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Статті в журналах з теми "Computational morphogenesi"

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MACLENNAN, BRUCE J. "EMBODIED COMPUTATION: APPLYING THE PHYSICS OF COMPUTATION TO ARTIFICIAL MORPHOGENESIS." Parallel Processing Letters 22, no. 03 (July 8, 2012): 1240013. http://dx.doi.org/10.1142/s0129626412400130.

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We discuss the problem of assembling complex physical systems that are structured from the nanoscale up through the macroscale, and argue that embryological morphogenesis provides a good model of how this can be accomplished. Morphogenesis (whether natural or artificial) is an example of embodied computation, which exploits physical processes for computational ends, or performs computations for their physical effects. Examples of embodied computation in natural morphogenesis can be found at many levels, from allosteric proteins, which perform simple embodied computations, up through cells, which act to create tissues with specific patterns, compositions, and forms. We outline a notation for describing morphogenetic programs and illustrate its use with two examples: simple diffusion and the assembly of a simple spine with attachment points for legs. While much research remains to be done — at the simulation level before we attempt physical implementations — our results to date show how we may implement the fundamental processes of morphogenesis as a practical application of embodied computation at the nano- and microscale.
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Dodig-Crnkovic, Gordana. "Cognition as Morphological/Morphogenetic Embodied Computation In Vivo." Entropy 24, no. 11 (October 31, 2022): 1576. http://dx.doi.org/10.3390/e24111576.

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Cognition, historically considered uniquely human capacity, has been recently found to be the ability of all living organisms, from single cells and up. This study approaches cognition from an info-computational stance, in which structures in nature are seen as information, and processes (information dynamics) are seen as computation, from the perspective of a cognizing agent. Cognition is understood as a network of concurrent morphological/morphogenetic computations unfolding as a result of self-assembly, self-organization, and autopoiesis of physical, chemical, and biological agents. The present-day human-centric view of cognition still prevailing in major encyclopedias has a variety of open problems. This article considers recent research about morphological computation, morphogenesis, agency, basal cognition, extended evolutionary synthesis, free energy principle, cognition as Bayesian learning, active inference, and related topics, offering new theoretical and practical perspectives on problems inherent to the old computationalist cognitive models which were based on abstract symbol processing, and unaware of actual physical constraints and affordances of the embodiment of cognizing agents. A better understanding of cognition is centrally important for future artificial intelligence, robotics, medicine, and related fields.
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3

Ohmori, Hiroshi. "Computational Morphogenesis." International Journal of Space Structures 25, no. 2 (June 2010): 75–82. http://dx.doi.org/10.1260/0266-3511.25.2.75.

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Ohmori, Hiroshi. "Computational Morphogenesis." International Journal of Space Structures 26, no. 3 (September 2011): 269–76. http://dx.doi.org/10.1260/0266-3511.26.3.269.

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KOUMOUTSAKOS, PETROS, BASIL BAYATI, FLORIAN MILDE, and GERARDO TAURIELLO. "PARTICLE SIMULATIONS OF MORPHOGENESIS." Mathematical Models and Methods in Applied Sciences 21, supp01 (April 2011): 955–1006. http://dx.doi.org/10.1142/s021820251100543x.

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The simulation of the creation and evolution of biological forms requires the development of computational methods that are capable of resolving their hierarchical, spatial and temporal complexity. Computations based on interacting particles, provide a unique computational tool for discrete and continuous descriptions of morphogenesis of systems ranging from the molecular to the organismal level. The capabilities of particle methods hinge on the simplicity of their formulation which enables the formulation of a unifying computational framework encompassing deterministic and stochastic models. In this paper, we discuss recent advances in particle methods for the simulation of biological systems at the mesoscopic and the macroscale level. We present results from applications of particle methods including reaction–diffusion on deforming surfaces, deterministic and stochastic descriptions of tumor growth and angiogenesis and discuss successes and challenges of this approach.
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Pasquero, Claudia, and Marco Poletto. "Cities as biological computers." Architectural Research Quarterly 20, no. 1 (March 2016): 10–19. http://dx.doi.org/10.1017/s135913551600018x.

