Search results for 'Cellular' (try it on Scholar)

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  1. Attila Grandpierre (2013). The Origin of Cellular Life and Biosemiotics. Biosemiotics (3):1-15.
    Recent successes of systems biology clarified that biological functionality is multilevel. We point out that this fact makes it necessary to revise popular views about macromolecular functions and distinguish between local, physico-chemical and global, biological functions. Our analysis shows that physico-chemical functions are merely tools of biological functionality. This result sheds new light on the origin of cellular life, indicating that in evolutionary history, assignment of biological functions to cellular ingredients plays a crucial role. In this wider picture, (...)
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  2.  84
    Francisco José Soler Gil & Manuel Alfonseca (2013). Fine Tuning Explained? Multiverses and Cellular Automata. Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 44 (1):153-172.
    The objective of this paper is analyzing to which extent the multiverse hypothesis provides a real explanation of the peculiarities of the laws and constants in our universe. First we argue in favor of the thesis that all multiverses except Tegmark’s “mathematical multiverse” are too small to explain the fine tuning, so that they merely shift the problem up one level. But the “mathematical multiverse" is surely too large. To prove this assessment, we have performed a number of experiments with (...)
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  3.  5
    Alessandro Bisio, Giacomo Mauro D’Ariano, Paolo Perinotti & Alessandro Tosini (2015). Weyl, Dirac and Maxwell Quantum Cellular Automata. Foundations of Physics 45 (10):1203-1221.
    Recent advances on quantum foundations achieved the derivation of free quantum field theory from general principles, without referring to mechanical notions and relativistic invariance. From the aforementioned principles a quantum cellular automata theory follows, whose relativistic limit of small wave-vector provides the free dynamics of quantum field theory. The QCA theory can be regarded as an extended quantum field theory that describes in a unified way all scales ranging from an hypothetical discrete Planck scale up to the usual Fermi (...)
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  4.  27
    Gerard ’T. Hooft (2013). Duality Between a Deterministic Cellular Automaton and a Bosonic Quantum Field Theory in 1+1 Dimensions. Foundations of Physics 43 (5):597-614.
    Methods developed in a previous paper are employed to define an exact correspondence between the states of a deterministic cellular automaton in 1+1 dimensions and those of a bosonic quantum field theory. The result may be used to argue that quantum field theories may be much closer related to deterministic automata than what is usually thought possible.
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  5.  8
    Stefano Cavagnetto (2009). Some Applications of Propositional Logic to Cellular Automata. Mathematical Logic Quarterly 55 (6):605-616.
    In this paper we give a new proof of Richardson's theorem [31]: a global function G[MATHEMATICAL DOUBLE-STRUCK CAPITAL A] of a cellular automaton [MATHEMATICAL DOUBLE-STRUCK CAPITAL A] is injective if and only if the inverse of G[MATHEMATICAL DOUBLE-STRUCK CAPITAL A] is a global function of a cellular automaton. Moreover, we show a way how to construct the inverse cellular automaton using the method of feasible interpolation from [20]. We also solve two problems regarding complexity of cellular (...)
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  6.  7
    Andrew Wuensche (1999). Classifying Cellular Automata Automatically: Finding Gliders, Filtering, and Relating Space-Time Patterns, Attractor Basins, and theZ Parameter. Complexity 4 (3):47-66.
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  7.  7
    Alessandro Bisio, Giacomo Mauro D’Ariano, Paolo Perinotti & Alessandro Tosini (2015). Free Quantum Field Theory From Quantum Cellular Automata. Foundations of Physics 45 (10):1137-1152.
    After leading to a new axiomatic derivation of quantum theory, the new informational paradigm is entering the domain of quantum field theory, suggesting a quantum automata framework that can be regarded as an extension of quantum field theory to including an hypothetical Planck scale, and with the usual quantum field theory recovered in the relativistic limit of small wave-vectors. Being derived from simple principles, the automata theory is quantum ab-initio, and does not assume Lorentz covariance and mechanical notions. Being discrete (...)
