no code implementations • 3 Jan 2024 • Yasaman Parhizkar, Gene Cheung, Andrew W. Eckford
To extract knowledge from the cell firings, in this paper we learn an interpretable graph-based classifier from data to predict the firings of ganglion cells in response to visual stimuli.
no code implementations • 28 Nov 2023 • Fatih Gulec, Damla Yagmur Koda, Baris Atakan, Andrew W. Eckford
In a practical molecular communication scenario such as monitoring air pollutants released from an unknown source, it is essential to estimate the location of the molecular transmitter (TX).
no code implementations • 23 Oct 2023 • Hadeel Elayan, Andrew W. Eckford, Raviraj Adve
Folding of proteins into their correct native structure is key to their function.
no code implementations • 15 Feb 2023 • Yuting Fang, Stuart T. Johnston, Matt Faria, Xinyu Huang, Andrew W. Eckford, Jamie Evans
Our results show that the activation probability at the B-NM increases as this B-NM is located closer to the center of the B-NM population and the aggregate absorption rate of the drug molecules non-linearly increases as the population density increases.
no code implementations • 30 Jan 2023 • Fatih Gulec, Andrew W. Eckford
Quorum sensing (QS) mimickers can be used as an effective tool to disrupt biofilms which consist of communicating bacteria and extracellular polymeric substances.
no code implementations • 2 Jan 2023 • Daniel Chen, Alexander G. Strang, Andrew W. Eckford, Peter J. Thomas
Many natural and engineered systems can be modeled as discrete state Markov processes.
no code implementations • 12 Dec 2022 • Fatih Gulec, Andrew W. Eckford
In this paper, a stochastic model is proposed for biofilm formation, using bacterial quorum sensing (QS).
no code implementations • 19 Jul 2022 • Xuan Chen, Fei Ji, Miaowen Wen, Yu Huang, Yuankun Tang, Andrew W. Eckford
In this paper, we propose a novel inter-symbol interference (ISI) mitigation scheme for molecular communication via diffusion (MCvD) systems with the optimal detection interval.
no code implementations • 4 Jul 2022 • Hadeel Elayan, Andrew W. Eckford, Raviraj Adve
To establish that, we formulate a selectivity metric that quantifies the system performance and captures the capability of the nanoantenna to induce a conformational change in the desired protein molecule/population.
no code implementations • 3 Dec 2021 • Alexander S. Moffett, Andrew W. Eckford
The existing concept of the "fitness value of information" provides a theoretical upper bound on the fitness advantage of using information concerning a fluctuating environment.
no code implementations • 17 Jun 2021 • Alexander S. Moffett, Guiying Cui, Peter J. Thomas, William D. Hunt, Nael A. McCarty, Ryan S. Westafer, Andrew W. Eckford
We derive a factor graph EM (FGEM) algorithm, a technique that permits combined parameter estimation and statistical inference, to determine hidden kinetic microstates from patch clamp measurements.
no code implementations • 29 Mar 2021 • Hamdan Awan, Raviraj S. Adve, Nigel Wallbridge, Carrol Plummer, Andrew W. Eckford
In this paper we show how inter-cellular molecular communication may change the overall levels of photosynthesis in plants.
no code implementations • 2 Sep 2020 • Hadeel Elayan, Andrew W. Eckford, Raviraj Adve
In this work, we present a paradigm bridging electromagnetic (EM) and molecular communication through a stimuli-responsive intra-body model.
no code implementations • 28 Aug 2019 • Gregory R. Hessler, Andrew W. Eckford, Peter J. Thomas
Biochemical signal transduction, a form of molecular communication, can be modeled using graphical Markov channels with input-modulated transition rates.
no code implementations • 1 Dec 2018 • Yuting Fang, Adam Noel, Andrew W. Eckford, Nan Yang
The number of molecules observed at each randomly-distributed bacterium is first derived by characterizing the diffusion and degradation of signaling molecules within the population.
1 code implementation • 12 Apr 2018 • Andrew W. Eckford, Peter J. Thomas
Biological systems transduce signals from their surroundings through a myriad of pathways.
Information Theory Information Theory Molecular Networks