Calcium-Activated SK Channels Influence Voltage-Gated Ion Channels to Determine the Precision of Firing in Globus Pallidus Neurons
Open accessAbstract
Globus pallidus (GP) neurons fire rhythmically in the absence of synaptic input, suggesting that they may encode their inputs as changes in the phase of their rhythmic firing. Action potential afterhyperpolarization (AHP) enhances precision of firing by ensuring that the ion channels recover from inactivation by the same amount on each cycle. Voltage-clamp experiments in slices showed that the longest component of the GP neuron's AHP is blocked by apamin, a selective antagonist of calcium-activated SK channels. Application of 100 nm apamin also disrupted the precision of firing in perforated-patch and cell-attached recordings. SK channel blockade caused a small depolarization in spike threshold and made it more variable, but there was no reduction in the maximal rate of rise during an action potential. Thus, the firing irregularity was not caused solely by a reduction in voltage-gated Na(+) channel availability. Subthreshold voltage ramps triggered a large outward current that was sensitive to the initial holding potential and had properties similar to the A-type K(+) current in GP neurons. In numerical simulations, the availability of both Na(+) and A-type K(+) channels during autonomous firing were reduced when SK channels were removed, and a nearly equal reduction in Na(+) and K(+) subthreshold-activated ion channel availability produced a large decrease in the neuron's slope conductance near threshold. This change made the neuron more sensitive to intrinsically generated noise. In vivo, this change would also enhance the sensitivity of GP neurons to small synaptic inputs.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
One principal feedback mechanism in the control of the frequency and patterning of neuronal firing is afterhyperpolarization (AHP).
“One principal feedback mechanism in the control of the frequency and patterning of neuronal firing is afterhyperpolarization, or AHP [74–76].”
From Chronic unpredictable stress induces depression-related behaviors by suppressing AgRP neuron activity (2021) · cites this paper as [76]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Frequency Dependence of Signal Power and Spatial Reach of the Local Field Potential
Leski, S., Lindén, H., Tetzlaff, T., Pettersen, K. H., & Einevoll, G. T. (2013) · PubMed Central · doi:10.18154/rwth-conv-084442 · Cited by 3,662 · see citing works
The effect of the cardiac membrane potential on the rapid availability of the sodium‐carrying system
Weidmann, S. (1955) · The Journal of Physiology · doi:10.1113/jphysiol.1955.sp005250 · Cited by 764 · see citing works
Coordinated Expression of Dopamine Receptors in Neostriatal Medium Spiny Neurons
Surmeier, D. J., Song, W., & Yan, Z. (1996) · Journal of Neuroscience · doi:10.1523/jneurosci.16-20-06579.1996 · Cited by 747 · see citing works
Self-citationActivity of pallidal neurons during movement.
DeLong, M. R. (1971) · Journal of Neurophysiology · doi:10.1152/jn.1971.34.3.414 · Cited by 730 · see citing works
Nini, A., Feingold, A., Slovin, H., & Bergman, H. (1995) · Journal of Neurophysiology · doi:10.1152/jn.1995.74.4.1800 · Cited by 653 · see citing works
Neuron: A Tool for Neuroscientists
Hines, M. L., & Carnevale, N. T. (2001) · The Neuroscientist · doi:10.1177/107385840100700207 · Cited by 639 · see citing works
Raz, A., Vaadia, E., & Bergman, H. (2000) · Journal of Neuroscience · doi:10.1523/jneurosci.20-22-08559.2000 · Cited by 567 · see citing works
