrett T, Guet-McCreight A, Lawrence JJ, Skinner FK. Integration of Within-Cell Experimental Data With Multi-Compartmental Modeling Predicts H-Channel Densities and Distributions in Hippocampal OLM Cells. Frontiers in Cellular Neuroscience. 14: 277. PMID 33093823 DOI: 10.3389/fncel.2020.00277 |
0.797 |
|
| 2020 |
Rich S, Moradi Chameh H, Sekulic V, Valiante TA, Skinner FK. Modeling Reveals Human-Rodent Differences in H-Current Kinetics Influencing Resonance in Cortical Layer 5 Neurons. Cerebral Cortex (New York, N.Y. : 1991). PMID 33068000 DOI: 10.1093/cercor/bhaa261 |
0.767 |
|
| 2020 |
Rich S, Hutt A, Skinner FK, Valiante TA, Lefebvre J. Neurostimulation stabilizes spiking neural networks by disrupting seizure-like oscillatory transitions. Scientific Reports. 10: 15408. PMID 32958802 DOI: 10.1038/S41598-020-72335-6 |
0.437 |
|
| 2020 |
Guet-McCreight A, Skinner FK. Computationally going where experiments cannot: a dynamical assessment of dendritic ion channel currents during -like states. F1000research. 9: 180. PMID 32595950 DOI: 10.12688/f1000research.22584.2 |
0.403 |
|
| 2020 |
Guet-McCreight A, Skinner FK, Topolnik L. Common Principles in Functional Organization of VIP/Calretinin Cell-Driven Disinhibitory Circuits Across Cortical Areas. Frontiers in Neural Circuits. 14: 32. PMID 32581726 DOI: 10.3389/fncir.2020.00032 |
0.383 |
|
| 2020 |
Luo X, Guet-McCreight A, Villette V, Francavilla R, Marino B, Chamberland S, Skinner FK, Topolnik L. Corrigendum: Synaptic Mechanisms Underlying the Network State-Dependent Recruitment of VIP-Expressing Interneurons in the CA1 Hippocampus. Cerebral Cortex (New York, N.Y. : 1991). PMID 32249919 DOI: 10.1093/Cercor/Bhaa094 |
0.391 |
|
| 2020 |
Luo X, Guet-McCreight A, Villette V, Francavilla R, Marino B, Chamberland S, Skinner FK, Topolnik L. Synaptic Mechanisms Underlying the Network State-Dependent Recruitment of VIP-Expressing Interneurons in the CA1 Hippocampus. Cerebral Cortex (New York, N.Y. : 1991). PMID 32080739 DOI: 10.1093/Cercor/Bhz334 |
0.483 |
|
| 2020 |
Skinner FK, Nadim F. Decision letter: Theoretical relation between axon initial segment geometry and excitability Elife. DOI: 10.7554/Elife.53432.Sa1 |
0.477 |
|
| 2020 |
Sekulić V, Yi F, Garrett T, Guet-McCreight A, Lawrence JJ, Skinner FK. Integration of Within-Cell Experimental Data With Multi-Compartmental Modeling Predicts H-Channel Densities and Distributions in Hippocampal OLM Cells Frontiers in Cellular Neuroscience. 14. DOI: 10.3389/Fncel.2020.00277 |
0.803 |
|
| 2019 |
Rich S, Chameh HM, Rafiee M, Ferguson K, Skinner FK, Valiante TA. Inhibitory Network Bistability Explains Increased Interneuronal Activity Prior to Seizure Onset. Frontiers in Neural Circuits. 13: 81. PMID 32009908 DOI: 10.3389/Fncir.2019.00081 |
0.654 |
|
| 2019 |
Guet-McCreight A, Skinner FK. Using computational models to predict in vivo synaptic inputs to interneuron specific 3 (IS3) cells of CA1 hippocampus that also allow their recruitment during rhythmic states. Plos One. 14: e0209429. PMID 30620732 DOI: 10.1371/journal.pone.0209429 |
0.456 |
|
| 2018 |
Chatzikalymniou AP, Skinner FK. Deciphering the Contribution of Oriens-Lacunosum/Moleculare (OLM) Cells to Intrinsic θ Rhythms Using Biophysical Local Field Potential (LFP) Models. Eneuro. 5. PMID 30225351 DOI: 10.1523/ENEURO.0146-18.2018 |
