The Noisy Brain: Stochastic Dynamics as a Principle of Brain Function by Edmund T. Rolls

The Noisy Brain: Stochastic Dynamics as a Principle of Brain Function

byEdmund T. Rolls, Gustavo Deco

Hardcover | February 28, 2010

not yet rated|write a review

Pricing and Purchase Info

$81.95

Earn 410 plum® points

Ships within 1-3 weeks

Ships free on orders over $25

Not available in stores

about

The activity of neurons in the brain is noisy in that their firing times are random when they are firing at a given mean rate. This introduces a random or stochastic property into brain processing which we show in this book is fundamental to understanding many aspects of brain function,including probabilistic decision making, perception, memory recall, short-term memory, attention, and even creativity. In The Noisy Brain we show that in many of these processes, the noise caused by the random neuronal firing times is useful. However, this stochastic dynamics can be unstable oroverstable, and we show that the stability of attractor networks in the brain in the face of noise may help to understand some important dysfunctions that occur in schizophrenia, normal aging, and obsessive-compulsive disorder. The Noisy Brain provides a unifying computational approach to brain function that links synaptic and biophysical properties of neurons through the firing of single neurons to the properties of the noise in large connected networks of noisy neurons to the levels of functional neuroimaging andbehaviour. The book describes integrate - and - fire neuronal attractor networks with noise, and complementary mean-field analyses using approaches from theoretical physics. The book shows how they can be used to understand neuronal, functional neuroimaging, and behavioural data on decision-making,perception, memory recall, short-term memory, attention, and brain dysfunctions that occur in schizophrenia, normal aging, and obsessive-compulsive disorder. The Noisy Brain will be valuable for those in the fields of neuroscience, psychology, cognitive neuroscience, and biology from advanced undergraduate level upwards. It will also be of interest to those interested in neuroeconomics, animal behaviour, zoology, psychiatry, medicine, physics, andphilosophy. The book has been written with modular chapters and sections, making it possible to select particular Chapters for course work. Advanced material on the physics of stochastic dynamics in the brain is contained in the Appendix.

About The Author

Edmund T. Rolls is a neuroscientist at The Oxford Centre for Computational Neuroscience, Oxford, http://www.oxcns.org, and was Professor of Experimental Psychology at the University of Oxford, and a Fellow and Tutor of Corpus Christi College, Oxford. He read preclinical medicine at the University of Cambridge, and now performs researc...
Cerebral Cortex: Principles of Operation
Cerebral Cortex: Principles of Operation

by Edmund T. Rolls

$126.00

Ships within 1-2 weeks

Not available in stores

Emotion and Decision-making Explained
Emotion and Decision-making Explained

by Edmund T. Rolls

$75.99$94.99

Available for download

Not available in stores

Introduction to Connectionist Modelling of Cognitive Processes
Introduction to Connectionist Modelling of Cognitive Processes

by Peter McLeod

$121.95$126.00

Ships within 1-3 weeks

Not available in stores

Shop this author

Details & Specs

Title:The Noisy Brain: Stochastic Dynamics as a Principle of Brain FunctionFormat:HardcoverDimensions:316 pages, 9.69 × 6.73 × 0.79 inPublished:February 28, 2010Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0199587868

ISBN - 13:9780199587865

Look for similar items by category:

Customer Reviews of The Noisy Brain: Stochastic Dynamics as a Principle of Brain Function

Reviews

Extra Content

Table of Contents

1. Introduction: neuronal, cortical, and network foundations2. Stochastic neurodynamics3. Short-term memory and stochastic dynamics4. Attention and stochastic dynamics5. Probabilistic decision-making6. Confidence and decision-making7. Perceptual detection and stochastic dynamics8. Applications of this stochastic dynamical theory to brain functionA. Mean-field analyses, and stochastic dynamicsReferencesIndexB. Colour Plates