Relevant bibliographies by topics / Nervous system Computer simulation

Academic literature on the topic 'Nervous system Computer simulation'

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Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "Nervous system Computer simulation"

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Wensch, Jörg, and Ben Sommeijer. "Parallel simulation of axon growth in the nervous system." Parallel Computing 30, no. 2 (February 2004): 163–86. http://dx.doi.org/10.1016/j.parco.2003.04.006.

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Furness, JB, JC Bornstein, WAA Kunze, PP Bertrand, H. Kelly, and EA Thomas. "EXPERIMENTAL BASIS FOR REALISTIC LARGE-SCALE COMPUTER SIMULATION OF THE ENTERIC NERVOUS SYSTEM." Clinical and Experimental Pharmacology and Physiology 23, no. 9 (September 1996): 786–92. http://dx.doi.org/10.1111/j.1440-1681.1996.tb01180.x.

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MIFTAHOF, ROUSTEM, and N. R. AKHMADEEV. "COMPUTER SIMULATION OF COTRANSMISSION BY EXCITATORY AMINO ACIDS AND ACETYLCHOLINE IN THE ENTERIC NERVOUS SYSTEM." Journal of Mechanics in Medicine and Biology 07, no. 02 (June 2007): 229–46. http://dx.doi.org/10.1142/s0219519407002261.

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The role of cotransmission by α-amino-3-hydroxy-5-methyl-4-isoxalose propionic acid (AMPA), L-aspartate, N-methyl-D-aspartate (NMDA), and acetylcholine (ACh) as well as the coexpression of AMPA, NMDA, and nicotinic ACh (nACh) receptors on the electrophysiological activity of the primary sensory (AH) and motor (S) neurons of the enteric nervous system are numerically assessed. Results of computer simulations showed that AMPA and L-Asp alone can induce fast action potentials of short duration on AH and S neurons. Costimulation of nACh and AMPA receptors on the soma of the S neuron resulted in periodic spiking activity. A characteristic biphasic response was recorded from the AH neuron after coactivation of AMPA and NMDA receptors. Glutamate alone acting on NMDA receptors caused prolonged depolarization of the AH neuron and failed to depolarize the S neuron. Cojoint stimulation of the AMPA or nACh receptors was required to produce the effect of glutamate. The overall electrical response of neurons to the activation of NMDA receptors was long-term depolarization. Acetylcholine, AMPA, and glutamate acting alone or cojointly enhanced phasic contraction of the longitudinal smooth muscle. Treatment of neurons with AMPA, NMDA, and nACh receptor antagonists revealed intricate properties of the AH and S neurons. Application of MK-801, D-AP5, and CPP reduced the excitability of the AH neuron and totally abolished electrical activity in the S neuron. The information gained into the cotransmission by excitatory amino acids and acetylcholine in the enteric nervous system may be beneficial in the development of novel effective therapeutics to treat diseases associated with altered visceral nociception, i.e. irritable bowel syndrome.
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ZHANG, DINGGUO, and KUANYI ZHU. "COMPUTER SIMULATION STUDY ON CENTRAL PATTERN GENERATOR: FROM BIOLOGY TO ENGINEERING." International Journal of Neural Systems 16, no. 06 (December 2006): 405–22. http://dx.doi.org/10.1142/s0129065706000810.

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Central pattern generator (CPG) is a neuronal circuit in the nervous system that can generate oscillatory patterns for the rhythmic movements. Its simplified format, neural oscillator, is wildly adopted in engineering application. This paper explores the CPG from an integral view that combines biology and engineering together. Biological CPG and simplified CPG are both studied. Computer simulation reveals the mechanism of CPG. Some properties, such as effect of tonic input and sensory feedback, stable oscillation, robustness, entrainment etc., are further studied. The promising results provide foundation for the potential engineering application in future.
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Smith, Bram W., Steen Andreassen, Geoffrey M. Shaw, Per L. Jensen, Stephen E. Rees, and J. Geoffrey Chase. "Simulation of cardiovascular system diseases by including the autonomic nervous system into a minimal model." Computer Methods and Programs in Biomedicine 86, no. 2 (May 2007): 153–60. http://dx.doi.org/10.1016/j.cmpb.2007.02.001.

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Nebot, Angela, Francisco Mugica, François E. Cellier, and Montserrat Vallverdú. "Modeling and Simulation of the Central Nervous System Control with Generic Fuzzy Models." SIMULATION 79, no. 11 (November 2003): 648–69. http://dx.doi.org/10.1177/0037549703038883.

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Batmunkh, Munkhbaatar, Lkhagvaa Bayarchimeg, Aleksandr N. Bugay, and Oidov Lkhagva. "Monte Carlo track structure simulation in studies of biological effects induced by accelerated charged particles in the central nervous system." EPJ Web of Conferences 204 (2019): 04008. http://dx.doi.org/10.1051/epjconf/201920404008.