0.351 |
|
| 2017 |
Ferguson KA, Chatzikalymniou AP, Skinner FK. Combining Theory, Model, and Experiment to Explain How Intrinsic Theta Rhythms Are Generated in an In Vitro Whole Hippocampus Preparation without Oscillatory Inputs. Eneuro. 4. PMID 28791333 DOI: 10.1523/ENEURO.0131-17.2017 |
0.668 |
|
| 2017 |
Sekulić V, Skinner FK. Computational models of O-LM cells are recruited by low or high theta frequency inputs depending on h-channel distributions. Elife. 6. PMID 28318488 DOI: 10.7554/Elife.22962 |
0.801 |
|
| 2017 |
Sekulić V, Skinner FK. Author response: Computational models of O-LM cells are recruited by low or high theta frequency inputs depending on h-channel distributions Elife. DOI: 10.7554/Elife.22962.022 |
0.783 |
|
| 2017 |
Guet-McCreight A, Luo X, Francavilla R, Topolnik L, Skinner FK. Using computational modeling to estimate synaptic receptor densities along hippocampal CA1 interneuron specific 3 cell dendrites F1000research. 6. DOI: 10.7490/F1000Research.1114780.1 |
0.377 |
|
| 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, ... ... Skinner FK, et al. 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Bmc Neuroscience. 18. DOI: 10.1186/S12868-017-0372-1 |
0.743 |
|
| 2016 |
Guet-McCreight A, Camiré O, Topolnik L, Skinner FK. Using a Semi-Automated Strategy to Develop Multi-Compartment Models That Predict Biophysical Properties of Interneuron-Specific 3 (IS3) Cells in Hippocampus. Eneuro. 3. PMID 27679813 DOI: 10.1523/ENEURO.0087-16.2016 |
0.373 |
|
| 2016 |
Sharpee TO, Destexhe A, Kawato M, Sekulić V, Skinner FK, Wójcik DK, Chintaluri C, Cserpán D, Somogyvári Z, Kim JK, Kilpatrick ZP, Bennett MR, Josić K, Elices I, Arroyo D, et al. 25th Annual Computational Neuroscience Meeting: CNS-2016 Bmc Neuroscience. 17: 54. PMID 27534393 DOI: 10.1186/S12868-016-0283-6 |
0.71 |
|
| 2016 |
Huh CY, Amilhon B, Ferguson KA, Manseau F, Torres-Platas SG, Peach JP, Scodras S, Mechawar N, Skinner FK, Williams S. Excitatory Inputs Determine Phase-Locking Strength and Spike-Timing of CA1 Stratum Oriens/Alveus Parvalbumin and Somatostatin Interneurons during Intrinsically Generated Hippocampal Theta Rhythm. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 36: 6605-22. PMID 27335395 DOI: 10.1523/Jneurosci.3951-13.2016 |
0.649 |
|
| 2016 |
Ferguson K, Huh C, Amilhon B, Williams S, Skinner F. Sharp transitions of gamma coherence in inhibitory networks occur when a biological context and constraints are imposed F1000research. 5. DOI: 10.7490/F1000Research.1112643.1 |
0.616 |
|
| 2015 |
Ferguson KA, Njap F, Nicola W, Skinner FK, Campbell SA. Examining the limits of cellular adaptation bursting mechanisms in biologically-based excitatory networks of the hippocampus. Journal of Computational Neuroscience. PMID 26464038 DOI: 10.1007/S10827-015-0577-1 |
0.775 |
|
| 2015 |
Ferguson KA, Huh CY, Amilhon B, Manseau F, Williams S, Skinner FK. Network models provide insights into how oriens-lacunosum-moleculare and bistratified cell interactions influence the power of local hippocampal CA1 theta oscillations. Frontiers in Systems Neuroscience. 9: 110. PMID 26300744 DOI: 10.3389/Fnsys.2015.00110 |
0.692 |
|
| 2015 |
