Download spiking neuron models single neurons populations plasticity in pdf or read spiking neuron models single neurons populations plasticity in pdf online books in PDF, EPUB and Mobi Format. Click Download or Read Online button to get spiking neuron models single neurons populations plasticity in pdf book now. This site is like a library, Use search box in the widget to get ebook that you want.

Spiking Neuron Models

Author: Wulfram Gerstner
Publisher: Cambridge University Press
ISBN: 9780521890793
Size: 66.10 MB
Format: PDF, ePub, Docs
View: 3391
Download and Read
This is an introduction to spiking neurons for advanced undergraduate or graduate students. It can be used with courses in computational neuroscience, theoretical biology, neural modeling, biophysics, or neural networks. It focuses on phenomenological approaches rather than detailed models in order to provide the reader with a conceptual framework. No prior knowledge beyond undergraduate mathematics is necessary to follow the book. Thus it should appeal to students or researchers in physics, mathematics, or computer science interested in biology; moreover it will also be useful for biologists working in mathematical modeling.

Neuronal Dynamics

Author: Wulfram Gerstner
Publisher: Cambridge University Press
ISBN: 1107060834
Size: 63.59 MB
Format: PDF, Kindle
View: 7761
Download and Read
This solid introduction uses the principles of physics and the tools of mathematics to approach fundamental questions of neuroscience.

Introduction To Computational Genomics

Author: Nello Cristianini
Publisher: Cambridge University Press
ISBN: 1139460153
Size: 23.69 MB
Format: PDF, ePub, Mobi
View: 3746
Download and Read
Where did SARS come from? Have we inherited genes from Neanderthals? How do plants use their internal clock? The genomic revolution in biology enables us to answer such questions. But the revolution would have been impossible without the support of powerful computational and statistical methods that enable us to exploit genomic data. Many universities are introducing courses to train the next generation of bioinformaticians: biologists fluent in mathematics and computer science, and data analysts familiar with biology. This readable and entertaining book, based on successful taught courses, provides a roadmap to navigate entry to this field. It guides the reader through key achievements of bioinformatics, using a hands-on approach. Statistical sequence analysis, sequence alignment, hidden Markov models, gene and motif finding and more, are introduced in a rigorous yet accessible way. A companion website provides the reader with Matlab-related software tools for reproducing the steps demonstrated in the book.

Computational Neuroscience

Author: Hanspeter Mallot
Publisher: Springer Science & Business Media
ISBN: 3319008617
Size: 54.49 MB
Format: PDF, Docs
View: 6609
Download and Read
Computational Neuroscience - A First Course provides an essential introduction to computational neuroscience and equips readers with a fundamental understanding of modeling the nervous system at the membrane, cellular, and network level. The book, which grew out of a lecture series held regularly for more than ten years to graduate students in neuroscience with backgrounds in biology, psychology and medicine, takes its readers on a journey through three fundamental domains of computational neuroscience: membrane biophysics, systems theory and artificial neural networks. The required mathematical concepts are kept as intuitive and simple as possible throughout the book, making it fully accessible to readers who are less familiar with mathematics. Overall, Computational Neuroscience - A First Course represents an essential reference guide for all neuroscientists who use computational methods in their daily work, as well as for any theoretical scientist approaching the field of computational neuroscience.

Handbook Of Neural Engineering

Author: Metin Akay
Publisher: John Wiley & Sons
ISBN: 0470068280
Size: 79.16 MB
Format: PDF, Docs
View: 4777
Download and Read
An important new work establishing a foundation for future developments in neural engineering The Handbook of Neural Engineering provides theoretical foundations in computational neural science and engineering and current applications in wearable and implantable neural sensors/probes. Inside, leading experts from diverse disciplinary groups representing academia, industry, and private and government organizations present peer-reviewed contributions on the brain-computer interface, nano-neural engineering, neural prostheses, imaging the brain, neural signal processing, the brain, and neurons. The Handbook of Neural Engineering covers: Neural signal and image processing--the analysis and modeling of neural activity and EEG-related activities using the nonlinear and nonstationary analysis methods, including the chaos, fractal, and time-frequency and time-scale analysis methods--and how to measure functional, physiological, and metabolic activities in the human brain using current and emerging medical imaging technologies Neuro-nanotechnology, artificial implants, and neural prosthesis--the design of multi-electrode arrays to study how the neurons of human and animals encode stimuli, the evaluation of functional changes in neural networks after stroke and spinal cord injuries, and improvements in therapeutic applications using neural prostheses Neurorobotics and neural rehabilitation engineering--the recent developments in the areas of biorobotic system, biosonar head, limb kinematics, and robot-assisted activity to improve the treatment of elderly subjects at the hospital and home, as well as the interactions of the neuron chip, neural information processing, perception and neural dynamics, learning memory and behavior, biological neural networks, and neural control