Stocker, M., & Pedarzani, P. (2000) · Molecular and Cellular Neuroscience · doi:10.1006/mcne.2000.0842 · Cited by 374 · see citing works
Slow recovery from inactivation of inward currents in mammalian myocardial fibres
Gettes, L. S., & REUTER, H. (1974) · The Journal of Physiology · doi:10.1113/jphysiol.1974.sp010630 · Cited by 323 · see citing works
Tuning pacemaker frequency of individual dopaminergic neurons by Kv4.3L and KChip3.1 transcription
Liss, B., Franz, O., Sewing, S., Bruns, R., Neuhoff, H., & Roeper, J. (2001) · The EMBO Journal · doi:10.1093/emboj/20.20.5715 · Cited by 292 · see citing works
Levy, R., Hutchison, W. D., Lozano, A. M., & Dostrovsky, J. O. (2002) · Journal of Neuroscience · doi:10.1523/jneurosci.22-07-02855.2002 · Cited by 290 · see citing works
Kita, H., & Kitai, S. T. (1991) · Brain Research · doi:10.1016/0006-8993(91)91466-e · Cited by 286 · see citing works
Determinants of Apamin and d-Tubocurarine Block in SK Potassium Channels
Ishii, T. M., Maylie, J., & Adelman, J. P. (1997) · Journal of Biological Chemistry · doi:10.1074/jbc.272.37.23195 · Cited by 274 · see citing works
Colbert, C. M., Magee, J. C., Hoffman, D. A., & Johnston, D. (1997) · Journal of Neuroscience · doi:10.1523/jneurosci.17-17-06512.1997 · Cited by 263 · see citing works
Reliability, synchrony and noise
Ermentrout, B., Galán, R. F., & Urban, N. N. (2008) · Trends in Neurosciences · doi:10.1016/j.tins.2008.06.002 · Cited by 262 · see citing works
Molecular kinetics of voltage-dependent Na+ channels
Patlak, J. B. (1991) · Physiological Reviews · doi:10.1152/physrev.1991.71.4.1047 · Cited by 244 · see citing works
Strøbæk, D., Teuber, L., Dyhring, T., Ahring, P. K., Kjær, K., Hansen, R. S., Olesen, S., Christophersen, P., & Skaaning-Jensen, B. (2004) · Biochimica et Biophysica Acta (BBA) - Biomembranes · doi:10.1016/j.bbamem.2004.07.006 · Cited by 200 · see citing works
Sailer, C. A., Kaufmann, W. A., Marksteiner, J., & Knaus, H. (2004) · Molecular and Cellular Neuroscience · doi:10.1016/j.mcn.2004.03.002 · Cited by 185 · see citing works
Chan, C. S., Shigemoto, R., Mercer, J. N., & Surmeier, D. J. (2004) · Journal of Neuroscience · doi:10.1523/jneurosci.2162-04.2004 · Cited by 178 · see citing works
Self-citationTkatch, T., Baranauskas, G., & Surmeier, D. J. (2000) · Journal of Neuroscience · doi:10.1523/jneurosci.20-02-00579.2000 · Cited by 164 · see citing works
Self-citationPedarzani, P., McCutcheon, J. E., Rogge, G., Jensen, B., Christophersen, P., Hougaard, C. Ø., Strøbæk, D., & Stocker, M. (2005) · Journal of Biological Chemistry · doi:10.1074/jbc.m509610200 · Cited by 158 · see citing works
Hougaard, C. Ø., Eriksen, B. L., Jørgensen, S., Johansen, T. H., Dyhring, T., Madsen, L. S., Strøbæk, D., & Christophersen, P. (2007) · British Journal of Pharmacology · doi:10.1038/sj.bjp.0707281 · Cited by 156 · see citing works
Contrasting Effects of the Persistent Na+ Current on Neuronal Excitability and Spike Timing
Vervaeke, K., Hu, H., Graham, L. J., & Storm, J. F. (2006) · Neuron · doi:10.1016/j.neuron.2005.12.022 · Cited by 152 · see citing works
Parvalbumin-immunopositive neurons in rat globus pallidus: a light and electron microscopic study
Kita, H. (1994) · Brain Research · doi:10.1016/0006-8993(94)90950-4 · Cited by 133 · see citing works
Günay, C., Edgerton, J. R., & Jaeger, D. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.4198-07.2008 · Cited by 124 · see citing works
Membrane-potential trajectories between spikes underlying motoneuron firing rates.