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  8.  5
    Ioannis D. Katerelos & Andreas G. Koulouris (2004). Is Prediction Possible? Chaotic Behavior of Multiple Equilibria Regulation Model in Cellular Automata Topology. Complexity 10 (1):23-36.
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  9.  8
    Jürgen Klüver & Jörn Schmidt (1999). Control Parameters in Boolean Networks and Cellular Automata Revisited From a Logical and a Sociological Point of View. Complexity 5 (1):45-52.
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  10.  7
    Chris Salzberg & Hiroki Sayama (2004). Complex Genetic Evolution of Artificial Self-Replicators in Cellular Automata. Complexity 10 (2):33-39.
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  11.  11
    Genaro J. Martínez, Andrew Adamatzky, Juan C. Seck‐Tuoh‐Mora & Ramon Alonso‐Sanz (2010). How to Make Dull Cellular Automata Complex by Adding Memory: Rule 126 Case Study. Complexity 15 (6):34-49.
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  12.  8
    Gina Maira Barbosa de Oliveira, Pedro P. B. de Oliveira & Nizam Omar (2000). Guidelines for Dynamics‐Based Parameterization of One‐Dimensional Cellular Automata Rule Spaces. Complexity 6 (2):63-71.
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  13.  8
    Ramón Alonso-Sanz (forthcoming). Reversible Cellular Automata with Memory of Delay Type. Complexity:n/a-n/a.
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  14.  5
    Eduardo Mizraji (2004). The Emergence of Dynamical Complexity: An Exploration Using Elementary Cellular Automata. Complexity 9 (6):33-42.
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  15.  2
    Ioan Sturzu & Mahfuza Khatun (2005). Quantum Calculation of Thermal Effect in Quantum‐Dot Cellular Automata. Complexity 10 (4):73-78.
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  16.  4
    Richard R. Brooks, Christopher Griffin & T. Alan Payne (2004). A Cellular Automata Model Can Quickly Approximate UDP and TCP Network Traffic. Complexity 9 (3):32-40.
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  17.  3
    Eleonora Bilotta & Pietro Pantano (2006). Structural and Functional Growth in Self‐Reproducing Cellular Automata. Complexity 11 (6):12-29.
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  18.  3
    Ben Wang, Peng Liu & Ruikang Tang (2010). Cellular Shellization: Surface Engineering Gives Cells an Exterior. Bioessays 32 (8):698-708.
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  19.  3
    Christopher J. Hazard, Kyle R. Kimport & David H. Johnson (2005). Emergent Behavior in Two Complex Cellular Automata Rule Sets. Complexity 10 (5):45-55.
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  20. Simon Y. Berkovich (1986). Mutual Synchronization in a Network of Digital Clocks as the Key Cellular Automation Mechanism of Nature: Computational Model of Fundamental Physics. Synopsis.
     
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  21. John Bickle (2006). Reducing Mind to Molecular Pathways: Explicating the Reductionism Implicit in Current Cellular and Molecular Neuroscience. [REVIEW] Synthese 151 (3):411-434.
    As opposed to the dismissive attitude toward reductionism that is popular in current philosophy of mind, a “ruthless reductionism” is alive and thriving in “molecular and cellular cognition”—a field of research within cellular and molecular neuroscience, the current mainstream of the discipline. Basic experimental practices and emerging results from this field imply that two common assertions by philosophers and cognitive scientists are false: (1) that we do not know much about how the brain works, and (2) that lower-level (...)
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  22.  24
    Contzen Pereira (2015). Biophysical Understanding of Resonance at a Cellular Level. Journal of Metaphysics and Connected Consciousness 1.
    Consciousness has always been linked to the nervous system or rather the brain, but there recorded conscious behaviors in organisms without nerve cells have changed the perspective of consciousness. A living cell is a blend of resonant frequencies, due to degrees of freedom that make it vibrate as a harmonic oscillator supporting the progression of vibrations as waves in and out of the system; to the neighboring cells, to the body, to other bodies and ultimately to the Universe; all of (...)
