Channel Modeling for Synaptic Molecular Communication With Re-uptake and Reversible Receptor Binding

Lotter S, Ahmadzadeh A, Schober R (2020)

Publication Language: English

Publication Type: Conference contribution

Publication year: 2020

Event location: Dublin IE

ISBN: 9781728150895

DOI: 10.1109/ICC40277.2020.9149090

Abstract

In Diffusive Molecular Communication (DMC), information is transmitted by diffusing molecules. Synaptic signaling is a natural implementation of this paradigm. It is responsible for relaying information from one neuron to another, but also provides support for complex functionalities, such as learning and memory. Many of its features are not yet understood, some are, however, known to be critical for robust, reliable neural communication. In particular, some synapses feature a re-uptake mechanism at the presynaptic neuron, which provides a means for removing neurotransmitters from the synaptic cleft and for recycling them for future reuse. In this paper, we develop a comprehensive channel model for synaptic DMC encompassing a spatial model of the synaptic cleft, molecule re-uptake at the presynaptic neuron, and reversible binding to individual receptors at the postsynaptic neuron. Based on this model, we derive an analytical time domain expression for the channel impulse response (CIR) of the synaptic DMC system. Our model explicitly incorporates macroscopic physical channel parameters and can be used to evaluate the impact of re-uptake, receptor density, and channel width on the CIR of the synaptic DMC system. Furthermore, we provide results from particlebased computer simulation, which validate the analytical model. The proposed comprehensive channel model for synaptic DMC systems can be exploited for the investigation of challenging problems, like the quantification of the inter-symbol interference between successive synaptic signals and the design of synthetic neural communication systems.

Authors with CRIS profile

Sebastian Lotter Lehrstuhl für Digitale Übertragung Arman Ahmadzadeh Lehrstuhl für Digitale Übertragung Robert Schober Lehrstuhl für Digitale Übertragung

How to cite

APA:

Lotter, S., Ahmadzadeh, A., & Schober, R. (2020). Channel Modeling for Synaptic Molecular Communication With Re-uptake and Reversible Receptor Binding. In IEEE (Eds.), Proceedings of the ICC 2020 - 2020 IEEE International Conference on Communications (ICC). Dublin, IE.

MLA:

Lotter, Sebastian, Arman Ahmadzadeh, and Robert Schober. "Channel Modeling for Synaptic Molecular Communication With Re-uptake and Reversible Receptor Binding." Proceedings of the ICC 2020 - 2020 IEEE International Conference on Communications (ICC), Dublin Ed. IEEE, 2020.

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