Schwindt, P. C., & Calvin, W. H. (1972) · Journal of Neurophysiology · doi:10.1152/jn.1972.35.3.311 · Cited by 120 · see citing works
Nav1.6 Sodium Channels Are Critical to Pacemaking and Fast Spiking in Globus Pallidus Neurons
Mercer, J. N., Chan, C. S., Tkatch, T., Held, J. E., & Surmeier, D. J. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.3430-07.2007 · Cited by 119 · see citing works
Self-citationBaranauskas, G., Tkatch, T., & Surmeier, D. J. (1999) · Journal of Neuroscience · doi:10.1523/jneurosci.19-15-06394.1999 · Cited by 106 · see citing works
Self-citationHernandez-Pineda, R., Chow, A., Amarillo, Y., Moreno, H., Saganich, M. J., de Miera, E. V., Hernández‐Cruz, A., & Rudy, B. (1999) · Journal of Neurophysiology · doi:10.1152/jn.1999.82.3.1512 · Cited by 92 · see citing works
Gardiner, T. W., & Kitai, S. T. (1992) · Experimental Brain Research · doi:10.1007/bf00228181 · Cited by 91 · see citing works
Synchrony of limit-cycle oscillators induced by random external impulses
Nakao, H., Arai, K., NAGAI, K. H., Tsubo, Y., & Kuramoto, Y. (2005) · Physical Review E · doi:10.1103/physreve.72.026220 · Cited by 82 · see citing works
Khaliq, Z. M., & Bean, B. P. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.2237-08.2008 · Cited by 77 · see citing works
Independent Neuronal Oscillators of the Rat Globus Pallidus
Stanford, I. M. (2003) · Journal of Neurophysiology · doi:10.1152/jn.00864.2002 · Cited by 76 · see citing works
Coordinated Expression of Dopamine Receptors in Neostriatal Medium Spiny Neurons
Surmeier, D. J., Yan, Z., & Song, W. (1997) · Advances in pharmacology · doi:10.1016/s1054-3589(08)60921-7 · Cited by 61 · see citing works
Self-citationmRNAs for clozapine-sensitive receptors co-localize in rat prefrontal cortex neurons
Vysokanov, A., Flores‐Hernández, J., & Surmeier, D. J. (1998) · Neuroscience Letters · doi:10.1016/s0304-3940(98)00882-9 · Cited by 58 · see citing works
Self-citationRamanathan, S., Tkatch, T., Atherton, J. F., Wilson, C. J., & Bevan, M. D. (2007) · Journal of Neurophysiology · doi:10.1152/jn.00998.2007 · Cited by 53 · see citing works
Self-citationJackson, A. C., & Bean, B. P. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.0935-07.2007 · Cited by 37 · see citing works
Partial phase synchronization of neural populations due to random Poisson inputs
Danzl, P., Hansen, R., Bonnet, G., & Moehlis, J. (2007) · Journal of Computational Neuroscience · doi:10.1007/s10827-007-0069-z · Cited by 19 · see citing works
Slow oscillatory activity of rat globus pallidus neurons in vitro
Hashimoto, K., & Kita, H. (2006) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2005.04582.x · Cited by 18 · see citing works
Sachdev, R. N. S., Gilman, S., & Aldridge, J. W. (1991) · Brain Research · doi:10.1016/0006-8993(91)90458-8 · Cited by 12 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Pissadaki, E. K., & Bolam, J. P. (2013) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2013.00013 · Cited by 349 · see citing works
Nevado‐Holgado, A. J., Terry, J. R., & Bogacz, R. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.0817-10.2010 · Cited by 284 · see citing works
Prototypic and arkypallidal neurons in the dopamine-intact external globus pallidus
Abdi, A., Mallet, N., Mohamed, F. Y., Sharott, A., Dodson, P. D., Nakamura, K. C., Suri, S., Avery, S. V., Larvin, J. T., Garas, F. N., et al. (2015) · The Journal of Neuroscience · doi:10.1523/jneurosci.4662-14.2015 · Cited by 247 · see citing works
Mastro, K. J., Bouchard, R. S., Holt, H. A. K., & Gittis, A. H. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.4646-13.2014 · Cited by 198 · see citing works