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In this paper the authors propose a conceptual model and a bio-computational design method to articulate the world's Urbansphere, suggesting new terms for its co-evolution with the Biosphere.The proposed model responds to principles of biological self-organisation, and operates by embedding a numerical/computational engine, a living Physarum polycephalum, onto a spatial/morphogenetic substratum, a Satellite driven informational territory. This integration is embodied in the Physarum Machine, a bio-digital design apparatus conceived by the authors and further developed within the Urban Morphogenesis Lab at the UCL in London.The use of specifically designed apparatus of material computation to demonstrate and solve problems of urban morphogenesis is not new and the authors refer to the work of German Architect Frei Otto and his theory for the occupation and connection of territories.This research leads to a notion of bio-city of the future where manmade infrastructures and non-human biological systems will constitute parts of a single biotechnological whole. To this respect it can be read as a manifesto for the extension of biotechnology to the scale of the Biosphere (biosphere geo-engineering) by expanding the scope and material articulation of global informational and energetic infrastructures (the internet of things and the internet of energy).In the tradition of design based research, the paper also suggests an application of the proposed model to a specific case study demonstrating its efficacy in the re-conceptualization of the post-industrial and ecologically depleted landscapes of eastern Arizona. In conclusion the experiment describes the potential of augmenting materiality through sensors and microprocessors so that it would become possible to harvest the computational power latent in micro-organisms like the slime mould.The dream outlined here is for an era where descriptive computation will be superseded by our capability to simulate and compute through the world that surrounds us.
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Fletcher, Alexander G., Fergus Cooper, and Ruth E. Baker. "Mechanocellular models of epithelial morphogenesis." Philosophical Transactions of the Royal Society B: Biological Sciences 372, no. 1720 (March 27, 2017): 20150519. http://dx.doi.org/10.1098/rstb.2015.0519.

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Embryonic epithelia achieve complex morphogenetic movements, including in-plane reshaping, bending and folding, through the coordinated action and rearrangement of individual cells. Technical advances in molecular and live-imaging studies of epithelial dynamics provide a very real opportunity to understand how cell-level processes facilitate these large-scale tissue rearrangements. However, the large datasets that we are now able to generate require careful interpretation. In combination with experimental approaches, computational modelling allows us to challenge and refine our current understanding of epithelial morphogenesis and to explore experimentally intractable questions. To this end, a variety of cell-based modelling approaches have been developed to describe cell–cell mechanical interactions, ranging from vertex and ‘finite-element’ models that approximate each cell geometrically by a polygon representing the cell's membrane, to immersed boundary and subcellular element models that allow for more arbitrary cell shapes. Here, we review how these models have been used to provide insights into epithelial morphogenesis and describe how such models could help future efforts to decipher the forces and mechanical and biochemical feedbacks that guide cell and tissue-level behaviour. In addition, we discuss current challenges associated with using computational models of morphogenetic processes in a quantitative and predictive way. This article is part of the themed issue ‘Systems morphodynamics: understanding the development of tissue hardware’.
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Riguidel, Michel. "Morphogenesis of the Zeta Function in the Critical Strip by Computational Approach." Mathematics 6, no. 12 (November 26, 2018): 285. http://dx.doi.org/10.3390/math6120285.

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This article proposes a morphogenesis interpretation of the zeta function by computational approach by relying on numerical approximation formulae between the terms and the partial sums of the series, divergent in the critical strip. The goal is to exhibit structuring properties of the partial sums of the raw series by highlighting their morphogenesis, thanks to the elementary functions constituting the terms of the real and imaginary parts of the series, namely the logarithmic, cosine, sine, and power functions. Two essential indices of these sums appear: the index of no return of the vagrancy and the index of smothering of the function before the resumption of amplification of its divergence when the index tends towards infinity. The method consists of calculating, displaying graphically in 2D and 3D, and correlating, according to the index, the angles, the terms and the partial sums, in three nested domains: the critical strip, the critical line, and the set of non-trivial zeros on this line. Characteristics and approximation formulae are thus identified for the three domains. These formulae make it possible to grasp the morphogenetic foundations of the Riemann hypothesis (RH) and sketch the architecture of a more formal proof.
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Rorot, Wiktor. "Counting with Cilia: The Role of Morphological Computation in Basal Cognition Research." Entropy 24, no. 11 (October 31, 2022): 1581. http://dx.doi.org/10.3390/e24111581.

