Synonyms
Definition
In all mathematical models of neuronal systems, there will be a number of parameters whose values have not been determined by experimental studies. Appropriate values for these parameters must then be determined for the model to replicate the desired experimental behavior or to exhibit the desired dynamics. Hand-tuning is the process of manually adjusting parameter values, simulating the model and determining if the adjustments result in the desired model behavior. This method contrasts with automated parameter optimization algorithms in which parameter values to be tested and determination of model fitness are computed by an optimization algorithm.
Detailed Description
In developing a neuronal model, some amount of parameter hand-tuning is unavoidable. Even if an automated parameter optimization algorithm is to be used, hand-tuning may initially be necessary to identify ranges of parameter values to search over or to identify preliminary...
This is a preview of subscription content, log in via an institution to check access.
References
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
Booth V, Rinzel J, Kiehn O (1997) Compartmental model of vertebrate motoneurons for Ca2+-dependent spiking and plateau potentials under pharmacological treatment. J Neurophysiol 78:3371–3385
Chis OT, Banga JR, Balsa-Canto E (2011) Structural identifiability of systems biology models: a critical comparison of methods. PLoS One 6:e27755
Hudson AE, Prinz AA (2010) Conductance ratios and cellular identity. PLoS Comput Biol 6:e1000838
Li P, Vu QD (2013) Identification of parameter correlations for parameter estimation in dynamic biological models. BMC Syst Biol 7:91
Little MP, Heidenreich WF, Li G (2010) Parameter identifiability and redundancy: theoretical considerations. PLoS One 5:e8915
Nadim F, Olsen OH, De Schutter E, Calabrese RL (1995) Modeling the leech heartbeat elemental oscillator. I. Interactions of intrinsic and synaptic currents. J Comput Neurosci 2:215–235
Prinz AA (2007) Neuronal parameter optimization. Scholarpedia 2:1903
Soto-Trevino C, Rabbah P, Marder E, Nadim F (2005) Computational model of electrically coupled, intrinsically distinct pacemaker neurons. J Neurophysiol 94:590–604
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
Booth, V. (2014). Neuronal Model Hand-Tuning. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7320-6_163-1
Download citation
DOI: https://doi.org/10.1007/978-1-4614-7320-6_163-1
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