2002
DOI: 10.1113/jphysiol.2001.013054
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Modulation of network behaviour by changes in variance in interneuronal properties

Abstract: Interneurones are important regulators of neuronal networks. The conventional approach to interneurones is to focus on the mean values of various parameters. Here we tested the hypothesis that changes in the variance of interneuronal properties (e.g. in the degree of scattering of parameter values of individual cells around the population mean) may modify the behaviour of networks. Biophysically based multicompartmental models of principal cells and interneurones showed that changes in the variance in the elec… Show more

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Cited by 75 publications
(61 citation statements)
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“…Confidence intervals at 95% for the fitting parameters were obtained using the routine nlparci. Four different fits were used to minimize the difference between the fitted curve and the reference curve: (1) Shift of I; (2) Shift and scaling of I; (3) Shift of I and scaling of f; (4) Shift of I and scaling of I and f. In most cases fit (3) yielded the best results or yielded results that were close to the best three-parameter fit (4). For the purpose of comparison we show only the results of fit (3).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Confidence intervals at 95% for the fitting parameters were obtained using the routine nlparci. Four different fits were used to minimize the difference between the fitted curve and the reference curve: (1) Shift of I; (2) Shift and scaling of I; (3) Shift of I and scaling of f; (4) Shift of I and scaling of I and f. In most cases fit (3) yielded the best results or yielded results that were close to the best three-parameter fit (4). For the purpose of comparison we show only the results of fit (3).…”
Section: Discussionmentioning
confidence: 99%
“…Although the synchronization dynamics of inhibitory networks has been studied extensively using model simulations [4,5,73,75,77,[86][87][88], the focus has almost exclusively been on the stationary state, rather than dynamic changes in synchrony. We found two types of networks whose synchrony can be changed by neuromodulators or excitatory neurotransmitters [78].…”
Section: Can Attention Modulate the Synchrony Of Interneuron Network?mentioning
confidence: 99%
“…The model contained sodium channels and delayed rectifier potassium channels. Passive parameters similar to the passive properties of hippocampal principal cells (Spruston and Johnston 1992;Staley et al 1992) were adapted from previous models (Aradi and Soltesz 2002). The input resistance of the soma was 100 M⍀, and the resting membrane potential was Ϫ60 mV.…”
Section: Methodsmentioning
confidence: 99%
“…However, heterogeneity of elements is an inherent feature present in natural systems which can be especially relevant in the dynamics of biological networks [16]. In this Letter, we explore the influence of the network topology on the dynamics of non-identical coupled units, when a small fraction of the links is phase-repulsive.…”
mentioning
confidence: 99%