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“Morphological computation” is an increasingly important concept in robotics, artificial intelligence, and philosophy of the mind. It is used to understand how the body contributes to cognition and control of behavior. Its understanding in terms of "offloading" computation from the brain to the body has been criticized as misleading, and it has been suggested that the use of the concept conflates three classes of distinct processes. In fact, these criticisms implicitly hang on accepting a semantic definition of what constitutes computation. Here, I argue that an alternative, mechanistic view on computation offers a significantly different understanding of what morphological computation is. These theoretical considerations are then used to analyze the existing research program in developmental biology, which understands morphogenesis, the process of development of shape in biological systems, as a computational process. This important line of research shows that cognition and intelligence can be found across all scales of life, as the proponents of the basal cognition research program propose. Hence, clarifying the connection between morphological computation and morphogenesis allows for strengthening the role of the former concept in this emerging research field.
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Dokmegang, Joel, Moi Hoon Yap, Liangxiu Han, Matteo Cavaliere, and René Doursat. "Computational modelling unveils how epiblast remodelling and positioning rely on trophectoderm morphogenesis during mouse implantation." PLOS ONE 16, no. 7 (July 28, 2021): e0254763. http://dx.doi.org/10.1371/journal.pone.0254763.

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Understanding the processes by which the mammalian embryo implants in the maternal uterus is a long-standing challenge in embryology. New insights into this morphogenetic event could be of great importance in helping, for example, to reduce human infertility. During implantation the blastocyst, composed of epiblast, trophectoderm and primitive endoderm, undergoes significant remodelling from an oval ball to an egg cylinder. A main feature of this transformation is symmetry breaking and reshaping of the epiblast into a “cup”. Based on previous studies, we hypothesise that this event is the result of mechanical constraints originating from the trophectoderm, which is also significantly transformed during this process. In order to investigate this hypothesis we propose MG# (MechanoGenetic Sharp), an original computational model of biomechanics able to reproduce key cell shape changes and tissue level behaviours in silico. With this model, we simulate epiblast and trophectoderm morphogenesis during implantation. First, our results uphold experimental findings that repulsion at the apical surface of the epiblast is essential to drive lumenogenesis. Then, we provide new theoretical evidence that trophectoderm morphogenesis indeed can dictate the cup shape of the epiblast and fosters its movement towards the uterine tissue. Our results offer novel mechanical insights into mouse peri-implantation and highlight the usefulness of agent-based modelling methods in the study of embryogenesis.
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Дисертації з теми "Computational morphogenesi"

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RAJABZADEH, SHAGHAYEGH. "On the Computational Design of Free-form Masonry Vault." Doctoral thesis, Politecnico di Torino, 2015. http://hdl.handle.net/11583/2616850.

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For many years, shell structures have had an important role in architecture and engineering. After the industrial revolution and shifting from masonry construction to steel and concrete, the social, economical and environmental role in masonry construction has been underestimated. Targeting to use the digital tools, this thesis is proposing a method to re-design vaults and domes at the present time, respecting the current architectural requirements. Reviewing the brief background of masonry construction and looking over the recent researches, two workshops have been processed in Politecnico di Torino. Both workshops were concentrated on designing and constructing free-form masonry shells by help of digital tools and computational methods. Regarding the results of these practical experiments, a tool has been created developed, which helps the masonry shell designers to model the brick patterning automatically on a curved surface. This research is exploiting the process of developing this method by means of digital tools. The bricklaying is simulated inside the 3D virtual environment by integrating the scripting language, Python, and commercial CAD software, Rhinoceros. Not ignoring the role of the designers in the decision-making procedures, this tool is implemented as an interactive method between the designers and the digital tools.
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Saygun, Yakup. "Computational Stochastic Morphogenesis." Thesis, Uppsala universitet, Avdelningen för beräkningsvetenskap, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-257096.

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Self-organizing patterns arise in a variety of ways in nature, the complex patterning observed on animal coats is such an example. It is already known that the mechanisms responsible for pattern formation starts at the developmental stage of an embryo. However, the actual process determining cell fate has been, and still is, unknown. The mathematical interest for pattern formation emerged from the theories formulated by the mathematician and computer scientist Alan Turing in 1952. He attempted to explain the mechanisms behind morphogenesis and how the process of spatial cell differentiation from homogeneous cells lead to organisms with different complexities and shapes. Turing formulated a mathematical theory and proposed a reaction-diffusion system where morphogens, a postulated chemically active substance, moderated the whole mechanism. He concluded that this process was stable as long as diffusion was neglected; otherwise this would lead to a diffusion-driven instability, which is the fundamental part of pattern formation. The mathematical theory describing this process consists of solving partial differential equations and Turing considered deterministic reaction-diffusion systems.   This thesis will start with introducing the reader to the problem and then gradually build up the mathematical theory needed to get an understanding of the stochastic reaction-diffusion systems that is the focus of the thesis. This study will to a large extent simulate stochastic systems using numerical computations and in order to be computationally feasible a compartment-based model will be used. Noise is an inherent part of such systems, so the study will also discuss the effects of noise and morphogen kinetics on different geometries with boundaries of different complexities from one-dimensional cases up to three-dimensions.
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Farzaneh, Ali. "Computational morphogenesis of city tissues." Thesis, Open University, 2017. http://oro.open.ac.uk/49302/.