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Simulating the biological damage induced by charged particles trajectories (tracks) in the central nervous system (CNS) at different levels of its organization (molecular, cellular, and tissue) is a challenge of modern radiobiology studies. According to the recent experimental studies at particle accelerators, the most radiation-sensitive area of the CNS is the hippocampus. In this regards, the development of measurement-based Monte Carlo simulation of radiation-induced alterations in the hippocampus is of great interest to understand the radiobiological effects on the CNS. The present work investigates the influence of charged particles on the hippocampal cells of the rat brain using the Geant4 Monte Carlo radiation transport code. The applied computer simulation provides a method to simulate physics processes and chemical reactions in the developed model of the rat hippocampus, which contains different types of neural cells - pyramidal cells, mature and immature granular cells, mossy cells, and neural stem cells. The distribution of stochastic energy depositions has been obtained and analyzed in critical structures of the hippocampal neurons after irradiation with 600 MeV/u iron particles. The computed energy deposition in irradiated hippocampal neurons following a track of iron ion suggests that most of the energy is accumulated by granular cells. The obtained quantities at the level of molecular targets also assume that NMDA and GABA receptors belong to the most probable targets in the irradiated neural cells.
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Armstrong, J. Douglas, and Jano I. van Hemert. "Towards a virtual fly brain." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 367, no. 1896 (June 13, 2009): 2387–97. http://dx.doi.org/10.1098/rsta.2008.0308.

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Models of the brain that simulate sensory input, behavioural output and information processing in a biologically plausible manner pose significant challenges to both computer science and biology. Here we investigated strategies that could be used to create a model of the insect brain, specifically that of Drosophila melanogaster that is very widely used in laboratory research. The scale of the problem is an order of magnitude above the most complex of the current simulation projects, and it is further constrained by the relative sparsity of available electrophysiological recordings from the fly nervous system. However, fly brain research at the anatomical and behavioural levels offers some interesting opportunities that could be exploited to create a functional simulation. We propose to exploit these strengths of Drosophila central nervous system research to focus on a functional model that maps biologically plausible network architecture onto phenotypic data from neuronal inhibition and stimulation studies, leaving aside biophysical modelling of individual neuronal activity for future models until more data are available.
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Shorov, Andrey, and Igor Kotenko. "The Framework for Simulation of Bioinspired Security Mechanisms against Network Infrastructure Attacks." Scientific World Journal 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/172583.

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The paper outlines a bioinspired approach named “network nervous system" and methods of simulation of infrastructure attacks and protection mechanisms based on this approach. The protection mechanisms based on this approach consist of distributed prosedures of information collection and processing, which coordinate the activities of the main devices of a computer network, identify attacks, and determine nessesary countermeasures. Attacks and protection mechanisms are specified as structural models using a set-theoretic approach. An environment for simulation of protection mechanisms based on the biological metaphor is considered; the experiments demonstrating the effectiveness of the protection mechanisms are described.
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Otten, E. "Multi-Joint Dynamics and the Development of Movement Control." Neural Plasticity 12, no. 2-3 (2005): 89–98. http://dx.doi.org/10.1155/np.2005.89.

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The movement control of articulated limbs in humans has been explained in terms of equilibrium points and moving equilibrium points or virtual trajectories. One hypothesis is that the nervous system controls multi-segment limbs by simply planning in terms of these equilibrium points and trajectories. The present paper describes a planar computer simulation of an articulated three-segment limb, controlled by pairs of muscles. The shape of the virtual trajectory is analyzed when the limb is required to make fast movements with endpoint movements along a straight line with bell-shaped velocity profiles. Apparently, the faster the movement, the more the virtual trajectory deviates from the real trajectory and becomes up to eight times longer. The complexity of the shape of the virtual trajectories and its length in these fast movements makes it unlikely that the nervous system plans using these trajectories. it seems simpler to set up the required bursts of muscle activation, coupled in the nervous system to the direction of movement, the s peed, and the place in workspace. Finally, it is argued that the two types of explanation do not contradict each other: when a relation is established in the nervous system between muscle activation and movements, equilibrium points and virtual trajectories are necessarily part of that relation.
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Dissertations / Theses on the topic "Nervous system Computer simulation"

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Sorensen, Michael Elliott. "Functional Consequences of Model Complexity in Hybrid Neural-Microelectronic Systems." Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/6908.

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Hybrid neural-microelectronic systems, systems composed of biological neural networks and neuronal models, have great potential for the treatment of neural injury and disease. The utility of such systems will be ultimately determined by the ability of the engineered component to correctly replicate the function of biological neural networks. These models can take the form of mechanistic models, which reproduce neural function by describing the physiologic mechanisms that produce neural activity, and empirical models, which reproduce neural function through more simplified mathematical expressions. We present our research into the role of model complexity in creating robust and flexible behaviors in hybrid systems. Beginning with a complex mechanistic model of a leech heartbeat interneuron, we create a series of three systematically reduced models that incorporate both mechanistic and empirical components. We then evaluate the robustness of these models to parameter variation, and assess the flexibility of the models activities. The modeling studies are validated by incorporating both mechanistic and semi-empirical models in hybrid systems with a living leech heartbeat interneuron. Our results indicate that model complexity serves to increase both the robustness of the system and the ability of the system to produce flexible outputs.
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Denizot, Audrey. "Simulation de la signalisation calcique dans les prolongements fins astrocytaires." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSEI093/document.