Pavlides, A., Hogan, S. J., & Bogacz, R. (2015) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004609 · Cited by 172 · see citing works
The external globus pallidus: progress and perspectives
Hegeman, D. J., Hong, E. S., Hernández, V. M., & Chan, C. S. (2016) · European Journal of Neuroscience · doi:10.1111/ejn.13196 · Cited by 149 · see citing works
Self-citationHernandez, V. M., Hegeman, D. J., Cui, Q., Kelver, D. A., Fiske, M. P., Glajch, K. E., Pitt, J. E., Huang, T. Y., Justice, N. J., & Chan, C. S. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.4672-14.2015 · Cited by 142 · see citing works
Self-citationCudmore, R. H., Fronzaroli-Molinieres, L., Giraud, P., & Debanne, D. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.0740-10.2010 · Cited by 106 · see citing works
Functional connectivity and integrative properties of globus pallidus neurons
Jaeger, D., & Kita, H. (2011) · Neuroscience · doi:10.1016/j.neuroscience.2011.07.050 · Cited by 100 · see citing works
Nevado‐Holgado, A. J., Mallet, N. P., Magill, P. J., & Bogacz, R. (2013) · The Journal of Physiology · doi:10.1113/jphysiol.2013.259721 · Cited by 94 · see citing works
Active decorrelation in the basal ganglia
Wilson, C. J. (2013) · Neuroscience · doi:10.1016/j.neuroscience.2013.07.032 · Cited by 96 · see citing works
Self-citationÜnal, Ç. T., Golowasch, J., & Záborszky, L. (2012) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2012.00021 · Cited by 96 · see citing works
Fang, X., Jiang, S., Wang, J., Bai, Y., Kim, C. S., Blake, D., Weintraub, N. L., Lei, Y., & Lu, X.-Y. (2021) · Molecular Psychiatry · doi:10.1038/s41380-020-01004-x · Cited by 95 · see citing works
Cellular and Synaptic Dysfunctions in Parkinson’s Disease: Stepping Out of the Striatum
Mallet, N. P., Delgado-Zabalza, L., Chazalon, M., Miguélez, C., & Baufreton, J. (2019) · Cells · doi:10.3390/cells8091005 · Cited by 92 · see citing works
Functions and Modulation of Neuronal SK Channels
Faber, E. S. L. (2009) · Cell Biochemistry and Biophysics · doi:10.1007/s12013-009-9062-7 · Cited by 91 · see citing works
Orduz, D., Bischop, D. P., Schwaller, B., Schiffmann, S. N., & Gall, D. (2013) · The Journal of Physiology · doi:10.1113/jphysiol.2012.250795 · Cited by 88 · see citing works
Role of Striatum in the Pause and Burst Generation in the Globus Pallidus of 6-OHDA-Treated Rats
Kita, H., & Kita, T. (2011) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2011.00042 · Cited by 72 · see citing works
Vandael, D. H. F., Zuccotti, A., Striessnig, J., & Carbone, E. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.3715-12.2012 · Cited by 68 · see citing works
Almog, M., & Korngreen, A. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.2896-13.2014 · Cited by 63 · see citing works
Mateos‐Aparicio, P., Murphy, R., & Storm, J. F. (2013) · The Journal of Physiology · doi:10.1113/jphysiol.2013.267872 · Cited by 61 · see citing works
Schultheiss, N. W., Edgerton, J. R., & Jaeger, D. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.3959-09.2010 · Cited by 57 · see citing works
Firing rate and pattern heterogeneity in the globus pallidus arise from a single neuronal population
Deister, C. A., Dodla, R., Barraza, D., Kita, H., & Wilson, C. J. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00677.2012 · Cited by 50 · see citing works
Self-citationGoldberg, J. A., & Bergman, H. (2011) · Neuroscience · doi:10.1016/j.neuroscience.2011.08.068 · Cited by 49 · see citing works
Vandael, D. H. F., Marcantoni, A., & Carbone, E. (2015) · Current Molecular Pharmacology · doi:10.2174/1874467208666150507105443 · Cited by 47 · see citing works
