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Biocybernetics
Biocybernetics is the application of cybernetics to biological science disciplines such as neurology and multicellular systems. Biocybernetics plays a major role in systems biology, seeking to integrate different levels of information to understand how biological systems function. The field of cybernetics itself has origins in biological disciplines such as neurophysiology. Biocybernetics is an abstract science and is a fundamental part of theoretical biology, based upon the principles of systemics. Biocybernetics is a psychological study that aims to understand how the human body functions as a biological system and performs complex mental functions like thought processing, motion, and maintaining homeostasis. Within this field, many distinct qualities allow for different distinctions within the cybernetic groups such as humans and insects such as beehives and ants. Humans work together but they also have individual thoughts that allow them to act on their own, while worker bees ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Medical Cybernetics
Medical cybernetics is a branch of cybernetics which has been heavily affected by the development of the computer, which applies the concepts of cybernetics to medical research and practice. At the intersection of systems biology, systems medicine and clinical applications it covers an emerging working program for the application of systems- and communication theory, connectionism and decision theory on biomedical research and health related questions. Overview Medical cybernetics searches for quantitative descriptions of biological dynamics.J.W. Dietrich (2004)''Medical Cybernetics – A Definition'' Medizinische Kybernetik, 2004. Released under creative commons 2.0 attribution licence. It investigates intercausal networks in human biology, medical decision making and information processing structures in the living organism. Approaches of medical cybernetics include: * Systems theory in medical sciences: The scope of systems theory in the medical sciences is searching for and ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
List Of Biomedical Cybernetics Software
The following is a list of software packages and applications for biocybernetics research. Data formats and specifications * Systems Biology Markup Language (SBML) * Biological Pathway Exchange ( BioPAX) * CellML * Minimum Information About a Simulation Experiment (MIASE) * Minimum information required in the annotation of models (MIRIAM) * Systems Biology Ontology (SBO) * Systems Biology Graphical Notation (SBGN) Libraries for software development * CyberUnits, a class library for computer simulations in life sciences Software products * SimThyr – Simulation system for thyroid homeostasis See also * List of sequence alignment software * List of open-source healthcare software * List of open-source bioinformatics software * List of proprietary bioinformatics software * List of freeware health software * List of molecular graphics systems * List of systems biology modeling software * Comparison of software for molecular mechanics modeling This is a list of ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Cybernetics
Cybernetics is the transdisciplinary study of circular causal processes such as feedback and recursion, where the effects of a system's actions (its outputs) return as inputs to that system, influencing subsequent action. It is concerned with general principles that are relevant across multiple contexts, including in engineering, ecological, economic, biological, cognitive and social systems and also in practical activities such as designing, learning, and managing. Cybernetics' transdisciplinary character has meant that it intersects with a number of other fields, leading to it having both wide influence and diverse interpretations. The field is named after an example of circular causal feedback—that of steering a ship (the ancient Greek κυβερνήτης (''kybernḗtēs'') refers to the person who steers a ship). In steering a ship, the position of the rudder is adjusted in continual response to the effect it is observed as having, forming a feedback loop throu ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Psycho-Cybernetics
''Psycho-Cybernetics'' is a self-help book written by American writer Maxwell Maltz in 1960. Motivational and self-help experts in personal development, including Zig Ziglar, Tony Robbins, Brian Tracy have based their techniques on Maxwell Maltz. Many of the psychological methods of training elite athletes are based on the concepts in Psycho-Cybernetics as well. The book combines the cognitive behavioral technique of teaching an individual how to regulate self-concept, using theories developed by Prescott Lecky, with the cybernetics of Norbert Wiener and John von Neumann. The book defines the mind-body connection as the core in succeeding in attaining personal goals. [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Max Planck Institute For Biological Cybernetics
The Max Planck Institute for Biological Cybernetics is located in Tübingen, Baden-Württemberg, Germany. It is one of 80 institutes in the Max Planck Society (Max Planck Gesellschaft). It was founded in 1968. The institute is studying signal and information processing in the brain. We know that our brain is constantly processing a vast amount of sensory and intrinsic information by which our behavior is coordinated accordingly. How the brain actually achieves these tasks is less well understood, for example, how it perceives, recognizes, and learns new objects. The scientists at the Max Planck Institute for Biological Cybernetics aim to determine which signals and processes are responsible for creating a coherent percept of our environment and for eliciting the appropriate behavior. Scientists of several departments and research groups are working towards answering fundamental questions about processing in the brain, using different approaches and methods. Departments De ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Computational Biomodeling
