![]() To this end, we develop and use globally unique instruments and combine state-of-the-art experimental and theoretical methods from all areas of the natural sciences to understand the molecular mechanisms of biological structures and processes up to the network level, including their dynamics and plasticity. Sustainable, energy- and resource-conserving adaptation and regeneration of cellular structures and processes during ongoing operation are unique to biological information processing.īy comparative analysis of healthy, pathological and age-related mechanisms, we accelerate the gain of knowledge, open knowledge-based access to new therapeutic and diagnostic applications for diseases and new concepts in information technology. and providing them to ACM as part of the ACM eRights selection process. Ultimately, we want to understand how the interactions of cells lead to the formation of networks that plastically change their properties and thus form the basis for learning and memory. on Asian and Low-Resource Language Information Processing (TALLIP) publishes. Information Processing Theory is a cognitive theory that focuses on how information is encoded into our memory. To this end, we explore the function of individual molecules and investigate how they interact and determine cellular functions. Dickson (1980) ,Information Integration: an Information Processing Perspective, in NA - Advances in Consumer Research. Unlike Piagets theory, this approach proposes that. The focus here is on information processing in and between nerve cells. Information Processing is how individuals perceive, analyze, manipulate, use, and remember information. Our goal is to quantitatively and qualitatively understand the cellular and molecular mechanisms of biological information processing down to the atomic level. Understanding and Application of Biological Information Processes ZoomInfo processes this information for direct marketing purposes and for purposes of organizing and making available business contact information to our. ![]()
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