Synonyms
Definition
Neuronal parameter co-regulation is the exploration or alteration of distinct subsets of parameters (e.g., synaptic or membrane conductances) and how these parameters act in concert leading to changes in, or conservation of, neuronal output.
Detailed Description
The underlying ionic conductances found within a model neuron represent the parameters which determine the characteristics and output of a given model cell. These parameters are usually derived from biological data, such as voltage-clamp measurements of ionic conductance characteristics in defined cell types. The range over which these parameters can vary in a given system is referred to as the “parameter space” with a dimensionality dictated by the number of parameters allowed to vary in the system.
One area of interest in neuroscience, and a focus of modeling studies, is the interaction of distinct underlying physiological characteristics in the ultimate...
This is a preview of subscription content, log in via an institution to check access.
References
Amendola J, Woodhouse A, Martin-Eauclaire MF, Goaillard JM (2012) Ca(2)(+)/cAMP-sensitive covariation of I(A) and I(H) voltage dependences tunes rebound firing in dopaminergic neurons. J Neurosci 32:2166–2181
Ball JM, Franklin CC, Tobin AE, Schulz DJ, Nair SS (2010) Coregulation of ion channel conductances preserves output in a computational model of a crustacean cardiac motor neuron. J Neurosci 30:8637–8649
De Schutter E, Bower JM (1994) An active membrane model of the cerebellar Purkinje cell. I. Simulation of current clamps in slice. J Neurophysiol 71:375–400
Desai NS, Rutherford LC, Turrigiano GG (1999) Plasticity in the intrinsic excitability of cortical pyramidal neurons. Nat Neurosci 2:515–520
Franklin CC, Ball JM, Schulz DJ, Nair SS (2010) Generation and preservation of the slow underlying membrane potential oscillation in model bursting neurons. J Neurophysiol 104:1589–1602
Galante M, Avossa D, Rosato-Siri M, Ballerini L (2001) Homeostatic plasticity induced by chronic block of AMPA/kainate receptors modulates the generation of rhythmic bursting in rat spinal cord organotypic cultures. Eur J Neurosci 14:903–917
Golowasch J, Abbott LF, Marder E (1999) Activity-dependent regulation of potassium currents in an identified neuron of the stomatogastric ganglion of the crab Cancer borealis. J Neurosci 19:RC33
Hudson AE, Prinz AA (2010) Conductance ratios and cellular identity. PLoS Comput Biol 6:e1000838
Khorkova O, Golowasch J (2007) Neuromodulators, not activity, control coordinated expression of ionic currents. J Neurosci Official J Soc Neurosci 27:8709–8718
LeMasson G, Marder E, Abbott LF (1993) Activity-dependent regulation of conductances in model neurons. Science 259:1915–1917
Liu Z, Golowasch J, Marder E, Abbott LF (1998) A model neuron with activity-dependent conductances regulated by multiple calcium sensors. J Neurosci Official J Soc Neurosci 18:2309–2320
MacLean JN, Zhang Y, Johnson BR, Harris-Warrick RM (2003) Activity-independent homeostasis in rhythmically active neurons. Neuron 37:109–120
Prinz AA, Billimoria CP, Marder E (2003) Alternative to hand-tuning conductance-based models: construction and analysis of databases of model neurons. J Neurophysiol 90:3998–4015
Ransdell JL, Nair SS, Schulz DJ (2012) Rapid homeostatic plasticity of intrinsic excitability in a central pattern generator network stabilizes functional neural network output. J Neurosci Official J Soc Neurosci 32:9649–9658
Robert CP, Casella G (2004) Monte Carlo statistical methods. New York: Springer
Schulz DJ, Goaillard JM, Marder EE (2007) Quantitative expression profiling of identified neurons reveals cell-specific constraints on highly variable levels of gene expression. Proc Natl Acad Sci U S A 104:13187–13191
Soofi W, Archila S, Prinz AA (2012) Co-variation of ionic conductances supports phase maintenance in stomatogastric neurons. J Comput Neurosci 33:77–95
Taylor AL, Goaillard JM, Marder E (2009) How multiple conductances determine electrophysiological properties in a multicompartment model. J Neurosci Official J Soc Neurosci 29:5573–5586
Temporal S, Desai M, Khorkova O, Varghese G, Dai A, Schulz DJ, Golowasch J (2012) Neuromodulation independently determines correlated channel expression and conductance levels in motor neurons of the stomatogastric ganglion. J Neurophysiol 107:718–727
Tobin AE, Cruz-Bermudez ND, Marder E, Schulz DJ (2009) Correlations in ion channel mRNA in rhythmically active neurons. PLoS One 4:e6742
Traub RD, Wong RK, Miles R, Michelson H (1991) A model of a CA3 hippocampal pyramidal neuron incorporating voltage-clamp data on intrinsic conductances. J Neurophysiol 66:635–650
Turrigiano G, Abbott LF, Marder E (1994) Activity-dependent changes in the intrinsic properties of cultured neurons. Science 264:974–977
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer Science+Business Media New York
About this entry
Cite this entry
Schulz, D.J. (2014). Neuronal Parameter Co-regulation. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7320-6_170-1
Download citation
DOI: https://doi.org/10.1007/978-1-4614-7320-6_170-1
Received:
Accepted:
Published:
Publisher Name: Springer, New York, NY
Online ISBN: 978-1-4614-7320-6
eBook Packages: Springer Reference Biomedicine and Life SciencesReference Module Biomedical and Life Sciences