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The role of inhibition and adaptation in sensory information processing
Kybernetik, 1972Some common features of neural transformations along sensory pathways are discussed. The emphasis is on spatial mapping in the visual system, but close parallels exist in temporal visual mapping as well as other sensory systems. The role played by lateral inhibition in sequential transformations is investigated by direct computation and by mathematical
E, Harth, G, Pertile
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Information processing model of information technology adaptation
ACM SIGMIS Database: the DATABASE for Advances in Information Systems, 2005Appropriate information technology (IT) diffusion facilitates the achievement of expected return on IT investments. The purpose of this study is to advance IT diffusion research by employing information processing theory as a lens with which to examine the adaptation (design, development, and installation) process. This is in contrast to much of the IT
Randolph B. Cooper, Richard A. Wolfe
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The Adaptive Information Processing Model
2023Abstract The Adaptive Information Processing (AIP) model is the theoretical foundation for the EMDR approach to psychotherapy. It guides all aspects of EMDR treatment including history taking, case conceptualization, preparation, memory reprocessing, and re-evaluation as treatment unfolds.
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Dynamics and information processing in adaptive systems
Biosystems, 1998An adaptive system is capable of functioning despite some degree of environmental uncertainty. This requires an ability to identify relevant states of the environment, to adjust the value of internal variables so as to maintain a characteristic pattern of activity and, of course, to respond appropriately to environmental stimuli.
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A New Information Processing Measure for Adaptive Complex Systems
IEEE Transactions on Neural Networks, 2004This paper presents an implementation-independent measure of the amount of information processing performed by (part of) an adaptive system which depends on the goal to be performed by the overall system. This new measure gives rise to a theoretical framework under which several classical supervised and unsupervised learning algorithms fall and ...
Manuel A. Sánchez-Montañés +1 more
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Microtubule networks as a medium for adaptive information processing
1998Microtubules are protein structures that develop cell specific organizations and are known to play a major role in cell morphology, protein transport, and organelle structure. Microtubules have also been suggested as a medium for long range intracellular signaling.
Jeffrey O. Pfaffmann, Michael Conrad
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Adaptive statistical inferential methods for information processing
SPIE Future Sensing Technologies, 2020Modern sensors produce increasingly high volume of data that requires efficient and reliable statistical methods for information processing. We consider frequent problems of information processing which can be cast into the framework of parameter estimation and multihypothesis testing.
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Adaptive Information for Nomadic Activities. A process oriented approach
1999The paper describes the idea and the structure of a mobile information system under development in the HIPS1 project that allows for supporting nomadic activities. Nomadic activities are a widespread class of human activities. Many activities are distributed in time, space and social groups.
Reinhard Oppermann, Marcus Specht
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Adaptive Query Processing for Semantic Interoperable Information Systems
2011We present an adaptive query processing approach for semantic interoperable information systems. The algorithm is self-adapted to the changes of the environment, offers a wide aptitude and solves the various data conflicts in a dynamic way, it reformulates the query using the schema mediation method for the discovered systems and the context mediation ...
Saber Benharzallah +2 more
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Bio-Inspired Adaptive Integrated Information Processing
2008 IEEE National Aerospace and Electronics Conference, 2008Biological brains are dramatically more effective in dealing with real-world adaptive information processes and decisions than most advanced computers. Advanced computers can utilize the discipline of classical signal processing whereby providing theoretical mathematical and statistical approaches for information processing, and with the vision of bio ...
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