Literature DB >> 26278407

The domain of neuronal firing on a plane of input current and conductance.

E Yu Smirnova1, A V Zaitsev2, K Kh Kim2, A V Chizhov3,2.   

Abstract

The activation of neurotransmitter receptors increases the current flow and membrane conductance and thus controls the firing rate of a neuron. In the present work, we justified the two-dimensional representation of a neuronal input by voltage-independent current and conductance and obtained experimentally and numerically a complete input-output (I/O) function. The dependence of the steady-state firing rate on the input current and conductance was studied as a two-parameter I/O function. We employed the dynamic patch clamp technique in slices to get this dependence for the whole domain of two input signals that evoke stationary spike trains in a single neuron (Ω-domain). As found, the Ω-domain is finite and an additional conductance decreases the range of spike-evoking currents. The I/O function has been reproduced in a Hodgkin-Huxley-like model. Among the simulated effects of different factors on the I/O function, including passive and active membrane properties, external conditions and input signal properties, the most interesting were: the shift of the right boundary of the Ω-domain (corresponding to the exCitation block) leftwards due to the decrease of the maximal potassium conductance; and the reduction of the Ω-domain by the decrease of the maximal sodium concentration. As found in experiments and simulations, the Ω-domain is reduced by the decrease of extracellular sodium concentration, by cooling, and by adding slow potassium currents providing interspike interval adaptation; the Ω-domain height is increased by adding color noise. Our modeling data provided a generalization of I/O dependencies that is consistent with previous studies and our experiments. Our results suggest that both current flow and membrane conductance should be taken into account when determining neuronal firing activity.

Entities:  

Keywords:  Dynamic clamp; Firing rate; Hodgkin-Huxley model; Membrane parameters; Shunting; Two-dimensional neuronal input-output function

Mesh:

Substances:

Year:  2015        PMID: 26278407     DOI: 10.1007/s10827-015-0573-5

Source DB:  PubMed          Journal:  J Comput Neurosci        ISSN: 0929-5313            Impact factor:   1.621


  44 in total

1.  How adaptation currents change threshold, gain, and variability of neuronal spiking.

Authors:  Josef Ladenbauer; Moritz Augustin; Klaus Obermayer
Journal:  J Neurophysiol       Date:  2013-10-30       Impact factor: 2.714

2.  Homeostasis of intrinsic excitability in hippocampal neurones: dynamics and mechanism of the response to chronic depolarization.

Authors:  Timothy O'Leary; Mark C W van Rossum; David J A Wyllie
Journal:  J Physiol       Date:  2009-11-16       Impact factor: 5.182

3.  A simple Markov model of sodium channels with a dynamic threshold.

Authors:  A V Chizhov; E Yu Smirnova; K Kh Kim; A V Zaitsev
Journal:  J Comput Neurosci       Date:  2014-01-29       Impact factor: 1.621

4.  Time constants and electrotonic length of membrane cylinders and neurons.

Authors:  W Rall
Journal:  Biophys J       Date:  1969-12       Impact factor: 4.033

5.  Increase in sodium conductance decreases firing rate and gain in model neurons.

Authors:  Tilman J Kispersky; Jonathan S Caplan; Eve Marder
Journal:  J Neurosci       Date:  2012-08-08       Impact factor: 6.167

6.  Impact of spontaneous synaptic activity on the resting properties of cat neocortical pyramidal neurons In vivo.

Authors:  D Paré; E Shink; H Gaudreau; A Destexhe; E J Lang
Journal:  J Neurophysiol       Date:  1998-03       Impact factor: 2.714

7.  Reduction of spike afterdepolarization by increased leak conductance alters interspike interval variability.

Authors:  Fernando R Fernandez; John A White
Journal:  J Neurosci       Date:  2009-01-28       Impact factor: 6.167

8.  Cortical action potential backpropagation explains spike threshold variability and rapid-onset kinetics.

Authors:  Yuguo Yu; Yousheng Shu; David A McCormick
Journal:  J Neurosci       Date:  2008-07-16       Impact factor: 6.167

9.  Channel density distributions explain spiking variability in the globus pallidus: a combined physiology and computer simulation database approach.

Authors:  Cengiz Günay; Jeremy R Edgerton; Dieter Jaeger
Journal:  J Neurosci       Date:  2008-07-23       Impact factor: 6.167

10.  Gamma rhythms and beta rhythms have different synchronization properties.

Authors:  N Kopell; G B Ermentrout; M A Whittington; R D Traub
Journal:  Proc Natl Acad Sci U S A       Date:  2000-02-15       Impact factor: 11.205

View more
  1 in total

1.  Synaptic Conductances during Interictal Discharges in Pyramidal Neurons of Rat Entorhinal Cortex.

Authors:  Dmitry V Amakhin; Julia L Ergina; Anton V Chizhov; Aleksey V Zaitsev
Journal:  Front Cell Neurosci       Date:  2016-10-13       Impact factor: 5.505

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.