Literature DB >> 12451125

Detectability of excitatory versus inhibitory drive in an integrate-and-fire-or-burst thalamocortical relay neuron model.

Gregory D Smith1, S Murray Sherman.   

Abstract

Although inhibitory inputs are often viewed as equal but opposite to excitatory inputs, excitatory inputs may alter the firing of postsynaptic cells more effectively than inhibitory inputs. This is because spike cancellation produced by an inhibitory input requires coincidence in time, whereas an excitatory input can add spikes with less temporal constraint. To test for such potential differences, especially in the context of the function of thalamocortical (TC) relay nuclei, we used a stochastic "integrate-and-fire-or-burst" TC neuron model to quantify the detectability of excitatory and inhibitory drive in the presence and absence of the low-threshold Ca2+ current, I(T), and the hyperpolarization-activated cation conductance, I(sag). We find that excitatory inputs are generally superior drivers compared with inhibitory inputs in part because spontaneous activity of a postsynaptic neuron is not required in the case of excitatory drive. Interestingly, the presence of the low-threshold Ca2+ current, I(T) in a postsynaptic neuron allows the robust detection of inhibitory drive over a certain range of spontaneous and driven activity, a range that can be extended by the presence of the hyperpolarization-activated cation conductance, I(sag). These simulations suggest a possible reinterpretation of the role of inhibitory inputs, such as those to the thalamus.

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Year:  2002        PMID: 12451125      PMCID: PMC6758741     

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  12 in total

1.  Oscillations in large-scale cortical networks: map-based model.

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2.  Bursting as an effective relay mode in a minimal thalamic model.

Authors:  Baktash Babadi
Journal:  J Comput Neurosci       Date:  2005 Mar-Apr       Impact factor: 1.621

3.  Mental arithmetic leads to multiple discrete changes from baseline in the firing patterns of human thalamic neurons.

Authors:  J H Kim; S Ohara; F A Lenz
Journal:  J Neurophysiol       Date:  2009-02-04       Impact factor: 2.714

4.  Thalamic post-inhibitory bursting occurs in patients with organic dystonia more often than controls.

Authors:  K Kobayashi; C C Liu; A L Jensen; J L Vitek; Z Mari; F A Lenz
Journal:  Brain Res       Date:  2013-10-11       Impact factor: 3.252

5.  New class of reduced computationally efficient neuronal models for large-scale simulations of brain dynamics.

Authors:  Maxim Komarov; Giri Krishnan; Sylvain Chauvette; Nikolai Rulkov; Igor Timofeev; Maxim Bazhenov
Journal:  J Comput Neurosci       Date:  2017-12-12       Impact factor: 1.621

6.  High frequency stimulation of the subthalamic nucleus eliminates pathological thalamic rhythmicity in a computational model.

Authors:  Jonathan E Rubin; David Terman
Journal:  J Comput Neurosci       Date:  2004 May-Jun       Impact factor: 1.621

7.  Pallidal burst activity during therapeutic deep brain stimulation.

Authors:  Philip J Hahn; Gary S Russo; Taka Hashimoto; Svjetlana Miocinovic; Weidong Xu; Cameron C McIntyre; Jerrold L Vitek
Journal:  Exp Neurol       Date:  2008-02-20       Impact factor: 5.330

8.  Spontaneous low threshold spike bursting in awake humans is different in different lateral thalamic nuclei.

Authors:  S Ohara; A Taghva; J H Kim; F A Lenz
Journal:  Exp Brain Res       Date:  2007-01-26       Impact factor: 2.064

9.  Cortical modulation of the transient visual response at thalamic level: a TMS study.

Authors:  Nelson Espinosa; Jorge Mariño; Carmen de Labra; Javier Cudeiro
Journal:  PLoS One       Date:  2011-02-10       Impact factor: 3.240

10.  Dynamic encoding of natural luminance sequences by LGN bursts.

Authors:  Nicholas A Lesica; Chong Weng; Jianzhong Jin; Chun-I Yeh; Jose-Manuel Alonso; Garrett B Stanley
Journal:  PLoS Biol       Date:  2006-07       Impact factor: 8.029

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