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Scientific discoveries of the 20th century had a profound impact not only on the study of the natural sciences but disciplines worldwide. The studies were rooted in understanding the complex process of organisation, development and evolution in natural systems before attempting to emulate the behaviours in artificial systems, leading to the emergence of new disciplines such as systems theory, complexity science, genetics, developmental and evolutionary biology. The discoveries had a profound impact in understanding the nature of cities as they develop over time. Once considered top-down models in equilibrium, the dynamic qualities of cities could be explained through the study of dynamic complex systems, exhibiting non-deterministic characteristics that over time emerge as organised structures. These characteristics are not exclusive to cities alone; they are inherent to all complex systems. The understanding of cities as complex systems has stimulated a body of research through mathematical and scientific modelling in understanding the behaviour of cities over time. The studies have been strongly focused on the analytical performance of city morphologies and less on the relational qualities of how systems interact to produce functioning spatial configurations. With the rapid rate of urbanisation and the emergence of new cities around the world, the approach to the design of cities remains rooted in static, top-down models. The implications of such models have led to high energy consumption, lack of integration and poor performance. It is a contradiction to consider cities as complex systems but design them as simple systems. The thesis explores principles of complex systems through the study of biological morphogenesis (the formation and development of organisms over time) for their implementation in formalising a design model for the formation, development and evolution of cities. The central contribution of the thesis lies in the computational modelling of cities in three main areas. The first is the co-evolution of networks and block systems towards the generation of differentiated spatial morphologies. Network systems are generated by coupling multi-agent systems and branching systems from the mathematics of natural systems, and the block systems are generated through procedural subdivision and volumetric modelling. The process involves substantial computational coding and the integration of knowledge from outside disciplines including biology, genetics, complexity theory and mathematics. The second is the development of a unified computational model combining morphological, topological and analytical modelling. The integration of the models is contingent on the writing of classes including graph theory, centrality measures and environmental calculations - all classes were written in C#. The third area is the evolutionary modelling of urban systems. The process utilised the open-source evolutionary solver Octopus in evolving solutions. The advantage lay in the populace-based nature of the model in generating differentiated phenotypes - or geometries - as a response to multiple-objectives. The model has been designed to enable the integration of systems of different types. Analytical data can be used as input to influence the model on the types of decisions it can make. The model has also been designed to enable the exploration of multiple design objectives at varying spatial and time scales. A significant part of the design model takes advantage of open source software including the open source language C#. The software have been extensively modified by hard coding. The model is mutable so that others may add new classes and procedures in the future.
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Bhattacharyya, Arnab. "Modelling morphogenesis as an amorphous computation." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/36794.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.
Includes bibliographical references (leaves 57-58).
This thesis presents a programming-language viewpoint for morphogenesis, the process of shape formation during embryological development. We model morphogenesis as a self-organizing, self-repairing amorphous computation and describe how we can program large-scale shape formation by giving local instructions to cell-like objects. Our goal is to simulate systems that display properties, like robustness, regeneration, and evolvability, that are present in biological systems but ordinarily not present in computer systems. Consistent with the theory of facilitated variation from evolutionary biology, we find that many of these properties can be introduced and conserved by a hierarchical organization of growth specification.
by Arnab Bhattacharyya.
M.Eng.
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Okuda, Satoru. "Multicellular Biomechanical Simulation of Tissue Morphogenesis." 京都大学 (Kyoto University), 2013. http://hdl.handle.net/2433/174923.

