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Application of Nonlinear Analysis to the Study of Complex Systems in Neuroscience and Behavioral Research

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Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889199969 Year: Pages: 271 DOI: 10.3389/978-2-88919-996-9 Language: English
Publisher: Frontiers Media SA
Subject: Neurology --- Science (General)
Added to DOAB on : 2016-01-19 14:05:46
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Although nonlinear dynamics have been mastered by physicists and mathematicians for a long time (as most physical systems are inherently nonlinear in nature), the recent successful application of nonlinear methods to modeling and predicting several evolutionary, ecological, physiological, and biochemical processes has generated great interest and enthusiasm among researchers in computational neuroscience and cognitive psychology. Additionally, in the last years it has been demonstrated that nonlinear analysis can be successfully used to model not only basic cellular and molecular data but also complex cognitive processes and behavioral interactions. The theoretical features of nonlinear systems (such unstable periodic orbits, period-doubling bifurcations and phase space dynamics) have already been successfully applied by several research groups to analyze the behavior of a variety of neuronal and cognitive processes. Additionally the concept of strange attractors has lead to a new understanding of information processing which considers higher cognitive functions (such as language, attention, memory and decision making) as complex systems emerging from the dynamic interaction between parallel streams of information flowing between highly interconnected neuronal clusters organized in a widely distributed circuit and modulated by key central nodes. Furthermore, the paradigm of self-organization derived from the nonlinear dynamics theory has offered an interesting account of the phenomenon of emergence of new complex cognitive structures from random and non-deterministic patterns, similarly to what has been previously observed in nonlinear studies of fluid dynamics. Finally, the challenges of coupling massive amount of data related to brain function generated from new research fields in experimental neuroscience (such as magnetoencephalography, optogenetics and single-cell intra-operative recordings of neuronal activity) have generated the necessity of new research strategies which incorporate complex pattern analysis as an important feature of their algorithms. Up to now nonlinear dynamics has already been successfully employed to model both basic single and multiple neurons activity (such as single-cell firing patterns, neural networks synchronization, autonomic activity, electroencephalographic measurements, and noise modulation in the cerebellum), as well as higher cognitive functions and complex psychiatric disorders. Similarly, previous experimental studies have suggested that several cognitive functions can be successfully modeled with basis on the transient activity of large-scale brain networks in the presence of noise. Such studies have demonstrated that it is possible to represent typical decision-making paradigms of neuroeconomics by dynamic models governed by ordinary differential equations with a finite number of possibilities at the decision points and basic heuristic rules which incorporate variable degrees of uncertainty. This e-book has include frontline research in computational neuroscience and cognitive psychology involving applications of nonlinear analysis, especially regarding the representation and modeling of complex neural and cognitive systems. Several experts teams around the world have provided frontline theoretical and experimental contributions (as well as reviews, perspectives and commentaries) in the fields of nonlinear modeling of cognitive systems, chaotic dynamics in computational neuroscience, fractal analysis of biological brain data, nonlinear dynamics in neural networks research, nonlinear and fuzzy logics in complex neural systems, nonlinear analysis of psychiatric disorders and dynamic modeling of sensorimotor coordination.

Welfare of Cultured and Experimental Fishes

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ISBN: 9783039217106 / 9783039217113 Year: Pages: 132 DOI: 10.3390/books978-3-03921-711-3 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Biology --- Animal Sciences
Added to DOAB on : 2019-12-09 11:49:16
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Welfare is a multidimensional concept that can be described as the state of an animal as it copes with the environment. Captive environments can impact farmed animals at different levels, especially fishes, considering their highly complex sensory world. Understanding the ethology of a species is therefore essential to address fish welfare, and the interpretation of behavioral responses in specific rearing contexts (aquaculture or experimental contexts) demands knowledge of their underlying physiological, developmental, functional, and evolutionary mechanisms. In natural environments, the stress response has evolved to help animals survive challenging conditions. However, animals are adapted to deal with natural stressors, while anthropogenic stimuli may represent stressors that fishes are unable to cope with. Under such circumstances, stress responses may be maladaptive and cause severe damage to the animal. As welfare in captivity is affected in multiple dimensions, multiple possible indicators can be used to assess the welfare state of individuals. In the past, research on welfare has been largely focusing on health indicators and predominantly based on physiological stress. Ethological indicators, however, also integrate the mental perspective of the individual and have been gradually assuming an important role in welfare research: behavioral responses to stressors are an early response to adverse conditions, easily observable, and demonstrative of emotional states. Many behavioral indicators can be used as non-invasive measurements of welfare in practical contexts such as aquaculture and experimentation. Presently, research in fish welfare is growing in importance and interest because of the growing economic importance of fish farming, the comparative biology opportunities that experimental fishes provide, and the increasing public sensitivity to welfare issues.

Advancements in Gel Science—A Special Issue in Memory of Toyoichi Tanaka

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ISBN: 9783039213436 / 9783039213443 Year: Pages: 178 DOI: 10.3390/books978-3-03921-344-3 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- Chemical Technology
Added to DOAB on : 2019-12-09 11:49:15
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A gel is a state of matter that consists of a three-dimensional cross-linked polymer network and a large amount of solvent. Because of their structural characteristics, gels play important roles in science and technology. The science of gels has attracted much attention since the discovery of the volume phase transition by Professor Toyoichi Tanala at MIT in 1978. MDPI planned to publish a Special Issue in Gels to celebrate the 40th anniversary of this discovery, which received submissions of 13 original papers and one review from various areas of science. We believe that readers will find this Special Issue informative as to the recent advancements of gel research and the broad background of gel science.

Keywords

gel --- thermoresponsive property --- monomer sequence --- co-crosslinking --- copolymerization --- acrylamide derivative --- swelling --- volume phase transition --- agarose gel --- compression --- solvent transport --- sucrose --- xylitol --- volume phase transition --- effects of electric charge --- swelling of thermosensitive gels --- sol-gel transition --- site-bond correlated-percolation model for polymer gelation --- gelation temperature --- cloud point temperature --- spinodal temperature --- spinodal decomposition --- janus particle --- anisotropic shape --- phase separation --- wetting --- micrometric confinement --- micropipette aspiration --- PVA gel --- gamma ray sterilization --- artificial hydrogel cartilage --- frictional property --- wear --- xerogel --- Brunauer-Emmett-Teller theory --- Barrett-Joyner-Halenda analysis --- temperature --- solids content --- drying --- solvent exchange --- microgel --- electrophoresis --- light scattering --- paint coating --- wrinkle --- swelling --- buckling --- Sephadex® (crosslinked dextran) --- crosslink density (density of crosslinks) --- ice grain --- ice crystallization during rewarming --- glassy water --- X-ray CT --- XRD --- poly(vinyl alcohol) --- chemical gel --- microcrystallite --- hydrogen bond --- swelling behavior --- hysteresis --- hydrogel --- friction --- fatigue --- wear --- fracture --- crack --- adhesion --- delamination --- poly (acryl amide) gel --- time domain reflectometry (TDR) of dielectric spectroscopy --- pulse field gradient spin echo method of nuclear magnetic resonance (PFG-NMR) --- scaling analysis --- fractal analysis --- heterogeneous gelation dynamics --- moving boundary picture --- phase transition dynamics --- kinetic coefficient --- blood coagulation --- n/a

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