Iyer, R., Ungless, M. A., & Faisal, A. A. (2017) · Scientific Reports · doi:10.1038/s41598-017-05578-5 · Cited by 41 · see citing works
Oscillators and Oscillations in the Basal Ganglia
Wilson, C. J. (2014) · The Neuroscientist · doi:10.1177/1073858414560826 · Cited by 39 · see citing works
Self-citationMovement-related coupling of human subthalamic nucleus spikes to cortical gamma
Fischer, P., Lipski, W. J., Neumann, W., Turner, R. S., Fries, P., Brown, P., & Richardson, R. M. (2020) · eLife · doi:10.7554/elife.51956 · Cited by 37 · see citing works
Dopaminergic and cholinergic modulation of striatal tyrosine hydroxylase interneurons
Ibáñez-Sandoval, O., Xenias, H. S., Tepper, J. M., & Koós, T. Z. (2015) · Neuropharmacology · doi:10.1016/j.neuropharm.2015.03.036 · Cited by 37 · see citing works
Synchrony in Parkinson's disease: importance of intrinsic properties of the external globus pallidus
Schwab, B. C., Heida, T., Zhao, Y., Marani, E., van Gils, S. A., & Wezel, R. J. A. V. (2013) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2013.00060 · Cited by 36 · see citing works
Properties of Neurons in External Globus Pallidus Can Support Optimal Action Selection
Bogacz, R., Moraud, E. M., Abdi, A., Magill, P. J., & Baufreton, J. (2016) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005004 · Cited by 32 · see citing works
Nakajima, M., Schmitt, L. I., Feng, G., & Halassa, M. M. (2019) · Neuron · doi:10.1016/j.neuron.2019.09.040 · Cited by 31 · see citing works
Detorakis, G., Chaillet, A., Palfi, S., & Senova, S. (2015) · Frontiers in Neuroscience · doi:10.3389/fnins.2015.00237 · Cited by 29 · see citing works
Bronfeld, M., Belelovsky, K., Erez, Y., Bugaysen, J., Korngreen, A., & Bar‐Gad, I. (2010) · Journal of Neurophysiology · doi:10.1152/jn.00093.2010 · Cited by 27 · see citing works
Organization of the Globus Pallidus
Kita, H., & Jaeger, D. (2016) · Handbook of behavioral neuroscience · doi:10.1016/b978-0-12-802206-1.00013-1 · Cited by 24 · see citing works
Merrison‐Hort, R., & Borisyuk, R. M. (2013) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2013.00173 · Cited by 24 · see citing works
Dendritic Sodium Channels Regulate Network Integration in Globus Pallidus Neurons: A Modeling Study
Edgerton, J. R., Hanson, J. E., Günay, C., & Jaeger, D. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.2662-10.2010 · Cited by 24 · see citing works
Edgerton, J. R., & Jaeger, D. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.6062-10.2011 · Cited by 23 · see citing works
Alterations in cerebellar physiology are associated with a stiff-legged gait in Atcayji-hes mice
Luna-Cancalon, K., Sikora, K. M., Pappas, S. S., Singh, V., Wulff, H., Paulson, H. L., Burmeister, M., & Shakkottai, V. G. (2014) · Neurobiology of Disease · doi:10.1016/j.nbd.2014.03.020 · Cited by 22 · see citing works
Chen, L., Xu, R., Sun, F.-J., Xue, Y., Hao, X.-M., Liu, H., Wang, H., Chen, X., Liu, Z., Deng, W., et al. (2015) · Molecular and Cellular Neuroscience · doi:10.1016/j.mcn.2015.04.001 · Cited by 21 · see citing works
Grimaldi, S., Mendili, M. M. E., Zaaraoui, W., Ranjeva, J., Azulay, J., Eusébio, A., & Guye, M. (2021) · Frontiers in Neurology · doi:10.3389/fneur.2021.715618 · Cited by 18 · see citing works
Blankenship, H. E., Carter, K. A., Pham, K. D., Cassidy, N. T., Markiewicz, A. N., Thellmann, M. I., Sharpe, A. L., Freeman, W. M., & Beckstead, M. J. (2024) · Nature Communications · doi:10.1038/s41467-024-53891-1 · Cited by 18 · see citing works
KAFFASHIAN, M., SHABANI, M., GOUDARZI, I., BEHZADI, G., ZALI, A., & JANAHMADI, M. (2011) · Physiological Research · doi:10.33549/physiolres.932032 · Cited by 16 · see citing works