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Les astrocytes sont des cellules gliales du système nerveux central, essentielles à la formation des synapses, à la barrière hémato-encéphalique ainsi qu’au maintien de l'homéostasie. Récemment, les astrocytes ont été identifiés comme éléments clés du traitement de l'information dans le système nerveux central. Les astrocytes peuvent communiquer avec les neurones au niveau des synapses et moduler la communication neuronale en libérant des gliotransmetteurs et en absorbant des neurotransmetteurs. L’utilisation de nouvelles techniques comme la microscopie à super-résolution et les indicateurs calciques encodés génétiquement a permis de révéler une grande diversité spatio-temporelle des signaux calciques astrocytaires. La majorité de ces signaux sont observés au sein de leurs prolongements cellulaires, qui sont le site de communication entre neurones et astrocytes. Ces prolongements sont trop fins pour être observés en microscopie optique conventionnelle, de sorte que la microscopie à super-résolution et la modélisation informatique sont les seules méthodes adaptées à leur étude. Les travaux présentés dans cette thèse ont pour but d’étudier l'effet des propriétés spatiales (telles que la géométrie cellulaire, les distributions moléculaires et la diffusion) sur les signaux calciques dans les prolongements astrocytaires. Historiquement, les signaux calciques ont été modélisés à l'aide d'approches déterministes non spatiales. Ces modèles ont permis l'étude des signaux calciques à l’échelle de la cellule entière voire à l’échelle du réseau de cellules. Ces méthodes ne prennent cependant pas en compte la stochasticité inhérente aux interactions moléculaires ainsi que les effets de diffusion, qui jouent un rôle important dans les petits volumes. Cette thèse présente un modèle stochastique et spatial qui a été développé dans le but d’étudier les signaux calciques dans les prolongements fins astrocytaires. Ce travail a été réalisé en collaboration avec des expérimentateurs, qui nous ont fourni des données de microscopie électronique et à super-résolution. Ces données ont permis de valider le modèle. Les simulations du modèle suggèrent que (1) la diffusion moléculaire, fortement influencée par la concentration et la cinétique des buffers calciques endogènes et exogènes, (2) l'organisation spatiale intracellulaire des molécules, notamment le co-clustering des canaux calciques, (3) la géométrie du reticulum endoplasmique et sa localisation dans la cellule, (4) la géométrie cellulaire influencent fortement les signaux calciques et pourraient être responsables de leur grande diversité spatio-temporelle. Ces travaux contribuent à une meilleure compréhension du traitement de l’information par les astrocytes, un prérequis pour une meilleure compréhension de la communication entre les neurones et les astrocytes ainsi que de son influence sur le fonctionnement du cerveau
Astrocytes are predominant glial cells in the central nervous system, which are essential for the formation of synapses, participate to the blood-brain barrier and maintain the metabolic, ionic and neurotransmitter homeostasis. Recently, astrocytes have emerged as key elements of information processing in the central nervous system. Astrocytes can contact neurons at synapses and modulate neuronal communication via the release of gliotransmitters and the uptake of neurotransmitters. The use of super-resolution microscopy and highly sensitive genetically encoded Ca2+ indicators (GECIs) has revealed a striking spatiotemporal diversity of Ca2+ signals in astrocytes. Most astrocytic signals occur in processes, which are the sites of neuron-astrocyte communication. Those processes are too fine to be resolved by conventional light microscopy so that super-resolution microscopy and computational modeling remain the only methodologies to study those compartments. The work presented in this thesis aims at investigating the effect of spatial properties (as e.g cellular geometry, molecular distributions and diffusion) on Ca2+ signals in those processes, which are deemed essential in such small volumes. Historically, Ca2+ signals were modeled with deterministic well-mixed approaches, which enabled the study of Ca2+ signals in astrocytic networks or whole-cell events. Those methods however ignore the stochasticity inherent to molecular interactions as well as diffusion effects, which both play important roles in small volumes. In this thesis, we present the spatially-extended stochastic model that we have developed in order to investigate Ca2+ signals in fine astrocytic processes. This work was performed in collaboration with experimentalists that performed electron as well as super-resolution microscopy. The model was validated against experimental data. Simulations of the model suggest that (1) molecular diffusion, strongly influenced by the concentration and kinetics of endogenous and exogenous buffers, (2) intracellular spatial organization of molecules, notably the co-clustering of Ca2+ channels, (3) ER geometry and localization within the cell, (4) cellular geometry strongly influence Ca2+ dynamics and can be responsible for the striking diversity of astrocytic Ca2+ signals. This work contributes to a better understanding of astrocyte Ca2+ signals, a prerequisite for understanding neuron-astrocyte communication and its influence on brain function
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Thomas, Evan Alexander. "Mathematical and computer modelling of the enteric nervous system." Connect to thesis, 2001. http://repository.unimelb.edu.au/10187/2872.

