G. Bard Ermentrout – författare

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5 produkter

1. 

   Mathematical Foundations of Neuroscience

   Av G. Bard Ermentrout, David H. Terman

   Inbunden, 2010

   984 kr

   Lägg i varukorg

   This book applies methods from nonlinear dynamics to problems in neuroscience. It uses modern mathematical approaches to understand patterns of neuronal activity seen in experiments and models of neuronal behavior. The intended audience is researchers interested in applying mathematics to important …

2. 

   Mathematical Foundations of Neuroscience

   Av David H. Terman, G. Bard Ermentrout

   E-bok, 2010

   1260 kr

   Lägg i varukorg

   This book applies methods from nonlinear dynamics to problems in neuroscience. It uses modern mathematical approaches to understand patterns of neuronal activity seen in experiments and models of neuronal behavior. The intended audience is researchers interested in applying mathematics to important …

3. 

   Mathematical Foundations of Neuroscience

   Av G. Bard Ermentrout, David H. Terman

   Häftad, 2012

   984 kr

   Lägg i varukorg

   This book applies methods from nonlinear dynamics to problems in neuroscience. It uses modern mathematical approaches to understand patterns of neuronal activity seen in experiments and models of neuronal behavior. The intended audience is researchers interested in applying mathematics to important …

4. 

   Tutorials in Mathematical Biosciences I

   Mathematical Neuroscience

   Av Alla Borisyuk, G. Bard Ermentrout m. fl.

   Häftad, 2005

   550 kr

   Lägg i varukorg

   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 self-contained introduction to dynamical systems and bifurcation theory, oriented towards neuronal dynamics. The theory is …

5. 

   Tutorials in Mathematical Biosciences I

   Mathematical Neuroscience

   Av David H. Terman, Avner Friedman m. fl.

   E-bok, 2005

   734 kr

   Lägg i varukorg

   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 self-contained introduction to dynamical systems and bifurcation theory, oriented towards neuronal dynamics. The theory is …