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                Modeling Excitable Tissue
                
            
            
            
              This open access volume presents a novel computational framework for understanding how collections of excitable cells work. The key approach in the text is to model excitable tissue by representing the individual cells constituting the tissue. This is in stark contrast to the common approach where homogenization is used to develop models where the cells are not explicitly present. The approach allows for very detailed analysis of small collections of excitable cells, but computational challenges limit the applicability in the presence of large collections of cells.            
            
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            Detail Information
            
                - Series Title
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                    Simula SpringerBriefs on Computing 
- Call Number
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                    - 
- Publisher
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                    Springer Cham :
                    Springer Cham.,
                    2020
                
- Collation
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                    - 
- Language
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                        English 
- ISBN/ISSN
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                    978-3-030-61157-6 
- Classification
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                    NONE 
- Content Type
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                    text 
- Media Type
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                    computer 
- Carrier Type
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                    online resource 
- Edition
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                    1 
- Subject(s)
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- Specific Detail Info
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- Statement of Responsibility
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                    Aslak Tveito, Kent-Andre Mardal, Marie E. Rognes 
Other Information
              
                                    - Cataloger
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                        - 
- Source
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                        https://link.springer.com/book/10.1007/978-3-030-61157-6 
- Validator
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                        Suwardi 
- Digital Object Identifier (DOI)
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                        - 
- Journal Volume
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- Journal Issue
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- Subtitle
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                        - 
- Parallel Title
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