A queueing-theoretical delay analysis for intra-body nervous nanonetwork

Abbasi, Naveed A.; Akan, Özgür B.

doi:10.1016/j.nancom.2015.08.002

Cited by 10 publications

(15 citation statements)

References 32 publications

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“…An optimization problem for neuronal time division multiple access (TDMA) is formulated in [14], in order to find optimum scheduling. A queueing model for nervous nanonetwork is also proposed in [15], which identifies the delay of network of neurons.…”

Section: A Nervous Nanonetworkmentioning

confidence: 99%

Fundamentals of Molecular Information and Communication Science

et al. 2017

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Molecular communication (MC) is the most promising communication paradigm for nanonetwork realization since it is a natural phenomenon observed among living entities with nanoscale components. Since MC significantly differs from classical communication systems, it mandates reinvestigation of information and communication theoretical fundamentals.The closest examples of MC architectures are present inside our own body. Therefore, in this paper, we investigate the existing literature on intra-body nanonetworks and different MC paradigms to establish and introduce the fundamentals of molecular information and communication science. We highlight future research directions and open issues that need to be addressed for revealing the fundamental limits of this science. Although the scope of this development encompasses wide range of applications, we particularly emphasize its significance for life sciences by introducing potential diagnosis and treatment techniques for diseases caused by dysfunction of intra-body nanonetworks.

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Section: A Nervous Nanonetworkmentioning

confidence: 99%

Fundamentals of Molecular Information and Communication Science

et al. 2017

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“…However, if a i−1 = 0, then u i−1 − u i−2 < n min , and the timing of the (i − 2)th, (i − 1)th, and ith spikes violates our assumption that there can be no more than 2 target spikes within any interval of 2n min slots. Consequently, we only need to look for cases of a i = 0, which leads to (22).…”

Section: Rmse With Kernel Of Lengthmentioning

confidence: 99%

“…The true simulated distortion is measured using (21) and (20) for the filters of length ∆W = 1 and ∆W = 2, respectively. We approximate the simulated distortion using (22) for ∆W = 1 and (29) for ∆W = 2, where we assume that g T is sufficiently low, i.e., that u is sparse. The expected analytical curves are plotted using (24) for ∆W = 1 and (37) for ∆W = 2 and also assume that u is sparse.…”

Section: B Filter-based Distortionmentioning

confidence: 99%

“…The expected points are calculated using (24) and (37) for ∆W = 1 and ∆W = 2, respectively. The actual simulated distortion is calculated using (21) and (20), and the approximate simulated distortion is calculated using (22) and (29), for ∆W = 1 and ∆W ≥ 2, respectively. For t min = 2 ms, the expected distortion is in good agreement with the approximate simulated distortion, which verifies both (36) and (34).…”

Section: B Filter-based Distortionmentioning

confidence: 99%

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Distortion Distribution of Neural Spike Train Sequence Matching With Optogenetics

Noel

Makrakis²,

Eckford³

2018

IEEE Trans. Biomed. Eng.

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This paper uses a simple optogenetic model to compare the timing distortion between a randomlygenerated target spike sequence and an externally-stimulated neuron spike sequence. Optogenetics is an emerging field of neuroscience where neurons are genetically modified to express light-sensitive receptors that enable external control over when the neurons fire. Methods: Two different measures are studied to measure the timing distortion. The first measure is the delay in externally-stimulated spikes. The second measure is the root mean square error between the filtered outputs of the target and stimulated spike sequences. Results: The mean and the distribution of the distortion are derived in closed form when the target sequence generation rate is sufficiently low. The derived results are verified with simulations. Conclusion: The proposed model and distortion measures can be used to measure the deviation between neuron spike sequences that are prescribed and what can be achieved via external stimulation. Significance: Given the prominence of neuronal signaling within the brain and throughout the body, optogenetics has significant potential to improve the understanding of the nervous system and to develop treatments for neurological diseases. This work is a step towards an analytical model to predict whether different spike trains were observed from the same external stimulus, and the broader goal of understanding the quantity and reliability of information that can be carried by neurons.

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“…Understanding this molecular signaling among living cells from ICT perspective provides novel nanonetworking directions and a deep insight into the ICT-based fundamentals of biological systems [6]. Several ICT models exist in literature for key MC systems of the human body such as the nervous system [8], [9], [10] and the gap junction communication between cardiomyocytes [11], however, to date no work targets an endocrine system from this perspective. Since the endocrine systems operate on the principles of MC, a study of the MC in these systems may give rise to an in-depth analysis of the system from a new perspective to produce novel diagnostic, management and treatment applications based on MC principles.…”

Section: Introductionmentioning

confidence: 99%

An Information Theoretical Analysis of Human Insulin-Glucose System Toward the Internet of Bio-Nano Things

Abbasi

Akan

2017

IEEE Trans.on Nanobioscience

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Molecular communication is an important tool to understand biological communications with many promising applications in Internet of Bio-Nano Things (IoBNT). The insulin-glucose system is of key significance among the major intra-body nanonetworks, since it fulfills metabolic requirements of the body. The study of biological networks from information and communication theoretical (ICT) perspective is necessary for their introduction in the IoBNT framework. Therefore, the objective of this paper is to provide and analyze for the first time in the literature, a simple molecular communication model of the human insulin-glucose system from ICT perspective. The data rate, channel capacity, and the group propagation delay are analyzed for a two-cell network between a pancreatic beta cell and a muscle cell that are connected through a capillary. The results point out a correlation between an increase in insulin resistance and a decrease in the data rate and channel capacity, an increase in the insulin transmission rate, and an increase in the propagation delay. We also propose applications for the introduction of the system in the IoBNT framework. Multi-cell insulin glucose system models may be based on this simple model to help in the investigation, diagnosis, and treatment of insulin resistance by means of novel IoBNT applications.

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A queueing-theoretical delay analysis for intra-body nervous nanonetwork

Cited by 10 publications

References 32 publications

Fundamentals of Molecular Information and Communication Science

Fundamentals of Molecular Information and Communication Science

Distortion Distribution of Neural Spike Train Sequence Matching With Optogenetics

An Information Theoretical Analysis of Human Insulin-Glucose System Toward the Internet of Bio-Nano Things

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