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Kyoto University (京都大学)
0048
新制・課程博士
博士(工学)
甲第17557号
工博第3716号
新制||工||1566(附属図書館)
30323
京都大学大学院工学研究科マイクロエンジニアリング専攻
(主査)教授 安達 泰治, 教授 楠見 明弘, 准教授 井上 康博, 教授 琵琶 志朗
学位規則第4条第1項該当
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Lee, Justin Alexander. "Morphogenetic evolvable hardware." Thesis, Queensland University of Technology, 2006. https://eprints.qut.edu.au/16231/1/Justin_Lee_Thesis.pdf.

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Evolvable hardware (EHW) uses simulated evolution to generate an electronic circuit with specific characteristics, and is generally implemented on Field Programmable Gate Arrays (FPGAs). EHW has proven to be successful at producing small novel circuits for applications such as robot control and image processing, however, traditional approaches, in which the FPGA configuration is directly encoded on the chromosome, have not scaled well with increases in problem and FPGA architecture complexity. One of the methods proposed to overcome this is the incorporation of a growth process, known as morphogenesis, into the evolutionary process. However, existing approaches have tended to abstract away the underlying architectural details, either to present a simpler virtual FPGA architecture, or a biochemical model that hides the relationship between the cellular state and the underlying hardware. By abstracting away the underlying architectural details, EHW has moved away from one of its key strengths, that being to allow evolution to discover novel solutions free of designer bias. Also, by separating the biological model from the target FPGA architecture, too many assumptions and arbitrary decisions need to be made, which are liable to lead to the growth process failing to produce the desired results. In this thesis a new approach to applying morphogenesis to gate-level FPGA- based EHW is presented, whereby circuit growth is closely tied to the underlying gate-level architecture, with circuit growth being driven largely by the state of gate-level resources of the FPGA. An investigation into the applicability of biological processes, structures and mechanisms to morphogenetic EHW (MGEHW) is conducted, and the resulting design elaborated. The developed MGEHW system is applied to solving a signal routing problem with irregular and severe constraints on routing resources. It is shown that the morphogenetic approach outperforms a traditional EHW approach using a direct encoding, and importantly, is able to scale to larger, more complex, signal routing problems without any significant increase in the number of generations required to find an optimal solution. With the success of the MGEHW system in solving primarily structural prob- lems, it is then applied to solving a combinatorial function problem, specifically a one-bit full adder, with a more complete set of FPGA resources. The results of these experiments, together with the previous experiments, has provided valuable information that when analysed has enabled the identification of the critical factors that determine the likelihood of an EHW problem being solvable. In particular this has highlighted the importance of effective fitness feedback for guiding evolution towards its desired goal. Results indicate that the gate-level morphogenetic approach is promising. The research presented here is far from complete; many avenues for future research have opened. The MGEHW system that has been developed allows further research in this area to be explored experimentally. Some of the most fruitful directions for future research are described.
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7

Lee, Justin Alexander. "Morphogenetic evolvable hardware." Queensland University of Technology, 2006. http://eprints.qut.edu.au/16231/.

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Анотація:
Evolvable hardware (EHW) uses simulated evolution to generate an electronic circuit with specific characteristics, and is generally implemented on Field Programmable Gate Arrays (FPGAs). EHW has proven to be successful at producing small novel circuits for applications such as robot control and image processing, however, traditional approaches, in which the FPGA configuration is directly encoded on the chromosome, have not scaled well with increases in problem and FPGA architecture complexity. One of the methods proposed to overcome this is the incorporation of a growth process, known as morphogenesis, into the evolutionary process. However, existing approaches have tended to abstract away the underlying architectural details, either to present a simpler virtual FPGA architecture, or a biochemical model that hides the relationship between the cellular state and the underlying hardware. By abstracting away the underlying architectural details, EHW has moved away from one of its key strengths, that being to allow evolution to discover novel solutions free of designer bias. Also, by separating the biological model from the target FPGA architecture, too many assumptions and arbitrary decisions need to be made, which are liable to lead to the growth process failing to produce the desired results. In this thesis a new approach to applying morphogenesis to gate-level FPGA- based EHW is presented, whereby circuit growth is closely tied to the underlying gate-level architecture, with circuit growth being driven largely by the state of gate-level resources of the FPGA. An investigation into the applicability of biological processes, structures and mechanisms to morphogenetic EHW (MGEHW) is conducted, and the resulting design elaborated. The developed MGEHW system is applied to solving a signal routing problem with irregular and severe constraints on routing resources. It is shown that the morphogenetic approach outperforms a traditional EHW approach using a direct encoding, and importantly, is able to scale to larger, more complex, signal routing problems without any significant increase in the number of generations required to find an optimal solution. With the success of the MGEHW system in solving primarily structural prob- lems, it is then applied to solving a combinatorial function problem, specifically a one-bit full adder, with a more complete set of FPGA resources. The results of these experiments, together with the previous experiments, has provided valuable information that when analysed has enabled the identification of the critical factors that determine the likelihood of an EHW problem being solvable. In particular this has highlighted the importance of effective fitness feedback for guiding evolution towards its desired goal. Results indicate that the gate-level morphogenetic approach is promising. The research presented here is far from complete; many avenues for future research have opened. The MGEHW system that has been developed allows further research in this area to be explored experimentally. Some of the most fruitful directions for future research are described.
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8

