Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.806597
Title: Thermodynamics of sensing, correlations and computation
Author: Brittain, Rory A.
ISNI:       0000 0004 9350 9104
Awarding Body: Imperial College London
Current Institution: Imperial College London
Date of Award: 2019
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Abstract:
In this thesis we discuss several aspects of the thermodynamics of information. In some cases this is motivated by its application to biological organisms. First we examine the interpretation of a quantity proposed to measure sensors and find that it is not a general measure of sensor quality in the steady state. Then we propose a biochemical version of the Szilard engine and use it as the basis for a simple feeding model of a micro-organism. We find that more complex environments can support more complex inference processes. Finally, we use a similar set-up to the feeding model to model a reversible chemical Turing machine. We show that an additional memory tape is required but for a different reason than previously suggested. Also, in order to discount edge costs, many machines must be run simultaneously.
Supervisor: Jones, Nicholas ; Ouldridge, Thomas Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.806597  DOI:
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