Sekuli? V, Chen TC, Lawrence JJ, Skinner FK. Dendritic distributions of I h channels in experimentally-derived multi-compartment models of oriens-lacunosum/moleculare (O-LM) hippocampal interneurons. Frontiers in Synaptic Neuroscience. 7: 2. PMID 25774132 DOI: 10.3389/Fnsyn.2015.00002 |
0.421 |
|
| 2015 |
Ferguson KA, Huh CYL, Amiihon B, Manseau F, Williams S, Skinner FK. Network models provide insights into how oriens-lacunosum-moleculare and bistratified cell interactions influence the power of local hippocampal CA1 theta oscillations Frontiers in Systems Neuroscience. 9. DOI: 10.3389/fnsys.2015.00110 |
0.614 |
|
| 2014 |
Ferguson KA, Huh CY, Amilhon B, Williams S, Skinner FK. Simple, biologically-constrained CA1 pyramidal cell models using an intact, whole hippocampus context. F1000research. 3: 104. PMID 25383182 DOI: 10.12688/F1000Research.3894.1 |
0.704 |
|
| 2014 |
Sekuli? V, Lawrence JJ, Skinner FK. Using multi-compartment ensemble modeling as an investigative tool of spatially distributed biophysical balances: application to hippocampal oriens-lacunosum/moleculare (O-LM) cells. Plos One. 9: e106567. PMID 25360752 DOI: 10.1371/Journal.Pone.0106567 |
0.45 |
|
| 2014 |
Ho EC, Eubanks JH, Zhang L, Skinner FK. Network models predict that reduced excitatory fluctuations can give rise to hippocampal network hyper-excitability in MeCP2-null mice. Plos One. 9: e91148. PMID 24642514 DOI: 10.1371/journal.pone.0091148 |
0.435 |
|
| 2014 |
Guet-McCreight A, Camiré O, Topolnik L, Skinner F. Modeling interneuron-specific (IS) interneurons in hippocampus Bmc Neuroscience. 15. DOI: 10.1186/1471-2202-15-S1-P44 |
0.497 |
|
| 2014 |
Sekulić V, Chen T, Lawrence JJ, Skinner FK. Non-uniform dendritic distributions of Ihchannels in experimentally-derived multi-compartment models of oriens-lacunosum/moleculare hippocampal interneurons Bmc Neuroscience. 15. DOI: 10.1186/1471-2202-15-S1-P43 |
0.8 |
|
| 2014 |
Ferguson KA, Huh CY, Amilhon B, Williams S, Skinner FK. Network models provide insight into how oriens-lacunosum-moleculare (OLM) and bistratified cell (BSC) interactions influence local CA1 theta rhythms Bmc Neuroscience. 15: P42. DOI: 10.1186/1471-2202-15-S1-P42 |
0.704 |
|
| 2014 |
Nicola W, Njap F, Ferguson K, Skinner F, Campbell SA. Mean field analysis gives accurate predictions of the behaviour of large networks of sparsely coupled and heterogeneous neurons Bmc Neuroscience. 15. DOI: 10.1186/1471-2202-15-S1-O3 |
0.767 |
|
| 2014 |
Skinner FK. Balancing and tight coupling: an approach to determine dynamic mechanisms of biological brain networks Bmc Neuroscience. 15: 1-1. DOI: 10.1186/1471-2202-15-S1-A3 |
0.412 |
|
| 2013 |
Skinner FK, Ferguson KA. Modeling oscillatory dynamics in brain microcircuits as a way to help uncover neurological disease mechanisms: a proposal. Chaos (Woodbury, N.Y.). 23: 046108. PMID 24387587 DOI: 10.1063/1.4829620 |
0.652 |
|
| 2013 |
Skinner FK. Moving beyond Type I and Type II neuron types. F1000research. 2: 19. PMID 24358846 DOI: 10.12688/f1000research.2-19.v1 |
0.39 |
|
| 2013 |
Ferguson KA, Huh CY, Amilhon B, Williams S, Skinner FK. Experimentally constrained CA1 fast-firing parvalbumin-positive interneuron network models exhibit sharp transitions into coherent high frequency rhythms. Frontiers in Computational Neuroscience. 7: 144. PMID 24155715 DOI: 10.3389/Fncom.2013.00144 |
0.698 |
|
| 2013 |