Raja, Sahdia Tabassum. "Integrating practical and computational approaches to understand morphogenesis of the vertebrate limb." Thesis, University of Edinburgh, 2007. http://hdl.handle.net/1842/30666.

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Optimisation of the experimental technique (BrdU-IddU double-staining) and development of new computational tools have allowed, for the first time, a comprehensive spatio-temporal map of quantitative cell cycle times in the early vertebrate limb. A key question of limb morphogenesis is how genes create the digit pattern. An example of such a gene is Sox9, which is an early marker of chondrogenesis and is, therefore, assumed to follow a pattern similar to early stages of digit patterning. Classical chondrogenic experiments, suggest digital regions are patterned by the intermediate formation of a “digital arch” from which the digits arise in a posterior to anterior order. In contrast, a through analysis of a large number of Sox9 in situs revealed digital regions 1, 2 and 3 branch from a region reminiscent of the tibia (anterior zeugopod) and digital regions 4 and 5 branch from a fibula-like region (posterior zeugopod). Moreover, the Sox9 pattern first arises in digital regions 2, 3 and 4, followed by digital regions 5 and 1. The Sox9 in situ analysis was achieved using newly developed software for the 3D analysis of optical projection tomographic (OPT) images at a very high spatial resolution. These studies have highlighted the importance of integrating practical and computational tools in order to close the gaps in our knowledge and understanding of limb development, and developmental processes as a whole. The computational tools generated for the proliferation studies are valuable in offering a thorough means of analysis of cell cycle times and the new OPT software will be invaluable for the study of both weak and strong gene expression patterns in whole embryos. In the future, the proliferation data and 3D Sox9 in situ data can be incorporated into simulation software, the results of which should shed light upon the interactive effects of different factors upon the process of limb morphogenesis.
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9

Ghaffarizadeh, Ahmadreza. "COMPUTATIONAL MODELS OF INTRACELLULAR AND INTERCELLULAR PROCESSES IN DEVELOPMENTAL BIOLOGY." DigitalCommons@USU, 2014. https://digitalcommons.usu.edu/etd/3103.

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Systems biology takes a holistic approach to biological questions as it applies mathematical modeling to link and understand the interaction of components in complex biological systems. Multiscale modeling is the only method that can fully accomplish this aim. Mutliscale models consider processes at different levels that are coupled within the modeling framework. A first requirement in creating such models is a clear understanding of processes that operate at each level. This research focuses on modeling aspects of biological development as a complex process that occurs at many scales. Two of these scales were considered in this work: cellular differentiation, the process of in which less specialized cells acquired specialized properties of mature cell types, and morphogenesis, the process in which an organism develops its shape and tissue architecture. In development, cellular differentiation typically is required for morphogenesis. Therefore, cellular differentiation is at a lower scale than morphogenesis in the overall process of development. In this work, cellular differentiation and morphogenesis were modeled in a variety of biological contexts, with the ultimate goal of linking these different scales of developmental events into a unified model of development. Three aspects of cellular differentiation were investigated, all united by the theme of how the dynamics of gene regulatory networks (GRNs) control differentiation. Two of the projects of this dissertation studied the effect of noise and robustness in switching between cell types during differentiation, and a third deals with the evaluation of hypothetical GRNs that allow the differentiation of specific cell types. All these projects view cell types as highdimensional attractors in the GRNs and use random Boolean networks as the modeling framework for studying network dynamics. Morphogenesis was studied using the emergence of three-dimensional structures in biofilms as a relatively simple model. Many strains of bacteria form complex structures during growth as colonies on a solid medium. The morphogenesis of these structures was modeled using an agent-based framework and the outcomes were validated using structures of biofilm colonies reported in the literature.
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10

