Date of Award

11-29-2018

Document Type

Honors Thesis

Department

Engineering & Computer Science

First Advisor

Jay R. Johnson

Abstract

While it is currently well accepted that the mean neuronal firing rate (MNFR) is a key parameter encoding information about sensory and motor events, in some cases the measured information due to MNFR is not adequate to explain the total neuron signal information content. In this study, several auditory neuron responses and corresponding MNFR--generated surrogates are analyzed using mutual information (MI) as a metric of information content. Results showed that for particular inter-spike gaps (ISG), data MI exceeded two standard deviations of the surrogate MNFR MI, indicating spike spacing and order also encode information.

Subject Area

Neurons--Research; Mean Neuronal Firing Rate; Information Encoding--Research

Creative Commons License

Creative Commons Attribution-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-No Derivative Works 4.0 License.

DOI

https://dx.doi.org/10.32597/honors/217

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