Joël Tabak
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Research Interests
Joël Tabak has a total of 32 co-authors. Here are the top co-authors by number of shared publications:
- Richard Bertram
Department of Mathematics Florida State University Tallahassee Florida USA
9 shared publications - Michael James O'DOnovan
NINDS, NIH
5 shared publications Richard Bertram
Department of Mathematics and Program in Neuroscience, Florida State University, Tallahassee, FL 32306
5 shared publications- Peter Wenner
Department of Cell Biology, Emory University School of Medicine
4 shared publications - Wondimu W. Teka
UTSA Neurosciences Institute, The University of Texas at San Antonio, San Antonio, Texas, United States of America
4 shared publications - Jan Benda
Neuroethology, University of Tübingen, Tübingen, Germany
3 shared publications
Latest Publications
- 12 June 2022
- Published by Springer Nature
- p. 3051-3056
Rhythm Generation in Embryonic Chick Spinal Cord
- 12 June 2022
- Published by Springer Nature
- p. 3051-3056
Rhythm Generation in Embryonic Chick Spinal Cord
- 24 March 2015
- Published by Springer Nature
- p. 2642-2647
Rhythm Generation in Embryonic Chick Spinal Cord
- 24 March 2015
- Published by Springer Nature
- p. 2642-2647
Rhythm Generation in Embryonic Chick Spinal Cord
- 24 March 2015
- Published by Springer Nature
- p. 2814-2824
Spike-Frequency Adaptation
- 1 January 2015
- Published by Springer Nature
- p. 1-52
Geometric Singular Perturbation Analysis of Bursting Oscillations in Pituitary Cells
- 1 January 2015
- Published by Springer Nature
- p. 1-52
Geometric Singular Perturbation Analysis of Bursting Oscillations in Pituitary Cells
- 1 December 2014
- Published by Wiley in The Journal of Physiology
Large conductance Ca2+-activated K+channels (BK) promote secretagogue-induced transition from spiking to bursting in murine anterior pituitary corticotrophs
Anterior pituitary corticotroph cells are a central component of the hypothalamic-pituitary-adrenal (HPA) axis essential for the neuroendocrine response to stress. Corticotrophs are excitable cells that receive input from two hypothalamic secretagogues, corticotrophin-releasing hormone (CRH) and arginine vasopressin (AVP) to control the release of adrenocorticotrophin hormone (ACTH). Although corticotrophs are spontaneously active and increase in excitability in response to CRH and AVP the patterns of electrical excitability and underlying ionic conductances are poorly understood. In this study, we have used electrophysiological, pharmacological and genetic approaches coupled with mathematical modeling to investigate whether CRH and AVP promote distinct patterns of electrical excitability and to interrogate the role of large conductance calcium- and voltage-activated (BK) channels in spontaneous and secretagogue-induced activity. We reveal that BK channels do not play a significant role in the generation of spontaneous activity but are critical for the transition to bursting in response to CRH. In contrast, AVP promotes an increase in single spike frequency, a mechanism independent of BK channels but dependent on background non-selective conductances. Co-stimulation with CRH and AVP results in complex patterns of excitability including increases in both single spike frequency and bursting. The ability of corticotroph excitability to be differentially regulated by hypothalamic secretagogues provides a mechanism for differential control of corticotroph excitability in response to different stressors. This article is protected by copyright. All rights reserved.
- 1 December 2014
- Published by Wiley in The Journal of Physiology
Large conductance Ca2+-activated K+channels (BK) promote secretagogue-induced transition from spiking to bursting in murine anterior pituitary corticotrophs
Anterior pituitary corticotroph cells are a central component of the hypothalamic-pituitary-adrenal (HPA) axis essential for the neuroendocrine response to stress. Corticotrophs are excitable cells that receive input from two hypothalamic secretagogues, corticotrophin-releasing hormone (CRH) and arginine vasopressin (AVP) to control the release of adrenocorticotrophin hormone (ACTH). Although corticotrophs are spontaneously active and increase in excitability in response to CRH and AVP the patterns of electrical excitability and underlying ionic conductances are poorly understood. In this study, we have used electrophysiological, pharmacological and genetic approaches coupled with mathematical modeling to investigate whether CRH and AVP promote distinct patterns of electrical excitability and to interrogate the role of large conductance calcium- and voltage-activated (BK) channels in spontaneous and secretagogue-induced activity. We reveal that BK channels do not play a significant role in the generation of spontaneous activity but are critical for the transition to bursting in response to CRH. In contrast, AVP promotes an increase in single spike frequency, a mechanism independent of BK channels but dependent on background non-selective conductances. Co-stimulation with CRH and AVP results in complex patterns of excitability including increases in both single spike frequency and bursting. The ability of corticotroph excitability to be differentially regulated by hypothalamic secretagogues provides a mechanism for differential control of corticotroph excitability in response to different stressors. This article is protected by copyright. All rights reserved.
- 30 July 2014
- Published by Springer Nature
- p. 1-6
Rhythm Generation in Embryonic Chick Spinal Cord
- 25 June 2014
- Published by Springer Nature in Journal of Computational Neuroscience
- Vol. 37 (3) , 403-415
Determining the contributions of divisive and subtractive feedback in the Hodgkin-Huxley model
The Hodgkin-Huxley (HH) model is the basis for numerous neural models. There are two negative feedback processes in the HH model that regulate rhythmic spiking. The first is an outward current with an activation variable n that has an opposite influence to the excitatory inward current and therefore provides subtractive negative feedback. The other is the inactivation of an inward current with an inactivation variable h that reduces the amount of positive feedback and therefore provides divisive feedback. Rhythmic spiking can be obtained with either negative feedback process, so we ask what is gained by having two feedback processes. We also ask how the different negative feedback processes contribute to spiking. We show that having two negative feedback processes makes the HH model more robust to changes in applied currents and conductance densities than models that possess only one negative feedback variable. We also show that the contributions made by the subtractive and divisive feedback variables are not static, but depend on time scales and conductance values. In particular, they contribute differently to the dynamics in Type I versus Type II neurons.
- 25 June 2014
- Published by Springer Nature in Journal of Computational Neuroscience
- Vol. 37 (3) , 403-415
Determining the contributions of divisive and subtractive feedback in the Hodgkin-Huxley model
The Hodgkin-Huxley (HH) model is the basis for numerous neural models. There are two negative feedback processes in the HH model that regulate rhythmic spiking. The first is an outward current with an activation variable n that has an opposite influence to the excitatory inward current and therefore provides subtractive negative feedback. The other is the inactivation of an inward current with an inactivation variable h that reduces the amount of positive feedback and therefore provides divisive feedback. Rhythmic spiking can be obtained with either negative feedback process, so we ask what is gained by having two feedback processes. We also ask how the different negative feedback processes contribute to spiking. We show that having two negative feedback processes makes the HH model more robust to changes in applied currents and conductance densities than models that possess only one negative feedback variable. We also show that the contributions made by the subtractive and divisive feedback variables are not static, but depend on time scales and conductance values. In particular, they contribute differently to the dynamics in Type I versus Type II neurons.