Ferguson KA, Huh CY, Amilhon B, Williams S, Skinner FK. Sharp transitions of gamma coherence in inhibitory networks occur when a biological context and constraints are imposed Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P365 |
0.68 |
|
| 2012 |
Ho EC, Strüber M, Bartos M, Zhang L, Skinner FK. Inhibitory networks of fast-spiking interneurons generate slow population activities due to excitatory fluctuations and network multistability. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 32: 9931-46. PMID 22815508 DOI: 10.1523/JNEUROSCI.5446-11.2012 |
0.476 |
|
| 2012 |
Sritharan D, Skinner FK. Fluctuating inhibitory inputs promote reliable spiking at theta frequencies in hippocampal interneurons. Frontiers in Computational Neuroscience. 6: 30. PMID 22654751 DOI: 10.3389/fncom.2012.00030 |
0.465 |
|
| 2012 |
Skinner FK. Cellular-based modeling of oscillatory dynamics in brain networks. Current Opinion in Neurobiology. 22: 660-9. PMID 22377416 DOI: 10.1016/j.conb.2012.02.001 |
0.425 |
|
| 2012 |
Dur-e-Ahmad M, Nicola W, Campbell SA, Skinner FK. Network bursting using experimentally constrained single compartment CA3 hippocampal neuron models with adaptation. Journal of Computational Neuroscience. 33: 21-40. PMID 22131133 DOI: 10.1007/S10827-011-0372-6 |
0.698 |
|
| 2012 |
Sekulic V, Lawrence J, Skinner FK. Using model databases to determine dendritic distributions of Ihchannels in oriens-lacunosum/moleculare hippocampal interneurons Bmc Neuroscience. 13. DOI: 10.1186/1471-2202-13-S1-P41 |
0.794 |
|
| 2012 |
Ferguson KA, Huh CY, Amilhon B, Murugesu R, Williams S, Skinner FK. Experimentally constrained network model of hippocampal fast-firing parvalbumin-positive interneurons Bmc Neuroscience. 13. DOI: 10.1186/1471-2202-13-S1-O5 |
0.707 |
|
| 2011 |
Ferguson KA, Huh CY, Amilhon B, Williams S, Skinner FK. Basket cell contributions to the generation of theta rhythms in model hippocampal CA1 networks Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P305 |
0.694 |
|
| 2010 |
Morin F, Haufler D, Skinner FK, Lacaille JC. Characterization of voltage-gated K+ currents contributing to subthreshold membrane potential oscillations in hippocampal CA1 interneurons. Journal of Neurophysiology. 103: 3472-89. PMID 20393060 DOI: 10.1152/jn.00848.2009 |
0.304 |
|
| 2010 |
Gillis JA, Zhang L, Skinner FK. Spatial coherence and stationarity of local field potentials in an isolated whole hippocampal preparation in vitro. Journal of Computational Neuroscience. 29: 521-32. PMID 20082133 DOI: 10.1007/s10827-009-0207-x |
0.308 |
|
| 2009 |
Zahid T, Skinner FK. Predicting synchronous and asynchronous network groupings of hippocampal interneurons coupled with dendritic gap junctions. Brain Research. 1262: 115-29. PMID 19171126 DOI: 10.1016/j.brainres.2008.12.068 |
0.45 |
|
| 2009 |
Ho EC, Zhang L, Skinner FK. Inhibition dominates in shaping spontaneous CA3 hippocampal network activities in vitro. Hippocampus. 19: 152-65. PMID 18831055 DOI: 10.1002/hipo.20493 |
0.446 |
|
| 2009 |
Ho EC, Zhang L, Skinner FK. Slow population rhythms emerge in noisy inhibitory network models Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-P156 |
0.473 |
|
| 2009 |