Dasari, Saaranya Kumar. "Computational morphogenesis of spatial structures by structural optimization using finite element method and a genetic algorithm." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

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This thesis focuses on computational design techniques that incorporate structural considerations in the early stages of the architectural design process. Since structural behavior is most affected by geometric form and problems are mainly associated with the complexity of their design process in the early conceptual design. This research conceptual structure is based on complex interactions between architectural forms and the functionality of the design. Starting from the complex problems that arise from non-standard architecture, free form, and other specific constructive aspects. This highlights the most important consequences of free form and the complexity of design evolution and uses them to develop a typology of design complexity and explores the contribution of how computational technologies and design strategies enable us to address complexity with the help of advancements. For a better understanding of computational complexity and mechanisms that take part in conceptual design processing, and a thorough search for structural efficiency to solve a more complex issue than reality and achieve an original solution through direct search method of optimization using mathematic–mechanical modeling operations with the aid of computer models/simulations. These models address how complex systems are formed, how they evolve, and how they can break down. The interdisciplinary scientific approach is concerned with theoretical studies of real-world engineering design to understand the relationship between architectures (topologies) and dynamics and to evaluate structural systems with physical and geometrical nonlinearities with which to explain how the concept of architectonic is continuously transformed within contingent, complex, and dynamic structural design practices as buildings materialize.
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Книги з теми "Computational morphogenesi"

1

Sasaki, Mutsurō. Morphogenesis of flux structure. London: AA Publications, 2007.

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2

Misha, Gromov, Harel-Bellan Annick, Morozova Nadya, Pritchard Linda Louise, and SpringerLink (Online service), eds. Pattern Formation in Morphogenesis: Problems and Mathematical Issues. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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3

Doursat, René. Morphogenetic Engineering: Toward Programmable Complex Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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4

Michel, Olivier, Hiroki Sayama, and René Doursat. Morphogenetic engineering: Toward programmable complex systems. Heidelberg: Springer, 2013.

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5

T, Sekimura, ed. Morphogenesis and pattern formation in biological systems: Experiments and models. Tokyo: Springer, 2003.

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6

T, Sekimura, ed. Morphogenesis and pattern formation in biological systems: Experiments and models. Tokyo: Springer, 2003.

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7

name, No. Morphogenesis and pattern formation in biological systems: Experiments and models. Tokyo: Springer Verlag, 2003.

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8

Morphogenesis of bird beaks: A computational approach. 2010.

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9

Piotrowski, David. Morphogenesis of the Sign. Springer, 2019.

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10

Piotrowski, David. Morphogenesis of the Sign. Springer, 2018.

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Частини книг з теми "Computational morphogenesi"

1

von Mammen, Sebastian, David Phillips, Timothy Davison, Heather Jamniczky, Benedikt Hallgrímsson, and Christian Jacob. "Swarm-Based Computational Development." In Morphogenetic Engineering, 473–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33902-8_18.

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2

Montagna, Sara, and Mirko Viroli. "A Computational Framework for Multilevel Morphologies." In Morphogenetic Engineering, 383–405. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33902-8_15.

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3

Ko, Jason M., Reza Mousavi, and Daniel Lobo. "Computational Systems Biology of Morphogenesis." In Methods in Molecular Biology, 343–65. New York, NY: Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-1831-8_14.

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4

Celli, Fabio. "Computational Approaches to the Analysis of Human Creativity." In Lecture Notes in Morphogenesis, 187–95. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-24403-7_12.

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Galofaro, Francesco. "Structural Syntax and Quantum Computation: A Simondonian Approach." In Morphogenesis and Individuation, 173–201. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05101-7_9.

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6

Knabe, Johannes F. "Development and Morphogenesis." In Computational Genetic Regulatory Networks: Evolvable, Self-organizing Systems, 83–100. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-30296-1_6.

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Brémond, R., and D. Jeulin. "Morphogenesis Simulations with Lattice Gas." In Computational Imaging and Vision, 297–304. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-1040-2_38.

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8

Gervás, Pablo, and Carlos León. "Integrating Purpose and Revision into a Computational Model of Literary Generation." In Lecture Notes in Morphogenesis, 105–21. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-24403-7_7.