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The enteric nervous system (ENS) runs within the intestinal wall and is responsible for initiating and enacting several reflexes and motor patterns, including peristalsis and the complex interdigestive motor programs, known as migrating motor complexes (MMCs). The ENS consists of several neuron types including intrinsic sensory neurons, interneurons and motor neurons. A great deal is known about the anatomy, pharmacology and electrophysiology of the ENS, yet there is almost no understanding of how enteric neural circuits perform the functions that they do and how they switch from one function to another. The ENS contains intrinsic sensory neurons (ISNs) that connect to every neuron type in the ENS, including making recurrent connections amongst themselves. Thus, they are likely to play a key role, not just in sensory transduction, but in coordination of reflexes and motor patterns. This thesis has explored how these functions are performed by developing and analysing mathematical and computer models of the network of ISNs. (For complete abstract open document)
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Zhang, Guoging 1963. "Knowledge based simulation system--an application in controlled environment simulation system." Thesis, The University of Arizona, 1988. http://hdl.handle.net/10150/292001.

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This thesis systematically identifies the building blocks of a knowledge based system for simulation and modelling. We present the design and implementation of Controlled Environment Simulation System (CESS), which bridges a discrete event simulation system (DEVS-SCHEME) and a continuous simulation system (TRNSYS). The rationale behind the approach is that a discrete or a continuous model can be abstracted to a level at which the uniform treatment on these two kinds of models is possible. A top-down approach to model creation (abstraction) is proposed, in contrast to the traditional bottom-up approach. CESS is implemented on an object-oriented programming environment (SCOOPS on TI-SCHEME). A knowledge representation scheme known as System Entity Structure is employed for MODEL management, recording system structural knowledge, and the utilization of techniques in Artificial Intelligence. Some prospective research topics are also brought up.
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Belote, Greg H. "Multivehicle simulation system." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/45812.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008.
Includes bibliographical references (p. 39).
In this thesis, we designed and implemented a simulator that supports multiple robots within a dynamic environment. The goal of this tool is to provide a testing environment for navigational robots that run on the MOOS platform. The simulator is written in C++ and utilizes several open source libraries to create a virtual world for robots to interact with by faking sensor information. A design goal of this thesis has been to make the simulator versatile enough to be useful for a variety of robots, from land to marine. Such a tool is valuable in research because the cost of developing a custom simulator can consume too many man-hours. Reducing this cost by creating a generic and customizable simulator has been the main motivation behind this thesis. It has also been one of the major challenges behind the project.
by Greg H. Belote.
M.Eng.
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Zoorob, Riad J. "S.E.S., a simulation expert system." Virtual Press, 1994. http://liblink.bsu.edu/uhtbin/catkey/897507.

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The continuous increase in the cost of building real life projects, the high cost of researches concerning a project and the urgent demands for the project to be delivered in a short period of time have urged researchers to find a new scheme of programming in which they would be able to simulate or emulate the real life activities and projects using a computer and a procedural language. But such a scheme of programming was lengthy, tedious and costly. Therefore, it was necessary to find a specialized simulation software that would save the programmer's time and effort on the one hand and would save the client's money on the other. A number of simulation software were developed recently which contributed greatly to the solutions of the simulation problems. However, none of these languages possessed the completeness nor the independence of the use of other tools or procedural languages to compensate for their deficiencies.In this paper I have proposed a number of new ideas aimed to improve the simulation languages in general, and have implemented a number of these ideas in a software package. Chapter one describes the simulation model and the basic concepts of simulation. Chapter two describes briefly the advantages and disadvantages of using simulation software. Also it outlines the limitations of currently used simulation packages. Finally, it suggests new ideas and expectations of a complete simulation package. Chapter three describes the simulation package prototype S. E. S. and gives some implementations. Chapter four explains the basic differences between S. E. S. and SLAM II and shows areas for further research.
Department of Computer Science
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Sedlackova, Anna. "Replicating Motion Vision and Response in Insects Using a Synthetic Nervous System." Case Western Reserve University School of Graduate Studies / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=case1593309220545937.

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Verma, Yukti. "Secure system simulation - Internet of Things." Thesis, California State University, Long Beach, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10116148.

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Internet of Things (IoT) can be defined as a collection of smart devices interacting with each other unanimously to fulfill a common goal. The real world data collected from the Internet of Things can be made as an integral part of web known as Web of Things (WoT). With the help of Web of Things architecture, the users can leverage simple web mechanisms such as browsing, searching and caching to interact with the smart devices. This thesis aims to create an entire system simulating the Web of Things architecture including sensors, edge routers, web interfaces, endpoints to the IoT network and access control. Several technologies such as CoAP, 6LoWPAN, IEEE 802.15.4, contiki and DTLS have been evaluated before inclusion in the implementation. A complete web portal utilizing Californium framework and Role Based Access Control has been created for accessing and interacting with the sensors and their data. This thesis provides an end-to-end approach towards IoT device security by implementing Constrained Application Protocol (CoAP) over Datagram Transport Layer Security (DTLS) in the system. The performance of secured system is analyzed in a constrained environment based on which it is observed that DLTS implementation increases the RAM usage, code size, packet overhead and power consumption by a significant value. Finally, the future work that needs to considered in order to iterate towards better security is specified.