Bonet, I. J. M., Khomula, E. V., Araldi, D., Green, P. G., & Levine, J. D. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.1189-21.2021 · Cited by 16 · see citing works
Tamura, A., Yamada, N., Yaguchi, Y., Machida, Y., Mori, I., & Osanai, M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0085351 · Cited by 14 · see citing works
Discharge regularity in the turtle posterior crista: comparisons between experiment and theory
Goldberg, J. M., & Holt, J. C. (2013) · Journal of Neurophysiology · doi:10.1152/jn.00195.2013 · Cited by 13 · see citing works
Abbasi, S., Hudson, A. E., Maran, S. K., Cao, Y., Abbasi, A., Heck, D. H., & Jaeger, D. (2017) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005578 · Cited by 13 · see citing works
Model and Analysis for the Onset of Parkinsonian Firing Patterns in a Simplified Basal Ganglia
Caiola, M. J., & Holmes, M. H. (2018) · International Journal of Neural Systems · doi:10.1142/s0129065718500211 · Cited by 12 · see citing works
Computational Neurology and Psychiatry
Érdi, P., Bhattacharya, B. S., & Cochran, A. (2017) · Springer series in bio-/neuroinformatics · doi:10.1007/978-3-319-49959-8 · Cited by 11 · see citing works
Thériault, O., & Chahine, M. (2014) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2014.00285 · Cited by 10 · see citing works
Dwivedi, D., Chattarji, S., & Bhalla, U. S. (2019) · eNeuro · doi:10.1523/eneuro.0217-19.2019 · Cited by 9 · see citing works
Olivares, E., Higgs, M. H., & Wilson, C. J. (2022) · Journal of Computational Neuroscience · doi:10.1007/s10827-022-00814-y · Cited by 9 · see citing works
Self-citationKumbhare, D., Chaniary, K. D., & Baron, M. S. (2015) · Brain Research · doi:10.1016/j.brainres.2015.07.018 · Cited by 9 · see citing works
Brody, M., & Korngreen, A. (2013) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2013.00040 · Cited by 9 · see citing works
Organization of the Globus Pallidus
Kita, H. (2010) · Handbook of behavioral neuroscience · doi:10.1016/b978-0-12-374767-9.00013-5 · Cited by 11 · see citing works
Feng, S. S., Lin, R., Gauck, V., & Jaeger, D. (2013) · The Cerebellum · doi:10.1007/s12311-013-0476-9 · Cited by 7 · see citing works
Noblejas, M. I., Schechtman, E., Adler, A., Joshua, M., Katabi, S., & Bergman, H. (2015) · European Journal of Neuroscience · doi:10.1111/ejn.13041 · Cited by 6 · see citing works
Hou, G., Pan, X. S., Liao, C., Wang, S.-H., & Li, D. (2012) · Neuroscience Bulletin · doi:10.1007/s12264-012-1241-7 · Cited by 5 · see citing works
Merrison‐Hort, R., Yousif, N., Ferrario, A., & Borisyuk, R. M. (2017) · Springer series in bio-/neuroinformatics · doi:10.1007/978-3-319-49959-8_7 · Cited by 5 · see citing works
Stetsenko, A., & Koós, T. Z. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2309015120 · Cited by 4 · see citing works
A Phase Function to Quantify Serial Dependence between Discrete Samples
Dodla, R., & Wilson, C. J. (2010) · Biophysical Journal · doi:10.1016/j.bpj.2009.11.003 · Cited by 4 · see citing works
Self-citationQuantification of Clustering in Joint Interspike Interval Scattergrams of Spike Trains
Dodla, R., & Wilson, C. J. (2010) · Biophysical Journal · doi:10.1016/j.bpj.2010.03.015 · Cited by 3 · see citing works
Self-citationCarli, S., Brugnano, L., & Caligiore, D. (2024) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2024.1386841 · Cited by 2 · see citing works
Chung, B. Y. T., & Bailey, C. D. C. (2018) · Developmental Neurobiology · doi:10.1002/dneu.22646 · Cited by 2 · see citing works
Do gap junctions regulate synchrony in the Parkinsonian basal ganglia?
