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...
Neuroscience research studies the brain at various different levels of detail. Experimental work exp...
Neurons communicate with each other at synapses. These are plastic communication units that modulat...
The notion that changes in synaptic efficacy underlie learning and memory processes is now widely ac...
It is imperative to understand the human memory formation and impairment to treat dementia effective...
Memories are stored, retained, and recollected through complex, coupled processes operating on multi...
Self-organization in biological nervous systems during the lifetime is known to largely occur throug...
Abstract:- We present two examples of computational cellular biology that provide perspective on the...
We present the main aspects of mathematical models for computational neuroscience, with emphasis on ...
Theoretical neuroscience provides a quantitative basis for describing what nervous systems do, deter...
Synaptic plasticity, an emergent property of synaptic networks, has shown strong correlation to one ...
A comprehensive introduction to the world of brain and behavior computational models This book provi...
Systems Biology studies the relationships and interactions between parts of biological systems (such...
Computational modeling is emerging as a powerful new approach for studying and manipulating biologic...
Systems biology aims at creating mathematical models, i.e., computational reconstructions of biologi...
This book is intended for students of computational systems biology with only a limited background i...
Neuroscience research studies the brain at various different levels of detail. Experimental work exp...
Neurons communicate with each other at synapses. These are plastic communication units that modulat...
The notion that changes in synaptic efficacy underlie learning and memory processes is now widely ac...
It is imperative to understand the human memory formation and impairment to treat dementia effective...
Memories are stored, retained, and recollected through complex, coupled processes operating on multi...
Self-organization in biological nervous systems during the lifetime is known to largely occur throug...
Abstract:- We present two examples of computational cellular biology that provide perspective on the...
We present the main aspects of mathematical models for computational neuroscience, with emphasis on ...
Theoretical neuroscience provides a quantitative basis for describing what nervous systems do, deter...
Synaptic plasticity, an emergent property of synaptic networks, has shown strong correlation to one ...
A comprehensive introduction to the world of brain and behavior computational models This book provi...
Systems Biology studies the relationships and interactions between parts of biological systems (such...
Computational modeling is emerging as a powerful new approach for studying and manipulating biologic...
Systems biology aims at creating mathematical models, i.e., computational reconstructions of biologi...
This book is intended for students of computational systems biology with only a limited background i...
Neuroscience research studies the brain at various different levels of detail. Experimental work exp...
Neurons communicate with each other at synapses. These are plastic communication units that modulat...
The notion that changes in synaptic efficacy underlie learning and memory processes is now widely ac...