Please use this identifier to cite or link to this item:
Information Processing and Energy Dissipation in Neurons
|Title:||Information Processing and Energy Dissipation in Neurons|
|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.|
|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 firstname.lastname@example.org if you need this content in an alternative format.
Items in ScholarSpace are protected by copyright, with all rights reserved, unless otherwise indicated.