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Use of Empirically Optimized Perturbations for Separating and Characterizing Pyloric Neurons

White, William E.
http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1368055391

Abstract Details

2013, Doctor of Philosophy (PhD), Ohio University, Biological Sciences (Arts and Sciences).
Conductance based neuron models are commonly used to simulate the activity of real neurons. A challenge in constructing these models is that it is not currently possible to measure all parameters from a single neuron, so measurements are typically made in multiple neurons of a given type. However, neurons can produce the same activity with different parameters, and models constructed with measurements across neurons can produce incorrect behavior. A possible alternative method is fitting model parameters with recordings taken from a single neuron stimulated with a perturbation which elicits information rich responses. Investigations of the parameter space of a pyloric neuron model reveal widespread regions of neurons of nearly identical activity, so perturbation is necessary to constrain parameters. Optimized voltage clamp perturbations are designed using a genetic algorithm to elicit distinctive responses from the voltage-dependent conductances. These perturbations demonstrate superior performance in separating model neurons which behave similarly in free-running conditions, causing differences in their responses to reflect differences in parameters, and facilitating gradient descent based parameter fitting methods. When used in real neurons, they cause pyloric neurons of different anatomical types to produce characteristic responses which allow automatic classification that recapitulates their anatomical types. However, parameter fitting of a pyloric model to a real neuron's responses is likely to require multiple compartments and multiple perturbations due to the anatomical complexity of these neurons.
Scott Hooper, L (Advisor)
Ralph DiCaprio, R (Committee Member)
William Holmes, R (Committee Member)
Michael Rowe, H (Committee Member)
Peter Jung (Committee Member)
307 p.
Neurobiology
stomatogastric ganglion; conductance neuron models; lobster; evolutionary algorithms

Recommended Citations

Citations

  • White, W. E. (2013). Use of Empirically Optimized Perturbations for Separating and Characterizing Pyloric Neurons [Doctoral dissertation, Ohio University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1368055391

    APA Style (7th edition)

  • White, William. Use of Empirically Optimized Perturbations for Separating and Characterizing Pyloric Neurons. 2013. Ohio University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1368055391.

    MLA Style (8th edition)

  • White, William. "Use of Empirically Optimized Perturbations for Separating and Characterizing Pyloric Neurons." Doctoral dissertation, Ohio University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1368055391

    Chicago Manual of Style (17th edition)

ohiou1368055391
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© 2013, all rights reserved.
This open access ETD is published by Ohio University and OhioLINK.