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  23.  74
    Francesco Berto & Jacopo Tagliabue (2012). Cellular Automata. Stanford Encyclopedia of Philosophy.
    Cellular automata (henceforth: CA) are discrete, abstract computational systems that have proved useful both as general models of complexity and as more specific representations of non-linear dynamics in a variety of scientific fields. Firstly, CA are (typically) spatially and temporally discrete: they are composed of a finite or denumerable set of homogeneous, simple units, the atoms or cells. At each time unit, the cells instantiate one of a finite set of states. They evolve in parallel at discrete time steps, (...)
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  24.  19
    Contzen Pereira (2015). The Cosmic Energy Bridge, Cellular Quantum Consciousness and its Connections. Journal of Metaphysics and Connected Consciousness 2.
    A conscious moment occurs when an individual is in a state of awareness of one’s self and the external environment. The human brain has been extensively studied to understand the phenomena of human thought and behavior in the context of consciousness. Consciousness has always been linked to the nervous system but there are several studies that have recorded conscious behaviours in organisms without nerve cells. This paper hypothesizes that quantum energy generated consciousness emerges in each and every living cell and (...)
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  25.  1
    Franco Giorgi, Luis Emilio Bruni & Roberto Maggio (2010). Receptor Oligomerization as a Process Modulating Cellular Semiotics. Biosemiotics 3 (2):157-176.
    The majority of G protein-coupled receptors (GPCRs) self-assemble in the form dimeric/oligomeric complexes along the plasma membrane. Due to the molecular interactions they participate, GPCRs can potentially provide the framework for discriminating a wide variety of intercellular signals, as based on some kind of combinatorial receptor codes. GPCRs can in fact transduce signals from the external milieu by modifying the activity of such intracellular proteins as adenylyl cyclases, phospholipases and ion channels via interactions with specific G-proteins. However, in spite of (...)
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  26.  54
    Olaf Breidbach (1996). The Controversy on Stain Technologies — an Experimental Reexamination of the Dispute on the Cellular Nature of the Nervous System Around 1900. History and Philosophy of the Life Sciences 18 (2):195 - 212.
    The controversy of neuroanatomy on the principal structure of the nervous systems, which took place at the end of the nineteenth century, is described. Two groups of scientists are identified: one that favoured the idea of a discrete cellular organization of the nervous tissue, and one that favoured a syncytial organization. These two interpretations arose from different histological techniques that produced conflicting pictures of the organization of the nervous tissue. In an experimental reexamination of the techniques used at the (...)
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  27.  24
    D. Matthiessen (forthcoming). Mechanistic Explanation in Systems Biology: Cellular Networks. British Journal for the Philosophy of Science:axv011.
    It is argued that once biological systems reach a certain level of complexity, mechanistic explanations provide an inadequate account of many relevant phenomena. In this article, I evaluate such claims with respect to a representative programme in systems biological research: the study of regulatory networks within single-celled organisms. I argue that these networks are amenable to mechanistic philosophy without need to appeal to some alternate form of explanation. In particular, I claim that we can understand the mathematical modelling techniques of (...)
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  28.  4
    James A. Shapiro (2006). Genome Informatics: The Role of DNA in Cellular Computations. Biological Theory 1 (3):288-301.
    Cells are cognitive entities possessing great computational power. DNA serves as a multivalent information storage medium for these computations at various time scales. Information is stored in sequences, epigenetic modifications, and rapidly changing nucleoprotein complexes. Because DNA must operate through complexes formed with other molecules in the cell, genome functions are inherently interactive and involve two-way communication with various cellular compartments. Both coding sequences and repetitive sequences contribute to the hierarchical systemic organization of the genome. By virtue of nucleoprotein (...)
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  29. Anouk Barberousse, Sara Franceschelli & Cyrille Imbert, Cellular Automata, Modeling, and Computation.