Biophysics Of Computation

Author: Christof Koch
Publisher: Oxford University Press
ISBN: 0195181999
Size: 33.81 MB
Format: PDF, ePub
View: 4848
Download and Read
Neural network research often builds on the fiction that neurons are simple linear threshold units, completely neglecting the highly dynamic and complex nature of synapses, dendrites, and voltage-dependent ionic currents. Biophysics of Computation: Information Processing in Single Neurons challenges this notion, using richly detailed experimental and theoretical findings from cellular biophysics to explain the repertoire of computational functions available to single neurons. The author shows how individual nerve cells can multiply, integrate, or delay synaptic inputs and how information can be encoded in the voltage across the membrane, in the intracellular calcium concentration, or in the timing of individual spikes.Key topics covered include the linear cable equation; cable theory as applied to passive dendritic trees and dendritic spines; chemical and electrical synapses and how to treat them from a computational point of view; nonlinear interactions of synaptic input in passive and active dendritic trees; the Hodgkin-Huxley model of action potential generation and propagation; phase space analysis; linking stochastic ionic channels to membrane-dependent currents; calcium and potassium currents and their role in information processing; the role of diffusion, buffering and binding of calcium, and other messenger systems in information processing and storage; short- and long-term models of synaptic plasticity; simplified models of single cells; stochastic aspects of neuronal firing; the nature of the neuronal code; and unconventional models of sub-cellular computation.Biophysics of Computation: Information Processing in Single Neurons serves as an ideal text for advanced undergraduate and graduate courses in cellular biophysics, computational neuroscience, and neural networks, and will appeal to students and professionals in neuroscience, electrical and computer engineering, and physics.

The Book Of Genesis

Author: James M. Bower
Publisher: Springer Science & Business Media
ISBN: 1461216346
Size: 58.59 MB
Format: PDF, Mobi
View: 4491
Download and Read
"The Book of GENESIS" is in two parts. Firstly, a collection of contributed articles describes projects created using the GENESIS system, and then a step-by-step tutorial explains how the software works and how best to manipulate it so as to achieve maximum use. As a result, this publication may be seen as a reference guide, a textbook for course use, and as a resource to which readers can turn for ideas on how to devise their own models and applications. The accompanying cross-platform CD-ROM contains the full source code for GENESIS and its graphical interface, XODUS; the GENESIS Reference Manual in hypertext, plain text and Postscript formats; numerous tutorial simulations and example simulation scripts, including all of those used in the book. As a bonus, also included on the CD are a number of items which are not part of the standard distribution of GENESIS. The GENESIS system will continue to be made available through the Cal Tech World Wide Web site, as well, at:

Computational Neuroscience In Epilepsy

Author: Ivan Soltesz
Publisher: Academic Press
ISBN: 9780080559537
Size: 24.17 MB
Format: PDF, Kindle
View: 6442
Download and Read
Epilepsy is a neurological disorder that affects millions of patients worldwide and arises from the concurrent action of multiple pathophysiological processes. The power of mathematical analysis and computational modeling is increasingly utilized in basic and clinical epilepsy research to better understand the relative importance of the multi-faceted, seizure-related changes taking place in the brain during an epileptic seizure. This groundbreaking book is designed to synthesize the current ideas and future directions of the emerging discipline of computational epilepsy research. Chapters address relevant basic questions (e.g., neuronal gain control) as well as long-standing, critically important clinical challenges (e.g., seizure prediction). Computational Neuroscience in Epilepsy should be of high interest to a wide range of readers, including undergraduate and graduate students, postdoctoral fellows and faculty working in the fields of basic or clinical neuroscience, epilepsy research, computational modeling and bioengineering. Covers a wide range of topics from molecular to seizure predictions and brain implants to control seizures Contributors are top experts at the forefront of computational epilepsy research Chapter contents are highly relevant to both basic and clinical epilepsy researchers

Mathematics For Neuroscientists

Author: Fabrizio Gabbiani
Publisher: Academic Press
ISBN: 0128019069
Size: 53.34 MB
Format: PDF
View: 3131
Download and Read
Mathematics for Neuroscientists, Second Edition, presents a comprehensive introduction to mathematical and computational methods used in neuroscience to describe and model neural components of the brain from ion channels to single neurons, neural networks and their relation to behavior. The book contains more than 200 figures generated using Matlab code available to the student and scholar. Mathematical concepts are introduced hand in hand with neuroscience, emphasizing the connection between experimental results and theory. Fully revised material and corrected text Additional chapters on extracellular potentials, motion detection and neurovascular coupling Revised selection of exercises with solutions More than 200 Matlab scripts reproducing the figures as well as a selection of equivalent Python scripts

Information Processing By Neuronal Populations

Author: Christian Holscher
Publisher: Cambridge University Press
ISBN: 1139474251
Size: 58.49 MB
Format: PDF, Mobi
View: 213
Download and Read
Models and concepts of brain function have always been guided and limited by the available techniques and data. This book brings together a multitude of data from different backgrounds. It addresses questions such as: how do different brain areas interact in the process of channelling information? How do neuronal populations encode the information? How are networks formed and separated or associated with other networks? The authors present data at the single cell level both in vitro and in vivo, at the neuronal population level in vivo comparing field potentials (EEGs) in different brain areas, and also present data from spike recordings from identified neuronal populations during the performance of different tasks. Written for academic researchers and graduate students, the book strives to cover the range of single cell activity analysis to the observation of network activity, and finally to brain area activity and cognitive processes of the brain.