1. Tutorials in mathematical biosciences [2005 ]
 Berlin : Springer, 2005
 Description
 Book — v. : ill. ; 24 cm.
 Summary

 Preface. A. Friedman: Introduction to Neurons. D. Terman: An Introduction to Dynamical Systems and Neuronal Dynamics. B. Ermentrout: Neural Oscillators. A. Borisyuk: Physiology and Mathematical Modeling of the Auditory System.
 (source: Nielsen Book Data)
 Preface. Introduction. Basic Concept of Ca2+ Signaling in Cells and Tissues (M. J. Sanderson). Modeling IP3Dependent Calcium Dynamics in NonExcitable Cells (J. Sneyd). Integrated Calcium Management in Cardiac Myocytes (T. R. Shannon). Mechanisms and Models of Cardiac ExcitationContraction Coupling (R. L. Winslow, R. Hinch, J. L. Greenstein). Mathematical Analysis of the Generation of Force and Motion in Contracting Muscle (E. Pate). Signal Transduction in Vertebrate Olfactory Receptor Cells (J. Reisert). Mathematical Models of Synaptic Transmission and ShortTerm Plasticity (R. Bertram).
 (source: Nielsen Book Data)
 Inference of Phylogenetic Trees (Laura Salter Kubatko). LargeScale Phylogenetic Analysis of Emerging Infectious Diseases (Daniel Janies and Diego Pol). ReactionDiffusion Equations and Ecological Modeling (Chris Cosner). The Dynamics of MigrationSelection Models (Thomas Nagylaki and Yuan Lou). Some Challenging Mathematical Problems in Evolution of Dispersal and Population Dynamics (Yuan Lou).
 (source: Nielsen Book Data)
 Modeling the Cell Division Cycle (B. Aguda). Angiogenesis  A Biochemical/Mathematical Prospective (H. A. Levine and M. NilsenHamilton). SpatioTemporal Models of the uPA System and Tissue Invasion (G. Lolas). Mathematical Modeling of SpatioTemporal Phenomena in Tumor Immunology (M. Chaplain and A. Matzavinos). Control Theory Approach to Cancer Chemotherapy: Benefiting from Phase Dependence and Overcoming Drug Resistance (M. Kimmel and A. Swierniak). Cancer Models and their Mathematical Analysis (A. Friedman).
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
This volume introduces some basic theories on computational neuroscience. Chapter 1 is a brief introduction to neurons, tailored to the subsequent chapters. Chapter 2 is a selfcontained introduction to dynamical systems and bifurcation theory, oriented towards neuronal dynamics. The theory is illustrated with a model of Parkinson's disease. Chapter 3 reviews the theory of coupled neural oscillators observed throughout the nervous systems at all levels; it describes how oscillations arise, what pattern they take, and how they depend on excitory or inhibitory synaptic connections. Chapter 4 specializes to one particular neuronal system, namely, the auditory system. It includes a selfcontained introduction, from the anatomy and physiology of the inner ear to the neuronal network that connects the hair cells to the cortex, and describes various models of subsystems.
(source: Nielsen Book Data)
This volume introduces some basic mathematical models for cell cycle, proliferation, cancer, and cancer therapy. Chapter 1 gives an overview of the modeling of the cell division cycle. Chapter 2 describes how tumor secretes growth factors to form new blood vessels in its vicinity, which provide it with nutrients it needs in order to grow. Chapter 3 explores the process that enables the tumor to invade the neighboring tissue. Chapter 4 models the interaction between a tumor and the immune system. Chapter 5 is concerned with chemotherapy; it uses concepts from control theory to minimize obstacles arising from drug resistance and from cell cycle dynamics. Finally, Chapter 6 reviews mathematical results for various cancer models.
(source: Nielsen Book Data)
Science Library (Li and Ma)
Science Library (Li and Ma)  Status 

Serials


Shelved by Series title V.1860  Unknown 
Shelved by Series title V.1867  Unknown 
Shelved by Series title V.1872  Unknown 
Shelved by Series title V.1922  Unknown 