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Chadha, Vikrampal. "Simulation of large-scale system-level models." Thesis, This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-12162009-020334/.

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Lai, Tsz-ming Terence, and 黎子明. "Harmonic simulation of traction system." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B3122281X.

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Books on the topic "Nervous system Computer simulation"

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H, Eeckman Frank, and Conference on Analysis and Modeling of Neural Systems (1990 : Berkeley, Calif.), eds. Analysis and modeling of neural systems. Boston: Kluwer Academic Publishers, 1992.

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1973-, Friesen Jonathon A., ed. NeuroDynamix II: Concepts of neurophysiology illustrated by computer simulations. New York: Oxford University Press, 2010.

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Modeling brain function: The world of attractor neural networks. Cambridge [England]: Cambridge University Press, 1989.

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1956-, Koch Christof, and Segev Idan, eds. Methods in neuronal modeling: From synapses to networks. Cambridge, Mass: MIT Press, 1989.

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Beer, Randall D. Intelligence as adaptive behavior: An experiment in computational neuroethology. Boston: Academic Press, 1990.

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L, Schwartz Eric, ed. Computational neuroscience. Cambridge, Mass: MIT Press, 1990.

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Achacoso, Theodore B. AY's neuroanatomy of C. elegans for computation. Boca Raton: CRC Press, 1992.

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missing], [name. Advanced techniques in image-guided brain and spine surgery. New York, NY: Thieme, 2003.

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A, Reggia James, Ruppin Eytan, and Berndt Rita Sloan, eds. Neural modeling of brain and cognitive disorders. Singapore: World Scientific, 1996.

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Murray-Smith, D. J. Continuous system simulation. London: Chapman & Hall, 1995.

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Book chapters on the topic "Nervous system Computer simulation"

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Kurbanov, Vugar G., Andrey E. Gorodetskiy, and I. L. Tarasova. "Computer Simulation of Automatic Control System Ciliated Propulsion." In Smart Electromechanical Systems: The Central Nervous System, 249–59. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-53327-8_18.

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Hayami, T., K. Iramina, and X. Chen. "Computer Simulation of Nerve Conduction Study of a Sural Nerve to Evaluate Human Peripheral Nervous System." In 6th International Conference on the Development of Biomedical Engineering in Vietnam (BME6), 461–65. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4361-1_78.

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Varfolomeev, Sergey, Bella Grigorenko, Sofya Lushchekina, Patrick Masson, Galina Mahaeva, and Alexander Nemuchin. "Human cholinesterases." In ORGANOPHOSPHORUS NEUROTOXINS, 69–126. ru: Publishing Center RIOR, 2020. http://dx.doi.org/10.29039/21_069-126.

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The work is devoted to modeling the elementary stages of the hydrolysis reaction in the active site of enzymes belonging to the class of cholinesterases — acetylcholinesterase (AChE) and butyrylcholinesterase (BChE). The study allowed to describe at the molecular level the effect of the polymorphic modification of BChE, causing serious physiolog ical consequences. Cholinesterase plays a crucial role in the human body. AChE is one of the key enzymes of the central nervous system, and BChE performs protective functions in the body. According to the results of calculations using the combined method of quantum and molecular mechanics (KM/MM), the mechanism of the hydrolysis of the native acetylcholine substrate in the AChE active center was detailed. For a series of ester substrates, a method for estimation of dependence of the enzyme reactivity on the structure of the substrate has been developed. The mechanism of hydrolysis of the muscle relaxant of succininylcholine BChE and the effect of the Asp70Gly polymorph on it were studied. Using various computer simulation methods, the stability of the enzyme-substrate complex of two enzyme variants with succinylcholine was studied.
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Varfolomeev, Sergey, Bella Grigorenko, Sofya Lushchekina, and Alexander Nemuchin. "Human cholinesterases." In Organophosphorous Neurotoxins, 63–120. ru: Publishing Center RIOR, 2020. http://dx.doi.org/10.29039/chapter_5e4132b5f22366.15634219.

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The work is devoted to modeling the elementary stages of the hydrolysis reaction in the active site of enzymes belonging to the class of cholinesterases — acetylcholinesterase (AChE) and butyrylcholinesterase (BChE). The study allowed to describe at the molecular level the effect of the polymorphic modification of BChE, causing serious physiolog ical consequences. Cholinesterase plays a crucial role in the human body. AChE is one of the key enzymes of the central nervous system, and BChE performs protective functions in the body. According to the results of calculations using the combined method of quantum and molecular mechanics (KM/MM), the mechanism of the hydrolysis of the native acetylcholine substrate in the AChE active center was detailed. For a series of ester substrates, a method for estimation of dependence of the enzyme reactivity on the structure of the substrate has been developed. The mechanism of hydrolysis of the muscle relaxant of succininylcholine BChE and the effect of the Asp70Gly polymorph on it were studied. Using various computer simulation methods, the stability of the enzyme-substrate complex of two enzyme variants with succinylcholine was studied.
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Kandel, Matthieu, and Maude Tollet. "Anatomy of the Nervous System." In Brain-Computer Interfaces 1, 1–24. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781119144977.ch1.