    Cellular Automata (CA) based simulations are widely used in a great variety of domains, fromstatistical physics to social science. They allow for spectacular displays and numerical predictions. Are they forall that a revolutionary modeling tool, allowing for “direct simulation”, or for the simulation of “the phenomenon itself”? Or are they merely models "of a phenomenological nature rather than of a fundamental one”? How do they compareto other modeling techniques? In order to answer these questions, we present a systematic exploration (...)
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  30.  5
    H. Landecker (2002). New Times for Biology: Nerve Cultures and the Advent of Cellular Life in Vitro. Studies in History and Philosophy of Science Part C 33 (4):667-694.
    This article is about the beginnings of tissue culture-the culture of living, reproducing cells of complex organisms outside the body. It argues that Ross Harrison's experiments in nerve culture between 1907 and 1910 should be viewed as part of a larger shift in early twentieth-century laboratory practice from in vivo to in vitro experimentation. Via a focus on the temporality of experiment-contrasting the live object of Harrison's investigation with the static object of histological representations-this article details the production of a (...)
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  31.  7
    Vyacheslav Kalmykov & Lev Kalmykov (2015). A Solution to the Biodiversity Paradox by Logical Deterministic Cellular Automata. Acta Biotheoretica 63 (2):203-221.
    The paradox of biological diversity is the key problem of theoretical ecology. The paradox consists in the contradiction between the competitive exclusion principle and the observed biodiversity. The principle is important as the basis for ecological theory. On a relatively simple model we show a mechanism of indefinite coexistence of complete competitors which violates the known formulations of the competitive exclusion principle. This mechanism is based on timely recovery of limiting resources and their spatio-temporal allocation between competitors. Because of limitations (...)
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  32.  2
    Michel Morange (1993). The Discovery of Cellular Oncogenes. History and Philosophy of the Life Sciences 15 (1):45 - 58.
    Between 1975 and 1985 a series of experiments demonstrated that cancer, whatever its causative agent, is due to the activation, by modification or overexpression, of a family of genes highly conserved during evolution, called the cellular oncogenes. These genes participate in the control of cell division in every living cell. Their products belong to the regulatory network relaying external signals from the membranes towards the nucleus and allowing cells to adapt their division rate to the demand of the organism. (...)
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  33.  57
    Pete Mandik (2008). Cognitive Cellular Automata. In Complex Biological Systems:. Icfai University Press
    In this paper I explore the question of how artificial life might be used to get a handle on philosophical issues concerning the mind-body problem. I focus on questions concerning what the physical precursors were to the earliest evolved versions of intelligent life. I discuss how cellular automata might constitute an experimental platform for the exploration of such issues, since cellular automata offer a unified framework for the modeling of physical, biological, and psychological processes. I discuss what it (...)
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  34.  14
    A. L. Bardou, R. G. Seigneuric, J.-L. Chassé & P. M. Auger (1999). Incidence of Dispersion of Refractoriness and Cellular Coupling Resistance on Cardiac Reentries and Ventricular Fibrillation. Acta Biotheoretica 47 (3-4):199-207.
    We used computer simulations to study the possible role of the dispersion of cellular coupling, refractoriness or both, in the mechanisms underlying cardiac arrhythmias. Local ischemia was first assumed to induce cell to cell dispersion of the coupling resistance (Case 1), refractory period (Case 2), or both of them (Case 3). Our numerical experiments based on the van Capelle and Durrer model showed that vortices could not be induced by cell to cell variations. With cellular properties dispersed in (...)
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  35.  12
    Andrew Pickering (2014). Islands of Stability: Engaging Emergence from Cellular Automata to the Occupy Movement. Zeitschrift für Medien- Und Kulturforschung 2014 (1):121-134.
    Instead of considering »being with« in terms of non-problematic, machine-like places, where reliable entities assemble in stable relationships, STS conjures up a world where the achievement of chancy stabilisations and synchronisations is local. We have to analyse how and where a certain regularity and predictability in the intersection of scientists and their instruments, say, or of human individuals and groups, is produced. The paper reviews models of emergence drawn from the history of cybernetics—the canonical »black box,« homeostats, and cellular (...)
