Communication theoretic analysis of the synaptic channel for cortical neurons

Malak, Derya; Kocaoglu, Murat; Akan, Özgür B.

doi:10.1016/j.nancom.2013.07.003

Cited by 16 publications

(8 citation statements)

References 10 publications

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“…In that context, impact analysis of input random nature, vesicular release process, quantal variability and communication channel is provided. Contrary to [9] by concentrating on the multiple‐access communication channel, the work in [12] considers point‐to‐point synaptic channel performance. In addition, among presynaptic terminals, the effect of correlation on the postsynaptic rate is analysed, proving that by increasing the correlation, postsynaptic rate is positively impacted.…”

Section: Related Work and Main Contributionmentioning

confidence: 99%

“…In the era of nanotechnology, certain molecular communication techniques have been introduced in [1], which are classified, according to their effective communication coverage. Recently, neurospike communication has been elevated to a popular research area that studies interconnection between neurons [8, 9, 12, 13]. In [9], performance of neurotransmitter messenger, exhibited in nanonetworks, is investigated.…”

Section: Related Work and Main Contributionmentioning

confidence: 99%

“…This constitutes an obvious gap that, to the extent the authors are aware, has poorly been investigated but plays a catalyst role in a scientific field that increasingly attracts interest. Thus, although molecular neurospike communication has been extensively studied [7–9, 12, 13], the influence over performance of molecular communication, applied to nanonetworks in conjunction with neurotransmitter's electronic structure, has not been efficiently examined.…”

Section: Introductionmentioning

confidence: 99%

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Framework for single input single output nanonetwork‐based realistic molecular communication

El-atty¹,

Gharsseldien²,

Lizos

2015

IET nanobiotechnol.

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Mobile ad hoc molecular nanonetwork (MAMNET) is a new paradigm for the realisation of future nanonetworks. In MAMNET, transmission of nanoscale information from nanomachine to infostation is based on collision and adhesion. In this study, the authors develop a realistic framework for encompassing the electronic structure of the neurotransmitter in the process of transmitting nanoscale information at a single input single output nanonetwork. Nanonetwork performance is evaluated in terms of average packet delay, throughput and incurred traffic rate. Numerical results demonstrate the influence of the neurotransmitter's electronic structure over the performance of nanonetworks.

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Section: Related Work and Main Contributionmentioning

confidence: 99%

Section: Related Work and Main Contributionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Framework for single input single output nanonetwork‐based realistic molecular communication

El-atty¹,

Gharsseldien²,

Lizos

2015

IET nanobiotechnol.

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“…As inspired by traditional mobile ad hoc network (MANET), in molecular communication, due to the random motion or freely diffuse of molecules in aqueous medium, the mobile molecules (nanomachines) collide with each other and the molecular adhesion occurs between the collided molecules [11]. Molecules adhesion is accomplished by the ligand-receptor binding process [12]. Therefore, after collision procedure, the adhesion should happen to allow nanoscale information transmission, thus enabling successful communication between molecules.…”

Section: A Molecular Communications Based-biophysicalmentioning

confidence: 99%

On Performance of SISO Nanonetworks-based Molecular Communications

El-atty

Gharsseldien

Lizos

2014

2014 6th International Conference on New Technologies, Mobility and Security (NTMS)

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Mobile ad hoc molecular nanonetwork (MAMNET) introduces a new paradigm for the realization of future nanonetworks. In MAMNET, the transmission of nanoscale information between nanomachine and infostation is based on collision and adhesion process. In this study, we develop a single input single output (SISO) molecular communication system for transmitting nanoscale information. We employ the features of MAMNET, taking into account the electronic structure of the neurotransmitter, which affects the collision and adhesion process. Consequently, we deploy a realistic adhesion process by determining the critical velocity required for two molecules to adhere. The critical velocity is a function of molecule size, hardness, density and inter-molecule near-field interaction. The metrics performance of SISO system is measured in terms of average packet delay, throughput and incurred traffic rate. The numerical results show the effectiveness of the proposed SISO system in the future nanonetworks.

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“…The multiple-access among hippocampal-cortical neurons is considered in [8], where the effect of the number of presynaptic neurons is studied on the achievable post-synaptic rate. The ergodic capacity of the Multiple-Input Multiple-Output (MIMO) synaptic communication channel is derived in [10]. Although all of the these studies consider existence of one synaptic connection between an input and output neuron, multiple synapses may exist between a pair of hippocampal pyramidal neurons as it is shown in [11], [12].…”

mentioning

confidence: 99%

Rate region analysis of multi-terminal neuronal nanoscale molecular communication channel

Ramezani

Koca

Akan

2017

2017 IEEE 17th International Conference on Nanotechnology (IEEE-NANO)

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In this paper, we investigate the communication channel capacity among hippocampal pyramidal neurons. To this aim, we study the processes included in this communication and model them with realistic communication system components based on the existing reports in the physiology literature. We consider the communication between two neurons and reveal the effects of the existence of multiple terminals between these neurons on the achievable rate per spike. To this objective, we derive the power spectral density (PSD) of the signal in the output neuron and utilize it to calculate the rate region of the channel. Moreover, we evaluate the impacts of vesicle availability on the achievable rate by deriving the expected number of available vesicles in input neuron using a realistic vesicle release model. Simulation results show that number of available vesicles for release does not affect the achievable rate of neuro-spike communication with univesicular release model. However, in neurons that multiple vesicles can release from each synaptic terminal, achievable rate is significantly affected by depletion of vesicles. Moreover, we show that increasing the number of synaptic terminals between two neurons makes the synaptic connection stronger. Hence, it is an important factor in learning and memory, which occur in the hippocampal region of the brain based on the synaptic connectivity. I. INTRODUCTION Nanomachines have limited capabilities in computing, data storing, sensing and actuation as a result of their size. Hence, they need to establish networks with each other to become capable for more complex tasks. Among the proposed paradigms for nanonetworks, molecular communication, in which molecules are used to encode, transmit and receive information, is the most promising paradigm since this communication exists in the structure of any living organism and is a biocompatible and biostable solution [1]. One of the significant mechanisms for molecular communication inside the human body is the ultra-large scale network of nerve cells, i.e., neurons, which is known as nanoscale neuro-spike communication [2]. Realistically modeling, analyzing and understanding communication theoretical capabilities of the neuro-spike communication channel contribute to the development of bio-inspired solutions for nanonetworks and ICTinspired solutions for neural diseases caused by dysfunction H. Ramezani and C. Koca are with the Next-generation and Wireless Communications Laboratory (NWCL),

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Communication theoretic analysis of the synaptic channel for cortical neurons

Cited by 16 publications

References 10 publications

Framework for single input single output nanonetwork‐based realistic molecular communication

Framework for single input single output nanonetwork‐based realistic molecular communication

On Performance of SISO Nanonetworks-based Molecular Communications

Rate region analysis of multi-terminal neuronal nanoscale molecular communication channel

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