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Serpanos, D. N., M. Gambrili, and D. Chaviaras. "Simulation of Computer System Architectures." In Applied System Simulation, 41–60. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4419-9218-5_3.

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Couesnon, T., D. Laurent, and S. Motet. "The Geo-Graph Simulation System." In Advanced Computer Graphics, 244–59. Tokyo: Springer Japan, 1986. http://dx.doi.org/10.1007/978-4-431-68036-9_17.

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Chen, Shanzhi, Fei Qin, Bo Hu, Xi Li, Zhonglin Chen, and Jiamin Liu. "Simulation and System Solution." In SpringerBriefs in Electrical and Computer Engineering, 57–71. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61201-0_7.

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Hill, Richard, and Stuart Berry. "From Process to System Simulation." In Texts in Computer Science, 101–25. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-79104-9_6.

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Okol’nishnikov, Victor, and Sergey Rudometov. "Development of Distributed Simulation System." In Lecture Notes in Computer Science, 524–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45145-7_49.

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Conference papers on the topic "Nervous system Computer simulation"

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Sun, Jinming, and Philip A. Voglewede. "Dynamic Simulation of Human Gait Using a Combination of Model Predictive and PID Control." In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-35582.

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Human gait studies have not been applied frequently to the prediction of the performance of medical devices such as prostheses and orthoses. The reason is most biomechanics simulations require experimental data such as muscle activity or joint moment information a priori. In addition, biomechanical models are normally too complicated to be adjusted and these simulations normally take a long period of time to be performed which makes testing of various possibilities time consuming; therefore they are not suitable for prediction purpose. The objective of this research is to develop a control oriented human gait model that is able to predict the performance of prostheses and orthoses before they are experimentally tested. This model is composed of two parts. The first part is a seven link nine degree-of-freedom (DOF) plant to represent the forward dynamics of human gait. The second part is a control system which is a combination of Model Predictive Control (MPC) and Proportional-Integral-Derivative (PID) control. The purpose of this control system is to simulate the central nervous system (CNS). This model is sufficiently simple that it can be simulated and adjusted in a reasonable time, while still representing the essential principles of human gait.
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Sun, Jinming, Shaoli Wu, and Philip A. Voglewede. "The Development of a Human Gait Model With Predictive Capability and the Simulation of Able-Bodied Gait." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-47382.

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The development of current prostheses and orthoses typically follows a trial and error approach where the devices are designed based on experience, tried on human subjects and then redesigned iteratively. This design approach is costly, risky and time consuming. A predictive human gait model is desired such that prostheses can be virtually tested so that their performance can be predicted qualitatively, the cost can be reduced, and the risks can be minimized. The development of such a model is explained in this paper. The developed model includes two parts: a plant model which represents the forward dynamics of human gait and a controller which represents the central nervous system (CNS). The development of the plant model is explained in a different paper. This paper focuses on the control algorithm development and able-bodied gait simulation. The controller proposed in this paper utilizes model predictive control (MPC). MPC uses an internal model to predict the output in advance, compare the predicted output to the reference, and optimize control input so that the error between them is minimal. The developed predictive human gait model was validated by simulating able-bodied human gait. The simulation results showed that the controller is able to simulate the kinematic output close to experimental data.
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Kim, Seung-Jae, and Hermano Igo Krebs. "MIT-Skywalker: Preliminary Insights on Performance-Based Locomotor Training." In ASME 2010 Dynamic Systems and Control Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/dscc2010-4173.

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Gait rehabilitation promotes the reduction of gait deficits resulting from neurological pathologies by enhancing activity-dependent plasticity in the central nervous system. To maximize the therapeutic benefit of gait training, the key components appear to be subjects’ active participation and intensity. In this paper we discuss a performance-based training scheme for a novel gait trainer (MIT-Skywalker) that can challenge patients by systematically adjusting the treadmill speed and visual feedback. In our algorithm, the speed is adjusted based on gait performance of step length symmetry and subject’s ability to cope with the treadmill speed. Computer simulations demonstrate that the gait speed controller adapts to changes in walking performance, suggesting a potential scheme for gait therapy.
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Shah, Vrutangkumar V., Sachin Goyal, and Harish Palanthandalam-Madapusi. "A Biomechanical Approach to Diagnosis and Monitoring of Parkinson’s Disease." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-46781.

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Parkinson’s disease is an idiopathic and degenerative disorder of the central nervous system. Among the symptoms, the tremor at rest is one of the prominent symptoms. The challenge however is that there are no definitive diagnostic test that can confirm the presence or severity of Parkinson’s disease. This is a serious handicap especially since the drugs usually prescribed to control these symptoms have serious side effects and their dosages have to be tuned extensively. Also, the exact origin of tremor is unknown. There have been recent efforts [19] to understand the mechanism behind the Parkinsonian tremor, from a control-system perspectives. From these efforts, it appears that increased sensorimotor loop delay may be a cause for Parkinsonian tremor and thus serve as a key distinguishing feature. In the current work, we adopted this hypothesis and with the help of a relatively straightforward analysis of the motor control loop along with the help of some simulation and experimental examples, we first attempt to explain several qualitative observations relating to Parkinson’s Disease. Further, we explore the possibilities of for progress tracking, diagnosis, and early diagnosis before onset of tremor using biomechanical means.
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Ackermann, Marko. "A Novel Optimization Approach to Generate Physiological Human Walking Patterns." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35014.