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9

Linz, Stefan J., Martin Raible, and Peter Hänggi. "Morphogenesis of Growing Amorphous Films." In Lecture Notes in Computational Science and Engineering, 103–18. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-07969-0_9.

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10

Sosík, Petr, Vladimír Smolka, Jan Drastík, Tyler Moore, and Max Garzon. "Morphogenetic and Homeostatic Self-assembled Systems." In Unconventional Computation and Natural Computation, 144–59. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58187-3_11.

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Тези доповідей конференцій з теми "Computational morphogenesi"

1

Farzaneh, Ali. "Computational Morphogenesis of Architectural Objects." In eCAADe 2012 : Digital Physicality. eCAADe, 2012. http://dx.doi.org/10.52842/conf.ecaade.2012.2.593.

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2

Bhattacharyya, Arnab. "Morphogenesis as an amorphous computation." In the 3rd conference. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1128022.1128032.

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3

MOROZOVA, NADYA, and ROBERT PENNER. "GEOMETRY OF MORPHOGENESIS." In International Symposium on Mathematical and Computational Biology. WORLD SCIENTIFIC, 2015. http://dx.doi.org/10.1142/9789814667944_0022.

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4

Zahadat, Payam, Daniel Nicolas Hofstadler, and Thomas Schmickl. "Vascular morphogenesis controller." In GECCO '17: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3071178.3071247.

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Zhang, Yuyu, Heng Chi, Binghong Chen, Tsz Ling Elaine Tang, Lucia Mirabella, Le Song, and Glaucio H. Paulino. "Speeding up Computational Morphogenesis with Online Neural Synthetic Gradients." In 2021 International Joint Conference on Neural Networks (IJCNN). IEEE, 2021. http://dx.doi.org/10.1109/ijcnn52387.2021.9533789.

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6

Menon, Prahlad G., William Kowalski, and Kerem Pekkan. "Computational Fluid Dynamics Analysis of Early Embryonic Aortic Arch-Ligation." In ASME 2013 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/sbc2013-14470.

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Congenital heart disease occurs in 8 out of every 1000 live births in the US and more than half of this population is associated with great artery lesions. Selective remodeling of the paired, bilaterally symmetric embryonic aortic arches (AA) is a crucial stage in vascular morphogenesis and has known association with biomechanical forces [1]. Fetal cardiac interventions are currently explored clinically as an alternative repair technique for congenital anomalies, in-utero [2]. Several computational fluid dynamics (CFD) studies have been performed focusing on subject specific embryonic cardiovascular anatomies [3–5]. These developments could benefit fetal interventions that are planned in-silico before execution. To demonstrate this possibility, we computed the hemodynamic variation and wall shear stress (WSS) patterns resulting from systematic in-silico AA ligation intervention performed on normal chick AA models viz. Hamburger Hamilton (HH) stage 18 and 24 (3 and 4 days, respectively). A unique methodology employing CFD-computed WSS for modeling short-term biological growth response on AA morphogenesis is also presented.
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7

"KINETIC MORPHOGENESIS OF A MULTILAYER PERCEPTRON." In International Conference on Neural Computation Theory and Applications. SciTePress - Science and and Technology Publications, 2011. http://dx.doi.org/10.5220/0003642800990105.

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Braga, Andre Luiz, Ronaldo Ribeiro Goldschmidt, and Paulo Fernando Ferreira Rosa. "Morphogenesis-Based Multidimensional Shape Formation of Swarms." In 2018 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2018. http://dx.doi.org/10.1109/cec.2018.8477838.

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Dhulekar, Nimit, Lauren Bange, Abiurami Baskaran, Daniel Yuan, Basak Oztan, Bulent Yener, Shayoni Ray, and Melinda Larsen. "A novel dynamic graph-based computational model for predicting salivary gland branching morphogenesis." In 2012 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2012. http://dx.doi.org/10.1109/bibm.2012.6392680.

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Bozzini, Benedetto, Deborah Lacitignola, Ivonne Sgura, Theodore E. Simos, and George Maroulis. "Turing Instability in an Electrodeposition Morphogenesis Model: An Analytical, Numerical and Experimental Study." In COMPUTATIONAL METHODS IN SCIENCE AND ENGINEERING: Theory and Computation: Old Problems and New Challenges. Lectures Presented at the International Conference on Computational Methods in Science and Engineering 2007 (ICCMSE 2007): VOLUME 1. AIP, 2007. http://dx.doi.org/10.1063/1.2836113.

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