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Polarization theory of motivations, emotions and
Polarization theory of motivations, emotions and

... A new theory of motivations, emotions and attention is suggested, considering them as functions of sensory systems. The theory connects neurophysiological mechanisms of mental phenomena with the change of metabolic and functional state of perceptive neurons, which is reflected in the degree of polar ...
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... The overriding message, in any case, is that the brain is the organ of adaptation—-the interface between the individual and its environment. As such it dynamically adjusts to the past demands placed upon it by experience, as if assuming that the experiences of the past must be good predictors of the ...
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All Science is Computer Science!
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Proprioception

... also more spindles found in the arms and legs, muscles that must maintain posture against gravity (1). Another proprioceptor, the golgi tendon organ, is found where the tendons meet the muscle. They send detailed information about the tension occurring in specific parts of the muscle. There are als ...
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Neuroinformatics

Neuroinformatics is a research field concerned with the organization of neuroscience data by the application of computational models and analytical tools. These areas of research are important for the integration and analysis of increasingly large-volume, high-dimensional, and fine-grain experimental data. Neuroinformaticians provide computational tools, mathematical models, and create interoperable databases for clinicians and research scientists. Neuroscience is a heterogeneous field, consisting of many and various sub-disciplines (e.g., Cognitive Psychology, Behavioral Neuroscience, and Behavioral Genetics). In order for our understanding of the brain to continue to deepen, it is necessary that these sub-disciplines are able to share data and findings in a meaningful way; Neuroinformaticians facilitate this.Neuroinformatics stands at the intersection of neuroscience and information science. Other fields, like genomics, have demonstrated the effectiveness of freely-distributed databases and the application of theoretical and computational models for solving complex problems. In Neuroinformatics, such facilities allow researchers to more easily quantitatively confirm their working theories by computational modeling. Additionally, neuroinformatics fosters collaborative research—an important fact that facilitates the field's interest in studying the multi-level complexity of the brain.There are three main directions where neuroinformatics has to be applied: the development of tools and databases for management and sharing of neuroscience data at all levels of analysis, the development of tools for analyzing and modeling neuroscience data, the development of computational models of the nervous system and neural processes.In the recent decade, as vast amounts of diverse data about the brain were gathered by many research groups, the problem was raised of how to integrate the data from thousands of publications in order to enable efficient tools for further research. The biological and neuroscience data are highly interconnected and complex, and by itself, integration represents a great challenge for scientists.Combining informatics research and brain research provides benefits for both fields of science. On one hand, informatics facilitates brain data processing and data handling, by providing new electronic and software technologies for arranging databases, modeling and communication in brain research. On the other hand, enhanced discoveries in the field of neuroscience will invoke the development of new methods in information technologies (IT).
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