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Dynamic simulation of the musculoskeletal system is increasingly being used to study human normal and pathological walking. The common approach to predict walking patterns is based on the assumption that the central nervous system minimizes an intrinsic performance criterion. For instance, during walking, the energy expenditure per unit of distance traveled was shown to play a key role. The resulting optimal control problem is almost exclusively solved by the so-called dynamic optimization. Dynamic optimization relies on the parameterization of neural excitations using nodal values serving as optimization variables. The reconstructed neural excitations are then used to numerically integrate the differential equations describing the dynamics of the musculoskeletal system. This approach has been successfully applied to predict salient normal walking patterns, including muscle coordination and energy expenditure. In spite of the growing use of dynamic optimization, the extremely high computational effort arising from the several numerical integrations of the large-scale state equations required prevents it from being more widely applied, e.g., for bioassistive devices. Approaches based on inverse dynamics have the potential to reduce the high computation effort by avoiding the necessity of numerically integrating the state equations, but have been poorly explored in biomechanics. The development of an inverse dynamics-based approach to generate near-optimal human walking patterns that deals with the overdeterminacy of muscle actuation in conjunction with Hill-type muscle models widely used in biomechanics is proposed in this paper. The approach is based on the parameterization of the motion and muscle forces. The neural excitations are obtained by inverting the muscle contraction and activation dynamics. The compatibility between motion and muscle forces is guaranteed by checking the fulfillment of the equations of motion of the skeletal system at control points. The approach is implemented and human normal and pathological gaits are generated and applied to the design of transtibial prostheses.
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Wang, Zhaoming, Feng Wang, and Xiqoqiang Ji. "Analysis of Autonomic Nervous System Based on HRV." In 2019 4th International Conference on Mechanical, Control and Computer Engineering (ICMCCE). IEEE, 2019. http://dx.doi.org/10.1109/icmcce48743.2019.00076.

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Cret, Laura, Mihaela Plesa, Dan Doru Micu, and Radu Vasile Ciupa. "Magnetic Coils Design for Focal Stimulation of the Nervous System." In EUROCON 2007 - The International Conference on "Computer as a Tool". IEEE, 2007. http://dx.doi.org/10.1109/eurcon.2007.4400661.

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Attila, Godo Zoltan, Loos Marcell, Kocsis Denes, and Revesz Csaba. "Multiprocessors parallel computer for the signal processing of living nervous system." In 2014 IEEE 12th International Symposium on Applied Machine Intelligence and Informatics (SAMI). IEEE, 2014. http://dx.doi.org/10.1109/sami.2014.6822420.

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Li, Ke, Xiaoxin Wang, Weidong Li, Jiali Cheng, Yanhang Zhang, and Lijuan Hou. "Advances in the Role of ADF / Cofilin in Central Nervous System." In 2017 2nd International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE 2017). Paris, France: Atlantis Press, 2017. http://dx.doi.org/10.2991/isaeece-17.2017.3.

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Kotenko, I., A. Shorov, and E. Novikova. "Simulation of Protection Mechanisms Based on "Nervous Network System" against Infrastructure Attacks." In 2013 21st Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP 2013). IEEE, 2013. http://dx.doi.org/10.1109/pdp.2013.85.

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Reports on the topic "Nervous system Computer simulation"

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Kettering, B., and P. Van Arsdall. Integrated computer control system startup simulation. Office of Scientific and Technical Information (OSTI), February 1998. http://dx.doi.org/10.2172/8307.

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Rhode, William S. University - Instrumentation-Research-Program: Computer-Aided Study of Stochastic Processes in the Nervous System. Fort Belvoir, VA: Defense Technical Information Center, May 1987. http://dx.doi.org/10.21236/ada193010.

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Kettering, B., and P. Van Arsdall. Integrated computer control system status monitor simulation. Office of Scientific and Technical Information (OSTI), September 1998. http://dx.doi.org/10.2172/8308.

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Van Arsdall, P., and C. E. Annese. Integrated computer control system countdown status messages simulation. Office of Scientific and Technical Information (OSTI), October 1998. http://dx.doi.org/10.2172/8047.

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Bilgutay, Nihat M. Computer Facilities for High-Speed Data Acquisition, Signal Processing and Large Scale System Simulation. Fort Belvoir, VA: Defense Technical Information Center, June 1986. http://dx.doi.org/10.21236/ada170935.

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Ford, Richard L., and W. Ralph Nelson. The EGS Code System: Computer Programs for the Monte Carlo Simulation of Electromagnetic Cascade Showers (Version 3). Office of Scientific and Technical Information (OSTI), August 2006. http://dx.doi.org/10.2172/1104725.

