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Computational Systems Biology Of Synaptic Plasticity: Modelling Of Biochemical Pathways Related To Memory Formation And Impairement

2017-06-09 Science
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Release : 2017-06-09
Genre : Science
Kind : eBook
Book Rating : 398/5 ( reviews)

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Book Synopsis Computational Systems Biology Of Synaptic Plasticity: Modelling Of Biochemical Pathways Related To Memory Formation And Impairement by : Don Kulasiri

Download or read book Computational Systems Biology Of Synaptic Plasticity: Modelling Of Biochemical Pathways Related To Memory Formation And Impairement written by Don Kulasiri. This book was released on 2017-06-09. Available in PDF, EPUB and Kindle. Book excerpt: This book demonstrates the power of mathematical thinking in understanding the biological complexity that exists within the brain. It looks at the latest research on modelling of biochemical pathways within synapses, and provides a clear background for the study of mathematical models related to systems biology. Discussion then focusses on developments in computational models based on networks linked to synaptic plasticity. The models are used to understand memory formation and impairment and they provide a mathematical basis for memory research.Computational Systems Biology of Synaptic Plasticity is a valuable source of knowledge to postgraduate students and researchers in computational systems biology, and as a reference book for various techniques that are needed in modelling biological processes.

Computational Systems Biology of Synaptic Plasticity

2017 Computers
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Release : 2017
Genre : Computers
Kind : eBook
Book Rating : 376/5 ( reviews)

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Book Synopsis Computational Systems Biology of Synaptic Plasticity by : Don Kulasiri

Download or read book Computational Systems Biology of Synaptic Plasticity written by Don Kulasiri. This book was released on 2017. Available in PDF, EPUB and Kindle. Book excerpt: This book demonstrates the power of mathematical thinking in understanding the biological complexity that exists within the brain. It looks at the latest research on modelling of biochemical pathways within synapses, and provides a clear background for the study of mathematical models related to systems biology. Discussion then focusses on developments in computational models based on networks linked to synaptic plasticity. The models are used to understand memory formation and impairment and they provide a mathematical basis for memory research. Computational Systems Biology of Synaptic Plasticity is a valuable source of knowledge to postgraduate students and researchers in computational systems biology, and as a reference book for various techniques that are needed in modelling biological processes.

Alzheimer's Disease: Biology, Biophysics And Computational Models

2022-01-06 Medical
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Release : 2022-01-06
Genre : Medical
Kind : eBook
Book Rating : 130/5 ( reviews)

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Book Synopsis Alzheimer's Disease: Biology, Biophysics And Computational Models by : Don Kulasiri

Download or read book Alzheimer's Disease: Biology, Biophysics And Computational Models written by Don Kulasiri. This book was released on 2022-01-06. Available in PDF, EPUB and Kindle. Book excerpt: Alzheimer's disease (AD) is the leading cause of dementia and, unfortunately, remains incurable. The social, emotional and financial implications of AD are immeasurable, and about 47 million people worldwide are affected by AD or other forms of dementia. As lifespans are improved by healthcare systems worldwide, age-associated neurodegenerative diseases are imposing an increasing challenge to science. It is becoming imperative for us to understand the causes of these diseases, AD in particular, at molecular and cellular levels. Starting with the broader picture from a biological perspective, this book takes the reader through fascinating dynamics within and outside of neurons in the brain.Alzheimer's Disease: Biology, Biophysics and Computational Models helps the reader to understand AD from mechanistic and biochemical perspectives at intra- and inter-cellular levels. It focuses on biochemical pathways and modeling associated with AD. Some of the recent research on biophysics and computational models related to AD are explained using context-driven computational and mathematical modeling and essential biology is discussed to understand the modeling research.

Proceedings of 11th International Conference on Alzheimers Disease & Dementia 2018

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Book Synopsis Proceedings of 11th International Conference on Alzheimers Disease & Dementia 2018 by : ConferenceSeries

Download or read book Proceedings of 11th International Conference on Alzheimers Disease & Dementia 2018 written by ConferenceSeries. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt: May 24-25, 2018 | Vienna | Austria Key Topics : Dementia-an underlying disease, Symptoms and Diagnosis of Dementia, Vascular Dementia, Alzheimer’s Diagnosis and Symptoms, Alzheimer’s Imaging and Clinical trials, Alzheimer’s Pathophysiology, Parkinson’s disease, Dementia with Lewy bodies, Frontotemporal dementia, Wernicke-Korsakoff Syndrome, Amyloid Protein in Dementia, Neurocognitive Disorder, Dementia Care Practice & Awareness, Therapeutic Targets & Mechanisms for Treatment, Animal Models & Translational Medicine, Mixed Dementia, Alzheimer’s Disease and Dementia Natural Remedies,

Essential Computing Skills For Biologists

2018-07-02 Science
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Release : 2018-07-02
Genre : Science
Kind : eBook
Book Rating : 264/5 ( reviews)

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Book Synopsis Essential Computing Skills For Biologists by : Ziling Wang

Download or read book Essential Computing Skills For Biologists written by Ziling Wang. This book was released on 2018-07-02. Available in PDF, EPUB and Kindle. Book excerpt: This is a handbook of methods and protocols for biologists. It aimed at undergraduate, graduate students and researchers originally trained in biological or medical sciences who need to know how to access the data archives of genomes, proteins, metabolites, gene expression profiles and the questions these data and tools can answer. For each chapter, the conceptual and experimental background is provided, together with specific guidelines for handling raw data, including preprocessing and analysis.The content is structured into three parts. Part one introduces basic knowledge about popular bioinformatics tools, databases and web resources. Part two presents examples of omics bioinformatics applications. Part three provides basic statistical analysis skills and programming skills needed to handle and analyze omics datasets.

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