Schwab, B. C. (2016) · doi:10.3990/1.9789036540704 · Cited by 2 · see citing works
Fourcaud‐Trocmé, N., Zbili, M., Duchamp‐Viret, P., & Kuczewski, N. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.04.23.441072 · Cited by 2 · see citing works
Hou, G. (2012) · Journal of Stock & Forex Trading · doi:10.4172/scientificreports.403 · Cited by 1 · see citing works
Bhattacharya, D., Bartley, A. F., Li, Q., & Dobrunz, L. E. (2022) · Neuroscience Research · doi:10.1016/j.neures.2022.07.003 · Cited by 1 · see citing works
Globus Pallidus Cellular Models
Jaeger, D. (2014) · Encyclopedia of Computational Neuroscience · doi:10.1007/978-1-4614-7320-6_87-1 · Cited by 1 · see citing works
Globus Pallidus Cellular Models
Jaeger, D. (2015) · Encyclopedia of Computational Neuroscience · doi:10.1007/978-1-4614-6675-8_87
Dodla, R., & Wilson, C. J. (2010) · BMC Neuroscience · doi:10.1186/1471-2202-11-s1-p8
Self-citationHarnessing Pallidal Cell-Type Diversity to Treat Neurological Disorders
Mastro, K. J. (2017) · D-Scholarship@Pitt (University of Pittsburgh)
Molecular Adaptations in Mesolimbic Circuitry and Pathological Ethanol Intake
Hopf, F. W., & Stuber, G. D. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-405941-2.00004-3
Basal Ganglia: Globus Pallidus Cellular Models
Jaeger, D. (2019) · Encyclopedia of Computational Neuroscience · doi:10.1007/978-1-4614-7320-6_87-2
Basal Ganglia: Globus Pallidus Cellular Models
Jaeger, D. (2022) · Encyclopedia of Computational Neuroscience · doi:10.1007/978-1-0716-1006-0_87
Differential cholinergic modulation of parafascicular thalamic neurons
Vázquez-Vázquez, H. A., Ortega, A., Parrado, Y., Laville, A., Tapia, D., & Galarraga, E. (2025) · Neuroscience Letters · doi:10.1016/j.neulet.2025.138348
Dominguez, B., Holguin, G., Daly, M. S., Bjork, R. T., Cowen, S. L., & Miller, J. E. (2026) · PLoS ONE · doi:10.1371/journal.pone.0333158
Aidi-Knani, S. (2014) · theses.fr (ABES) · doi:10.70675/9bcb3ccfzbea9z4555z8ab9zebc1216c5e8b
- Authors
- Deister, C. A., Chan, C. S., Surmeier, D. J., & Wilson, C. J.
- Affiliations
- The University of Texas at San Antonio (US)
- Northwestern University (US)
- Venue
- Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2009-07-01
- Volume
- 29
- Issue
- 26
- Pages
- 8452-8461
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC3329865
- OpenAlex
- W1968985578
- Cited by
- 85
- References
- 40
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 2 · 2023: 1 · 2022: 4 · 2021: 5 · 2020: 2 · 2019: 4 · 2018: 2 · 2017: 7 · 2016: 6 · 2015: 10 · 2014: 8 · 2013: 11 · 2012: 5
- FWCI
- 2.82
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Neuroscience (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Parkinson's Disease Foundation
- American Parkinson Disease Association
- National Institute of Neurological Disorders and Stroke (NS-47085, F31NS064755, P50NS047085)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Ion channel regulation and function
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › stochastic dynamics and bifurcation
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- apamin, A-type potassium current, voltage-gated sodium channels, spike threshold, basal ganglia
- MeSH terms
- Action Potentials, Animals, Animals, Newborn, Apamin, Biophysics, Electric Stimulation, Globus Pallidus, Glutamate Decarboxylase, Ion Channels, Membrane Potentials, Mice, Inbred C57BL, Neurons, Parvalbumins, Potassium, Sodium, Gene Expression, Rats, Sprague-Dawley, Patch-Clamp Techniques, Statistics, Nonparametric, Potassium Channel Blockers, Mice, Rats, Small-Conductance Calcium-Activated Potassium Channels, Shal Potassium Channels, In Vitro Techniques
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
