Computational Systems Biology of Synaptic Plasticity
Modelling of Biochemical Pathways Related to Memory Formation and Impairment
Nonfiction, Science & Nature, Science, Biological Sciences, Biology, Computers
| Author: | Don Kulasiri, Yao He | ISBN: | 9781786343390 |
| Publisher: | World Scientific Publishing Company | Publication: | June 9, 2017 |
| Imprint: | WSPC (EUROPE) | Language: | English |
| Author: | Don Kulasiri, Yao He |
| ISBN: | 9781786343390 |
| Publisher: | World Scientific Publishing Company |
| Publication: | June 9, 2017 |
| Imprint: | WSPC (EUROPE) |
| Language: | English |
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.
Contents:
- Introduction
- Mathematical Methods in Modelling Biochemical Networks in Systems Biology
- Proteins, Mechanisms and Networks in NMDAR-dependent Synaptic Plasticity
- A Theoretical Model of State Transition of CaMKII
- Bidirectionality of Synaptic Pathways Related to LTP and LTD
- Uncertainty Quantification of Models Related to Synaptic Plasticity
- Synaptic Plasticity in Dementia: Alzheimer's Disease and Role of Calcium
Readership: Postgraduate students and researchers in computational systems biology, and as a reference book for various techniques that are needed in modelling biological processes.
Key Features:
- We are not aware of competing titles of this nature at this point in time
- This book will be very useful to mathematicians as well as biologists
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.
Contents:
- Introduction
- Mathematical Methods in Modelling Biochemical Networks in Systems Biology
- Proteins, Mechanisms and Networks in NMDAR-dependent Synaptic Plasticity
- A Theoretical Model of State Transition of CaMKII
- Bidirectionality of Synaptic Pathways Related to LTP and LTD
- Uncertainty Quantification of Models Related to Synaptic Plasticity
- Synaptic Plasticity in Dementia: Alzheimer's Disease and Role of Calcium
Readership: Postgraduate students and researchers in computational systems biology, and as a reference book for various techniques that are needed in modelling biological processes.
Key Features:
- We are not aware of competing titles of this nature at this point in time
- This book will be very useful to mathematicians as well as biologists