Zahid T, Skinner FK. Corrigendum to "Predicting synchronous and asynchronous network groupings of hippocampal interneurons coupled with dendritic gap junctions" [Brain Res. 1262 (2009) 115-129] (DOI:10.1016/j.brainres.2008.12.068) Brain Research. 1304: 187. DOI: 10.1016/j.brainres.2009.09.067 |
0.383 |
|
| 2008 |
Ho EC, Zhang L, Skinner FK. Inhibition dominates in shaping in vitro spontaneous hippocampal network rhythms Bmc Neuroscience. 9. DOI: 10.1186/1471-2202-9-S1-P3 |
0.33 |
|
| 2008 |
Zahid T, Skinner FK. Predicting synchrony and asynchrony in basket cell networks coupled by multiple dendritic gap junctions Bmc Neuroscience. 9: 146. DOI: 10.1186/1471-2202-9-S1-P146 |
0.503 |
|
| 2008 |
Haufler D, Morin F, Lacaille J, Skinner F. Characterizing the transient K+current contribution to subthreshold membrane potential oscillations in a hippocampal interneuron model Bmc Neuroscience. 9. DOI: 10.1186/1471-2202-9-S1-O7 |
0.313 |
|
| 2007 |
Ho EC, Zhang L, Skinner FK. The balance of synaptic conductances in shaping hippocampal population rhythms Bmc Neuroscience. 8. DOI: 10.1186/1471-2202-8-S2-P35 |
0.439 |
|
| 2007 |
Skinner FK. Toward direct links between model networks and experimental data Neurocomputing. 70: 1858-1862. DOI: 10.1016/j.neucom.2006.10.058 |
0.468 |
|
| 2007 |
Haufler D, Morin F, Lacaille JC, Skinner FK. Parameter estimation in single-compartment neuron models using a synchronization-based method Neurocomputing. 70: 1605-1610. DOI: 10.1016/j.neucom.2006.10.041 |
0.325 |
|
| 2006 |
Lawrence JJ, Saraga F, Churchill JF, Statland JM, Travis KE, Skinner FK, McBain CJ. Somatodendritic Kv7/KCNQ/M channels control interspike interval in hippocampal interneurons. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 26: 12325-38. PMID 17122058 DOI: 10.1523/Jneurosci.3521-06.2006 |
0.336 |
|
| 2006 |
Wu CP, Huang HL, Asl MN, He JW, Gillis J, Skinner FK, Zhang L. Spontaneous rhythmic field potentials of isolated mouse hippocampal-subicular-entorhinal cortices in vitro. The Journal of Physiology. 576: 457-76. PMID 16887877 DOI: 10.1113/jphysiol.2006.114918 |
0.366 |
|
| 2006 |
Saraga F, Ng L, Skinner FK. Distal gap junctions and active dendrites can tune network dynamics. Journal of Neurophysiology. 95: 1669-82. PMID 16339003 DOI: 10.1152/jn.00662.2005 |
0.497 |
|
| 2006 |
Gillis JA, Zhang L, Skinner FK. Deficiencies in traditional measures of in vitro hippocampal rhythms Neurocomputing. 69: 1385-1390. DOI: 10.1016/j.neucom.2005.12.112 |
0.337 |
|
| 2006 |
Saraga F, Zhang XL, Zhang L, Carlen PL, Skinner FK. Exploring gap junction location and density in electrically coupled hippocampal oriens interneurons Neurocomputing. 69: 1048-1052. DOI: 10.1016/J.Neucom.2005.12.043 |
0.428 |
|
| 2005 |
Gillis JA, Luk WP, Zhang L, Skinner FK. Decomposing rhythmic hippocampal data to obtain neuronal correlates. Journal of Neuroscience Methods. 147: 99-113. PMID 15890411 DOI: 10.1016/j.jneumeth.2005.03.006 |
0.399 |
|
| 2005 |
Skinner FK, Bazzazi H, Campbell SA. Two-cell to N-cell heterogeneous, inhibitory networks: precise linking of multistable and coherent properties. Journal of Computational Neuroscience. 18: 343-52. PMID 15830170 DOI: 10.1007/S10827-005-0331-1 |
0.682 |
|
| 2005 |
Wu C, Asl MN, Gillis J, Skinner FK, Zhang L. An in vitro model of hippocampal sharp waves: regional initiation and intracellular correlates. Journal of Neurophysiology. 94: 741-53. PMID 15772241 DOI: 10.1152/jn.00086.2005 |
