Literature DB >> 20610748

Compensation for variable intrinsic neuronal excitability by circuit-synaptic interactions.

Rachel Grashow1, Ted Brookings, Eve Marder.   

Abstract

Recent theoretical and experimental work indicates that neurons tune themselves to maintain target levels of excitation by modulating ion channel expression and synaptic strengths. As a result, functionally equivalent circuits can produce similar activity despite disparate underlying network and cellular properties. To experimentally test the extent to which synaptic and intrinsic conductances can produce target activity in the presence of variability in neuronal intrinsic properties, we used the dynamic clamp to create hybrid two-cell circuits built from four types of stomatogastric neurons coupled to the same model Morris-Lecar neuron by reciprocal inhibition. We measured six intrinsic properties (input resistance, minimum membrane potential, firing rate in response to +1 nA of injected current, slope of the frequency-current curve, spike height, and spike voltage threshold) of dorsal gastric, gastric mill, lateral pyloric, and pyloric dilator neurons from male crabs of the species Cancer borealis. The intrinsic properties varied twofold to sevenfold in each cell type. We coupled each biological neuron to the Morris-Lecar model with seven different values of inhibitory synaptic conductance and also used the dynamic clamp to add seven different values of an artificial h-conductance, thus creating 49 different circuits for each biological neuron. Despite the variability in intrinsic excitability, networks formed from each neuron produced similar circuit performance at some values of synaptic and h-conductances. This work experimentally confirms results from previous modeling studies; tuning synaptic and intrinsic conductances can yield similar circuit outputs from neurons with variable intrinsic excitability.

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Year:  2010        PMID: 20610748      PMCID: PMC2913134          DOI: 10.1523/JNEUROSCI.0980-10.2010

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


  81 in total

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Authors:  O Kiehn; R M Harris-Warrick
Journal:  J Neurophysiol       Date:  1992-08       Impact factor: 2.714

6.  Dynamic clamp: computer-generated conductances in real neurons.

Authors:  A A Sharp; M B O'Neil; L F Abbott; E Marder
Journal:  J Neurophysiol       Date:  1993-03       Impact factor: 2.714

7.  How multiple conductances determine electrophysiological properties in a multicompartment model.

Authors:  Adam L Taylor; Jean-Marc Goaillard; Eve Marder
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Authors:  Silvia Daun; Jonathan E Rubin; Ilya A Rybak
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Authors:  B Zhang; J F Wootton; R M Harris-Warrick
Journal:  J Neurophysiol       Date:  1995-11       Impact factor: 2.714

10.  The innervation of the pyloric region of the crab, Cancer borealis: homologous muscles in decapod species are differently innervated.

Authors:  S L Hooper; M B O'Neil; R Wagner; J Ewer; J Golowasch; E Marder
Journal:  J Comp Physiol A       Date:  1986-08       Impact factor: 1.836

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  63 in total

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Review 4.  Exploiting mathematical models to illuminate electrophysiological variability between individuals.

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5.  Diverse levels of an inwardly rectifying potassium conductance generate heterogeneous neuronal behavior in a population of dorsal cochlear nucleus pyramidal neurons.

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6.  Feedback control of variability in the cycle period of a central pattern generator.

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Review 7.  Animal-to-Animal Variability in Neuromodulation and Circuit Function.

Authors:  Albert W Hamood; Eve Marder
Journal:  Cold Spring Harb Symp Quant Biol       Date:  2015-04-15

8.  Synchronous Infra-Slow Bursting in the Mouse Accessory Olfactory Bulb Emerge from Interplay between Intrinsic Neuronal Dynamics and Network Connectivity.

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Review 9.  Variability, compensation, and modulation in neurons and circuits.

Authors:  Eve Marder
Journal:  Proc Natl Acad Sci U S A       Date:  2011-03-07       Impact factor: 11.205

Review 10.  Network reconfiguration and neuronal plasticity in rhythm-generating networks.

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