Please use this identifier to cite or link to this item:

Information Processing and Energy Dissipation in Neurons

File SizeFormat 
MA_2012_McIntosh.pdf12.66 MBAdobe PDFView/Open

Item Summary

Title: Information Processing and Energy Dissipation in Neurons
Authors: McIntosh, Lane
Instructor: Still, Susanne
Issue Date: 2012
Publisher: University of Hawaii at Manoa
Abstract: We investigate the relationship between thermodynamic and information theoretic inefficiencies in an individual neuron model, the adaptive exponential integrate-and-fire neuron. Recent work has revealed that minimization of energy dissipation is tightly related to optimal information processing, in the sense that a system has to compute a maximally predictive model. In this thesis we justify the extension of these results to the neuron and quantify the neuron’s thermodynamic and information processing inefficiencies.
Pages/Duration: 64 pages
Rights: All UHM dissertations and theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission from the copyright owner.
Attribution-NonCommercial-NoDerivs 3.0 United States
Appears in Collections:M.A. Plan B Theses- Mathematics Department

Please contact if you need this content in an alternative format.

Items in ScholarSpace are protected by copyright, with all rights reserved, unless otherwise indicated.