Literature DB >> 16714478

Dynamic clamp analyses of cardiac, endocrine, and neural function.

Jean-Marc Goaillard1, Eve Marder.   

Abstract

The dynamic clamp introduces artificial conductances into cells to simulate electrical coupling, votage-dependent, leak, and synaptic conductances. This review describes how the dynamic clamp has been used to address various questions in the cardiac, endocrine, and nervous systems.

Mesh：

Year:  2006        PMID： 16714478     DOI： 10.1152/physiol.00063.2005

Source DB:  PubMed          Journal:  Physiology (Bethesda)        ISSN： 1548-9221


  20 in total

Review 1.  Dynamic clamp: a powerful tool in cardiac electrophysiology.

Authors:  Ronald Wilders
Journal:  J Physiol       Date:  2006-07-27       Impact factor: 5.182

2.  A novel analysis of excitatory currents during an action potential from suprachiasmatic nucleus neurons.

Authors:  John R Clay
Journal:  J Neurophysiol       Date:  2013-09-18       Impact factor: 2.714

3.  Antidromic potential spread modulates the receptor responses in the stretch receptor neurons of the crayfish.

Authors:  Nuhan Purali
Journal:  Pflugers Arch       Date:  2011-09-09       Impact factor: 3.657

4.  Novel description of ionic currents recorded with the action potential clamp technique: application to excitatory currents in suprachiasmatic nucleus neurons.

Authors:  John R Clay
Journal:  J Neurophysiol       Date:  2015-06-03       Impact factor: 2.714

5.  Membrane potential resonance frequency directly influences network frequency through electrical coupling.

Authors:  Yinbo Chen; Xinping Li; Horacio G Rotstein; Farzan Nadim
Journal:  J Neurophysiol       Date:  2016-07-06       Impact factor: 2.714

6.  Geometry and dynamics of activity-dependent homeostatic regulation in neurons.

Authors:  Andrey V Olypher; Astrid A Prinz
Journal:  J Comput Neurosci       Date:  2010-02-09       Impact factor: 1.621

7.  MATLAB implementation of a dynamic clamp with bandwidth of >125 kHz capable of generating I Na at 37 °C.

Authors:  Chris Clausen; Virginijus Valiunas; Peter R Brink; Ira S Cohen
Journal:  Pflugers Arch       Date:  2012-12-09       Impact factor: 3.657

8.  Tracking and control of neuronal Hodgkin-Huxley dynamics.

Authors:  Ghanim Ullah; Steven J Schiff
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2009-04-13

9.  Membrane resonance in bursting pacemaker neurons of an oscillatory network is correlated with network frequency.

Authors:  Vahid Tohidi; Farzan Nadim
Journal:  J Neurosci       Date:  2009-05-20       Impact factor: 6.167

10.  Virtual Partner Interaction (VPI): exploring novel behaviors via coordination dynamics.

Authors:  J A Scott Kelso; Gonzalo C de Guzman; Colin Reveley; Emmanuelle Tognoli
Journal:  PLoS One       Date:  2009-06-03       Impact factor: 3.240
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