0.319 |
|
| 2005 |
Skinner FK, Chung JY, Ncube I, Murray PA, Campbell SA. Using heterogeneity to predict inhibitory network model characteristics. Journal of Neurophysiology. 93: 1898-907. PMID 15548628 DOI: 10.1152/Jn.00619.2004 |
0.684 |
|
| 2005 |
Wu C, Luk WP, Gillis J, Skinner F, Zhang L. Size does matter: Generation of intrinsic network rhythms in thick mouse hippocampal slices Journal of Neurophysiology. 93: 2302-2317. PMID 15537814 DOI: 10.1152/jn.00806.2004 |
0.422 |
|
| 2005 |
Gillis JA, Luk WP, Zhang L, Skinner FK. Characterizing in vitro hippocampal ripples using time-frequency analysis Neurocomputing. 65: 357-364. DOI: 10.1016/j.neucom.2004.10.029 |
0.325 |
|
| 2005 |
Murray PA, Skinner FK. Reduced kinetic schemes of short-term synaptic plasticity in inhibitory network models Neurocomputing. 65: 323-329. DOI: 10.1016/j.neucom.2004.10.025 |
0.347 |
|
| 2004 |
Jalil S, Grigull J, Skinner FK. Novel bursting patterns emerging from model inhibitory networks with synaptic depression. Journal of Computational Neuroscience. 17: 31-45. PMID 15218352 DOI: 10.1023/B:JCNS.0000023870.23322.0a |
0.402 |
|
| 2004 |
Saraga F, Skinner FK. Location, location, location (and density) of gap junctions in multi-compartment models Neurocomputing. 58: 713-719. DOI: 10.1016/j.neucom.2004.01.118 |
0.462 |
|
| 2003 |
Saraga F, Wu CP, Zhang L, Skinner FK. Active dendrites and spike propagation in multi-compartment models of oriens-lacunosum/moleculare hippocampal interneurons. The Journal of Physiology. 552: 673-89. PMID 12923216 DOI: 10.1113/jphysiol.2003.046177 |
0.344 |
|
| 2003 |
Skinner FK, Liu JB. NNET: Linking small- and large-scale network models Neurocomputing. 52: 381-387. DOI: 10.1016/S0925-2312(02)00844-5 |
0.458 |
|
| 2003 |
Saraga F, Skinner FK. Spike initiation in a hippocampal interneuron model Neurocomputing. 52: 185-189. DOI: 10.1016/S0925-2312(02)00835-4 |
0.432 |
|
| 2002 |
Baker PM, Pennefather PS, Orser BA, Skinner FK. Disruption of coherent oscillations in inhibitory networks with anesthetics: role of GABA(A) receptor desensitization. Journal of Neurophysiology. 88: 2821-33. PMID 12424315 DOI: 10.1152/jn.00052.2002 |
0.76 |
|
| 2002 |
Saraga F, Skinner FK. Dynamics and diversity in interneurons: a model exploration with slowly inactivating potassium currents. Neuroscience. 113: 193-203. PMID 12123697 DOI: 10.1016/S0306-4522(02)00168-9 |
0.408 |
|
| 2002 |
Saraga F, Skinner FK. Slowly-inactivating potassium conductances in compartmental interneuron models Neurocomputing. 44: 161-166. DOI: 10.1016/S0925-2312(02)00378-8 |
0.405 |
|
| 2002 |
Baker PM, Skinner FK. Modulation of coherent oscillations in inhibitory networks by anesthetics Neurocomputing. 44: 293-299. DOI: 10.1016/S0925-2312(02)00355-7 |
0.769 |
|
| 2001 |
Skinner FK, Wu C, Zhang L. Phase-coupled oscillator models can predict hippocampal inhibitory synaptic connections. The European Journal of Neuroscience. 13: 2183-94. PMID 11454021 DOI: 10.1046/j.0953-816X.2001.01594.x |
0.381 |
|
| 2001 |
Perez Velazquez JL, Carlen PL, Skinner FK. Artificial electrotonic coupling affects neuronal firing patterns depending upon cellular characteristics. Neuroscience. 103: 841-9. PMID 11274798 DOI: 10.1016/S0306-4522(01)00019-7 |