Modelling biological systems is a significant task of systems biology and mathematical biology. Computational systems biology aims to develop and use efficient algorithms, data structures, visualization and communication tools with the goal of computer modelling of biological systems. It involves the use of computer simulations of biological systems, including cellular subsystems (such as the networks of metabolites and enzymes which comprise metabolism, signal transduction pathways and gene regulatory networks), to both analyze and visualize the complex connections of these cellular processes. An unexpected emergent property of a complex system may be a result of the interplay of the cause-and-effect among simpler, integrated parts (see biological organisation). Biological systems manifest many important examples of emergent properties in the complex interplay of components. Traditional study of biological systems requires reductive methods in which quantities of data are gathe ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Computational Biology
Computational biology refers to the use of techniques in computer science, data analysis, mathematical modeling and Computer simulation, computational simulations to understand biological systems and relationships. An intersection of computer science, biology, and data science, the field also has foundations in applied mathematics, molecular biology, cell biology, chemistry, and genetics. History Bioinformatics, the analysis of informatics processes in biological systems, began in the early 1970s. At this time, research in artificial intelligence was using network models of the human brain in order to generate new algorithms. This use of biological data pushed biological researchers to use computers to evaluate and compare large data sets in their own field. By 1982, researchers shared information via Punched card, punch cards. The amount of data grew exponentially by the end of the 1980s, requiring new computational methods for quickly interpreting relevant information. Per ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Biosemiotics
Biosemiotics (from the Ancient Greek, Greek βίος ''bios'', "life" and σημειωτικός ''sēmeiōtikos'', "observant of signs") is a field of semiotics (especially Neurosemiotics) and biology that studies the prelinguistic meaning-making, biological interpretation (logic), interpretation processes, production of Sign (semiotics), signs and Code (semiotics), codes and communication processes in the biological realm.Favareau, Donald (ed.) 2010. ''Essential Readings in Biosemiotics: Anthology and Commentary''. (Biosemiotics 3.) Berlin: Springer. Biosemiotics integrates the findings of biology and semiotics and proposes a paradigm shift, paradigmatic shift in the scientific view of life, in which semiosis (sign process, including Meaning (semiotics), meaning and interpretation) is one of its immanent and intrinsic features. The term ''biosemiotic'' was first used by Friedrich S. Rothschild in 1962, but Thomas Sebeok, Thure von Uexküll, Jesper Hoffmeyer and many others have ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Bioinformatics
Bioinformatics () is an interdisciplinary field of science that develops methods and Bioinformatics software, software tools for understanding biological data, especially when the data sets are large and complex. Bioinformatics uses biology, chemistry, physics, computer science, data science, computer programming, information engineering, mathematics and statistics to analyze and interpret biological data. The process of analyzing and interpreting data can sometimes be referred to as computational biology, however this distinction between the two terms is often disputed. To some, the term ''computational biology'' refers to building and using models of biological systems. Computational, statistical, and computer programming techniques have been used for In silico, computer simulation analyses of biological queries. They include reused specific analysis "pipelines", particularly in the field of genomics, such as by the identification of genes and single nucleotide polymorphis ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Evolutionary Algorithm
Evolutionary algorithms (EA) reproduce essential elements of the biological evolution in a computer algorithm in order to solve "difficult" problems, at least Approximation, approximately, for which no exact or satisfactory solution methods are known. They belong to the class of Metaheuristic, metaheuristics and are a subset of Population Based Bio-Inspired Algorithms, population based bio-inspired algorithms and evolutionary computation, which itself are part of the field of computational intelligence. The mechanisms of biological evolution that an EA mainly imitates are reproduction, mutation, genetic recombination, recombination and natural selection, selection. Candidate solutions to the optimization problem play the role of individuals in a population, and the fitness function determines the quality of the solutions (see also loss function). Evolution of the population then takes place after the repeated application of the above operators. Evolutionary algorithms often perfor ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Evolutionary Programming
Evolutionary programming is an evolutionary algorithm, where a share of new population is created by mutation of previous population without crossover. Evolutionary programming differs from evolution strategy ES(\mu+\lambda) in one detail. All individuals are selected for the new population, while in ES(\mu+\lambda), every individual has the same probability to be selected. It is one of the four major evolutionary algorithm paradigms. History It was first used by Lawrence J. Fogel in the US in 1960 in order to use simulated evolution as a learning process aiming to generate artificial intelligence. It was used to evolve finite-state machines as predictors. See also * Artificial intelligence * Genetic algorithm In computer science and operations research, a genetic algorithm (GA) is a metaheuristic inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms (EA). Genetic algorithms are commonly used to g ... * Genetic opera ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