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  36.  11
    Deng K. Niu, Ming G. Wang & Ya F. Wang (1997). Plant Cellular Osmotica. Acta Biotheoretica 45 (2):161-169.
    To cope with the water deficit resulting from saline environment, plant cells accumulate three kinds of osmotica: salts, small organic solutes and hydrophillic, glycine-rich proteins. Salts such as NaCl are cheap and available but has ion toxicity in high concentrations. Small organic solutes are assistant osmotica, their main function is to protect cytoplasmic enzymes from ionic toxicity and maintain the integrity of cellular membranes. Hydrophillic, glycine-rich proteins are the most effective osmotica, they have some characteristics to avoid crystallization even (...)
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  37.  24
    Wolfgang Merzenich (1980). Cellular Spaces. Theoretical Medicine and Bioethics 1 (1):51-65.
    This paper is an introduction into the theory of cellular spaces. From the more general model of nets of abstract cells which are interpreted by finite automata, it is shown how the model of cellular spaces is achieved by specialization. Cellular spaces are extremely homogeneous in function and in geometry. The relation between local and global behavior is regarded as the main topic of the theory. After a formal definition of cellular spaces, it is shown that (...)
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  38.  17
    Ronald Szymusiak (2005). The Challenge of Identifying Cellular Mechanisms of Memory Formation During Sleep. Behavioral and Brain Sciences 28 (1):84-85.
    Cellular mechanisms hypothesized to underlie sleep-dependent memory consolidation are expressed throughout the brain during sleep. Use of sleep deprivation to evaluate the functional importance of these mechanisms is confounded by degradation in waking performance resulting from impaired vigilance. There is a need for methods that will permit disruption of specific mechanisms during sleep only in the neuronal circuits most critically involved in learning. This should be accomplished without global sleep disruption and with preservation of the restorative aspects of sleep.
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  39.  6
    James C. Houk & Simon Alford (1996). Computational Significance of the Cellular Mechanisms for Synaptic Plasticity in Purkinje Cells. Behavioral and Brain Sciences 19 (3):457-461.
    The data on the cellular mechanism of LTD that is presented in four target articles is synthesized into a new model of Purkinje cell plasticity. This model attempts to address credit assignment problems that are crucial in learning systems. Intracellular signal transduction mechanisms may provide the mechanism for a 3-factor learning rule and a trace mechanism. The latter may permit delayed information about motor error to modify the prior synaptic events that caused the error. This model may help to (...)
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  40.  18
    Philippe Tracqui (1995). From Passive Diffusion to Active Cellular Migration in Mathematical Models of Tumour Invasion. Acta Biotheoretica 43 (4):443-464.
    Mathematical models of tumour invasion appear as interesting tools for connecting the information extracted from medical imaging techniques and the large amount of data collected at the cellular and molecular levels. Most of the recent studies have used stochastic models of cell translocation for the comparison of computer simulations with histological solid tumour sections in order to discriminate and characterise expansive growth and active cell movements during host tissue invasion. This paper describes how a deterministic approach based on reaction-diffusion (...)
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  41.  16
    Dieter Wolf-Gladrow (2010). Lattice-Gas Cellular Automaton Models for Biology: From Fluids to Cells. Acta Biotheoretica 58 (4):329-340.
    Lattice-gas cellular automaton (LGCA) and lattice Boltzmann (LB) models are promising models for studying emergent behaviour of transport and interaction processes in biological systems. In this chapter, we will emphasise the use of LGCA/LB models and the derivation and analysis of LGCA models ranging from the classical example dynamics of fluid flow to clotting phenomena in cerebral aneurysms and the invasion of tumour cells.
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  42.  11
    Roy Douglas Pearson (1982). Amphibian Regeneration and Cellular Heterochrony. Acta Biotheoretica 31 (3):181-184.
