Computational Neuroscience Realistic Modeling

✍ Scribed by Erik De Schutter

Publisher: CRC Press
Year: 2000
Tongue: English
Leaves: 368
Series: Methods and New Frontiers in Neuroscience, Volume: 5
Category: Library

⬇ Acquire This Volume

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Computational Neuroscience Realistic Mod

📁 Computational Neuroscience Realistic Modeling

✍ Erik De Schutter 📂 Library 📅 2000 🏛 CRC Press 🌐 English

Designed primarily as an introduction to realistic modeling methods, Computational Neuroscience focuses on methodological approaches, including selecting appropriate methods, identifying potential pitfalls. It addresses varying levels of complexity, from molecular interactions within single neurons

Computational neuroscience: realistic mo

📁 Computational neuroscience: realistic modeling for experimentalists

✍ Erik de Schutter 📂 Library 📅 2001 🏛 CRC Press 🌐 English

Designed primarily as an introduction to realistic modeling methods, Computational Neuroscience: Realistic Modeling for Experimentalists focuses on methodological approaches, selecting appropriate methods, and identifying potential pitfalls. The author addresses varying levels of complexity, from mo

Computational Neuroscience: Realistic Mo

📁 Computational Neuroscience: Realistic Modeling for Experimentalists

✍ Erik De Schutter (Editor) 📂 Library 📅 2000 🏛 CRC Press

<p>Designed primarily as an introduction to realistic modeling methods, Computational Neuroscience: Realistic Modeling for Experimentalists focuses on methodological approaches, selecting appropriate methods, and identifying potential pitfalls. The author addresses varying levels of complexity, from

Computational neuroscience: realistic mo

📁 Computational neuroscience: realistic modeling for experimentalists

✍ Erik De Schutter 📂 Library 📅 2001 🏛 CRC Press 🌐 English

Computational Modeling Methods for Neuro

📁 Computational Modeling Methods for Neuroscientists (Computational Neuroscience)

✍ Erik De Schutter 📂 Library 📅 2009 🏛 The MIT Press 🌐 English

A guide to computational modeling methods in neuroscience, covering a range of modeling scales from molecular reactions to large neural networks.

Principles of Computational Modelling in

📁 Principles of Computational Modelling in Neuroscience

✍ David Sterratt, Bruce Graham, Andrew Gillies, David Willshaw 📂 Library 📅 2011 🏛 Cambridge University Press 🌐 English

The nervous system is made up of a large number of interacting elements. To understand how such a complex system functions requires the construction and analysis of computational models at many different levels. This book provides a step-by-step account of how to model the neuron and neural circuitr