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.
Recommended Citation
Zdor, Greg W., "Assessing the Mean Neuronal Firing Rate Information Hypothesis via Mutual Information" (2018). Honors Theses. 217.
https://dx.doi.org/10.32597/honors/217
https://digitalcommons.andrews.edu/honors/217
Subject Area
Neurons--Research; Mean Neuronal Firing Rate; Information Encoding--Research
Creative Commons License
This work is licensed under a Creative Commons Attribution-No Derivative Works 4.0 International License.
DOI
https://dx.doi.org/10.32597/honors/217