    It is posited that the initiating event of amphibian regeneration of a limb, is retrodifferentiation* of what are to become the developing cells of the blastema. These cells reiterate a larval or premetamorphic ontogenic repertoire, induced by elevated levels of prolactin with adequate innervation. Subsequent redifferentiation of the blastema cells occurs, controlled by thyroxine and innervation.This temporal displacement of cellular morphologic characters in regeneration should be looked upon as a function of the ability to reiterate larval characters and subsequently (...)
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  43.  16
    Claude Lobry & Hervé Elmoznino (2000). Combinatorial Properties of Some Cellular Automata Related to the Mosaic Cycle Concept. Acta Biotheoretica 48 (3-4):219-242.
    A cellular automaton that is related to the "mosaic cycle concept" is considered. We explain why such automata sustain very often, but not always, n-periodic trajectories (n being the number of states of the automaton). Our work is a first step in the direction of a theory of these type of automata which might be useful in modeling mosaic successions.
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  44.  9
    Loïc Forest & Jacques Demongeot (2008). A General Formalism for Tissue Morphogenesis Based on Cellular Dynamics and Control System Interactions. Acta Biotheoretica 56 (1):51-74.
    Morphogenesis is a key process in developmental biology. An important issue is the understanding of the generation of shape and cellular organisation in tissues. Despite of their great diversity, morphogenetic processes share common features. This work is an attempt to describe this diversity using the same formalism based on a cellular description. Tissue is seen as a multi-cellular system whose behaviour is the result of all constitutive cells dynamics. Morphogenesis is then considered as a spatiotemporal organization of (...)
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  45.  1
    Michael Piper & Melissa Little (2003). Movement Through Slits: Cellular Migration Via the Slit Family. Bioessays 25 (1):32-38.
    First isolated in the fly and now characterised in vertebrates, the Slit proteins have emerged as pivotal components controlling the guidance of axonal growth cones and the directional migration of neuronal precursors. As well as extensive expression during development of the central nervous system (CNS), the Slit proteins exhibit a striking array of expression sites in non-neuronal tissues, including the urogenital system, limb primordia and developing eye. Zebrafish Slit has been shown to mediate mesodermal migration during gastrulation, while Drosophila slit (...)
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  46. F. Crépel (1996). Cellular Mechanisms of Long-Term Depression: From Consensus to Open Questions. Behavioral and Brain Sciences 19 (3):488-488.
    The target article on cellular mechanisms of long-term depression appears to have been well received by most authors of the relevant commentaries. This may be due to the fact that this review aimed to give a general account of the topic, rather than just describe previous work of the present author. The present response accordingly only raises questions of major interest for future research.
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  47. Kunjumon Vadakkan (2015). A Pressure-Reversible Cellular Mechanism of General Anesthetics Capable of Altering a Possible Mechanism of Consciousness. Springerplus 4:1-17.
    Different anesthetics are known to modulate different types of membrane-bound receptors. Their common mechanism of action is expected to alter the mechanism for consciousness. Consciousness is hypothesized as the integral of all the units of internal sensations induced by reactivation of inter-postsynaptic membrane functional LINKs during mechanisms that lead to oscillating potentials. The thermodynamics of the spontaneous lateral curvature of lipid membranes induced by lipophilic anesthetics can lead to the formation of non-specific inter-postsynaptic membrane functional LINKs by different mechanisms. These (...)
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  48.  3
    Hannah Landecker (2005). Cellular Features: Microcinematography and Film Theory. Critical Inquiry 31 (4):903-937.
  49.  3
    Arcadi Cipponi & David M. Thomas (2014). Stress-Induced Cellular Adaptive Strategies: Ancient Evolutionarily Conserved Programs as New Anticancer Therapeutic Targets. Bioessays 36 (6):552-560.
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  50.  4
    Dave Speijer (2011). Does Constructive Neutral Evolution Play an Important Role in the Origin of Cellular Complexity? Bioessays 33 (5):344-349.
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