0.363 |
|
| 2001 |
Jazayeri M, Zhang L, Skinner FK. A dynamical feedback mechanism for the generation of hippocampal field rhythms Neurocomputing. 38: 683-689. DOI: 10.1016/S0925-2312(01)00439-8 |
0.598 |
|
| 2001 |
Baker PM, Grigull J, Pennefather PS, Orser BA, Skinner FK. Frequency switches in inhibitory networks with anesthetics Neurocomputing. 38: 467-474. DOI: 10.1016/S0925-2312(01)00385-X |
0.433 |
|
| 2000 |
Carlen PL, Skinner F, Zhang L, Naus C, Kushnir M, Perez Velazquez JL. The role of gap junctions in seizures Brain Research Reviews. 32: 235-241. PMID 10751673 DOI: 10.1016/S0165-0173(99)00084-3 |
0.315 |
|
| 1999 |
Skinner FK, Zhang L, Velazquez JL, Carlen PL. Bursting in inhibitory interneuronal networks: A role for gap-junctional coupling. Journal of Neurophysiology. 81: 1274-83. PMID 10085354 DOI: 10.1152/Jn.1999.81.3.1274 |
0.439 |
|
| 1999 |
Skinner FK, Zhang L, Velazquez JLP, Carlen PL. Gap junctions are needed to stabilize slow bursting behaviour Neurocomputing. 26: 517-523. DOI: 10.1016/S0925-2312(99)00043-0 |
0.448 |
|
| 1998 |
Mulloney B, Skinner FK, Namba H, Hall WM. Intersegmental coordination of swimmeret movements: mathematical models and neural circuits. Annals of the New York Academy of Sciences. 860: 266-80. PMID 9928318 DOI: 10.1111/j.1749-6632.1998.tb09055.x |
0.703 |
|
| 1998 |
Skinner FK, Mulloney B. Intersegmental coordination in invertebrates and vertebrates. Current Opinion in Neurobiology. 8: 725-32. PMID 9914235 DOI: 10.1016/S0959-4388(98)80114-1 |
0.635 |
|
| 1998 |
Skinner FK, Mulloney B. Intersegmental coordination of limb movements during locomotion: mathematical models predict circuits that drive swimmeret beating. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 18: 3831-42. PMID 9570812 DOI: 10.1523/Jneurosci.18-10-03831.1998 |
0.636 |
|
| 1998 |
Zhang Y, Perez Velazquez JL, Tian GF, Wu C, Skinner FK, Carlen PL, Zhang L. Slow Oscillations (≤1 Hz) Mediated by GABAergic Interneuronal Networks in Rat Hippocampus The Journal of Neuroscience. 18: 9256-9268. DOI: 10.1523/Jneurosci.18-22-09256.1998 |
0.413 |
|
| 1997 |
Skinner FK, Kopell N, Mulloney B. How does the crayfish swimmeret system work? Insights from nearest-neighbor coupled oscillator models. Journal of Computational Neuroscience. 4: 151-60. PMID 9154521 DOI: 10.1023/A:1008891328882 |
0.661 |
|
| 1996 |
Sharp AA, Skinner FK, Marder E. Mechanisms of oscillation in dynamic clamp constructed two-cell half-center circuits. Journal of Neurophysiology. 76: 867-83. PMID 8871205 DOI: 10.1152/Jn.1996.76.2.867 |
0.61 |
|
| 1994 |
Skinner FK, Kopell N, Marder E. Mechanisms for oscillation and frequency control in reciprocally inhibitory model neural networks. Journal of Computational Neuroscience. 1: 69-87. PMID 8792226 DOI: 10.1007/BF00962719 |
0.617 |
|
| 1993 |
Skinner FK, Turrigiano GG, Marder E. Frequency and burst duration in oscillating neurons and two-cell networks. Biological Cybernetics. 69: 375-83. PMID 8274537 DOI: 10.1007/BF00199437 |
0.738 |
|
| 1991 |
Skinner FK, Bardakjian BL. A barrier kinetic mapping unit: Application to ionic transport in gastric smooth muscle Journal of Gastrointestinal Motility. 3: 213-224. DOI: 10.1111/J.1365-2982.1991.Tb00064.X |
0.314 |
|
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