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Middlebrooks, Sam E., Beverly G. Knapp, B. Diane Barnette, Cheryl A. Bird, and Joyce M. Johnson. CoHOST (Computer Modeling of Human Operator System Tasks) Computer Simulation Models to Investigate Human Performance Task and Workload Conditions in a U.S. Army Heavy Maneuver Battalion Tactical Operations Center. Fort Belvoir, VA: Defense Technical Information Center, August 1999. http://dx.doi.org/10.21236/ada368587.

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Markova, Oksana, Serhiy Semerikov, and Maiia Popel. СoCalc as a Learning Tool for Neural Network Simulation in the Special Course “Foundations of Mathematic Informatics”. Sun SITE Central Europe, May 2018. http://dx.doi.org/10.31812/0564/2250.

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The role of neural network modeling in the learning сontent of special course “Foundations of Mathematic Informatics” was discussed. The course was developed for the students of technical universities – future IT-specialists and directed to breaking the gap between theoretic computer science and it’s applied applications: software, system and computing engineering. CoCalc was justified as a learning tool of mathematical informatics in general and neural network modeling in particular. The elements of technique of using CoCalc at studying topic “Neural network and pattern recognition” of the special course “Foundations of Mathematic Informatics” are shown. The program code was presented in a CofeeScript language, which implements the basic components of artificial neural network: neurons, synaptic connections, functions of activations (tangential, sigmoid, stepped) and their derivatives, methods of calculating the network`s weights, etc. The features of the Kolmogorov–Arnold representation theorem application were discussed for determination the architecture of multilayer neural networks. The implementation of the disjunctive logical element and approximation of an arbitrary function using a three-layer neural network were given as an examples. According to the simulation results, a conclusion was made as for the limits of the use of constructed networks, in which they retain their adequacy. The framework topics of individual research of the artificial neural networks is proposed.
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Modlo, Yevhenii O., Serhiy O. Semerikov, Pavlo P. Nechypurenko, Stanislav L. Bondarevskyi, Olena M. Bondarevska, and Stanislav T. Tolmachev. The use of mobile Internet devices in the formation of ICT component of bachelors in electromechanics competency in modeling of technical objects. [б. в.], September 2019. http://dx.doi.org/10.31812/123456789/3264.

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Computer simulation of technical objects and processes is one of the components of the system of professional training of a modern electromechanics engineer. It has been established that despite the fact that mobile Internet devices (MID) are actively used by electrical engineers, the methods of using them in the process of bachelor in electromechanics training is considered only in some domestic scientific studies. The article highlights the components of the methods of using MID in the formation of the ICT component of the competence of the bachelor in electromechanics in modeling of technical objects, providing for students to acquire basic knowledge in the field of Computer Science and modern ICT and skills to use programming systems, math packages, subroutine libraries, and the like. For processing tabular data, it is proposed to use various freely distributed tools that do not significantly differ in functionality, such as Google Sheets, Microsoft Excel, for processing text data – QuickEdit Text Editor, Google Docs, Microsoft Word. For 3D-modeling and viewing the design and technological documentation, the proposed comprehensive use of Autodesk tools in the training process.
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Semerikov, Serhiy, Viacheslav Osadchyi, and Olena Kuzminska. Proceedings of the 1st Symposium on Advances in Educational Technology - Volume 2: AET. SciTePress, 2022. http://dx.doi.org/10.31812/123456789/7011.

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Symposium on Advances in Educational Technology (AET) is a peer-reviewed international conference focusing on research advances and applications of combined use of computer hardware, software, and educational theory and practice to facilitate learning. Today, AET is the premier interdisciplinary forum for learning scientists, academicians, researchers, professionals, policymakers, postgraduate students, and practitioners to present their latest research results, ideas, developments, and applications. AET topics of interest are: • Artificial intelligence in education • Augmented reality in education • Cloud-based learning environments • Cloud technologies for mathematics learning • Cloud technologies for informatics learning • Computer simulation in science and mathematics learning • ICT in primary and secondary education • ICT in higher education • Learning environments • Learning technology • Professional training in the digital space • Massive open online courses • Methodology of informatization in education • Modelling systems in education • Psychological safety in the digital educational environment • Soft skills development • STEM education • Virtualization of learning This volume represents the proceedings of the Symposium on Advances in Educational Technology, held in Kyiv, Ukraine, on November 12-13, 2020. It comprises 110 contributed papers that were carefully peer-reviewed and selected from 282 submissions. Each submission was reviewed by at least 3, and on the average 3.1, program committee members. The accepted papers present a state-of-the-art overview of successful cases and provide guidelines for future research. We are thankful to all the authors who submitted papers and the delegates for their participation and their interest in AET as a platform to share their ideas and innovation. Also, we are also thankful to all the program committee members for providing continuous guidance and efforts taken by peer reviewers contributed to improve the quality of papers provided constructive critical comments, improvements and corrections to the authors are gratefully appreciated for their contribution to the success of the workshop. Moreover, we would like to thank the developers of HotCRP, who made it possible for us to use the resources of this excellent and comprehensive conference management system, from the call of papers and inviting reviewers, to handling paper submissions, communicating with the authors, and creating the volume of the workshop proceedings.
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