Probabilistic Models Of The Brain

Probabilistic Models Of The Brain Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Probabilistic Models Of The Brain book. This book definitely worth reading, it is an incredibly well-written.

Probabilistic Models of the Brain

Author : Rajesh P.N. Rao,Bruno A. Olshausen,Michael S. Lewicki
Publisher : MIT Press
Page : 348 pages
File Size : 48,5 Mb
Release : 2002-03-29
Category : Medical
ISBN : 0262264323

Get Book

Probabilistic Models of the Brain by Rajesh P.N. Rao,Bruno A. Olshausen,Michael S. Lewicki Pdf

A survey of probabilistic approaches to modeling and understanding brain function. Neurophysiological, neuroanatomical, and brain imaging studies have helped to shed light on how the brain transforms raw sensory information into a form that is useful for goal-directed behavior. A fundamental question that is seldom addressed by these studies, however, is why the brain uses the types of representations it does and what evolutionary advantage, if any, these representations confer. It is difficult to address such questions directly via animal experiments. A promising alternative is to use probabilistic principles such as maximum likelihood and Bayesian inference to derive models of brain function. This book surveys some of the current probabilistic approaches to modeling and understanding brain function. Although most of the examples focus on vision, many of the models and techniques are applicable to other modalities as well. The book presents top-down computational models as well as bottom-up neurally motivated models of brain function. The topics covered include Bayesian and information-theoretic models of perception, probabilistic theories of neural coding and spike timing, computational models of lateral and cortico-cortical feedback connections, and the development of receptive field properties from natural signals.

Bayesian Brain

Author : Kenji Doya,Shin Ishii,Alexandre Pouget
Publisher : MIT Press
Page : 341 pages
File Size : 48,7 Mb
Release : 2007
Category : Bayesian statistical decision theory
ISBN : 9780262042383

Get Book

Bayesian Brain by Kenji Doya,Shin Ishii,Alexandre Pouget Pdf

Experimental and theoretical neuroscientists use Bayesian approaches to analyze the brain mechanisms of perception, decision-making, and motor control.

Computational Models of Brain and Behavior

Author : Ahmed A. Moustafa
Publisher : John Wiley & Sons
Page : 586 pages
File Size : 51,7 Mb
Release : 2017-11-13
Category : Psychology
ISBN : 9781119159063

Get Book

Computational Models of Brain and Behavior by Ahmed A. Moustafa Pdf

A comprehensive Introduction to the world of brain and behavior computational models This book provides a broad collection of articles covering different aspects of computational modeling efforts in psychology and neuroscience. Specifically, it discusses models that span different brain regions (hippocampus, amygdala, basal ganglia, visual cortex), different species (humans, rats, fruit flies), and different modeling methods (neural network, Bayesian, reinforcement learning, data fitting, and Hodgkin-Huxley models, among others). Computational Models of Brain and Behavior is divided into four sections: (a) Models of brain disorders; (b) Neural models of behavioral processes; (c) Models of neural processes, brain regions and neurotransmitters, and (d) Neural modeling approaches. It provides in-depth coverage of models of psychiatric disorders, including depression, posttraumatic stress disorder (PTSD), schizophrenia, and dyslexia; models of neurological disorders, including Alzheimer’s disease, Parkinson’s disease, and epilepsy; early sensory and perceptual processes; models of olfaction; higher/systems level models and low-level models; Pavlovian and instrumental conditioning; linking information theory to neurobiology; and more. Covers computational approximations to intellectual disability in down syndrome Discusses computational models of pharmacological and immunological treatment in Alzheimer's disease Examines neural circuit models of serotonergic system (from microcircuits to cognition) Educates on information theory, memory, prediction, and timing in associative learning Computational Models of Brain and Behavior is written for advanced undergraduate, Master's and PhD-level students—as well as researchers involved in computational neuroscience modeling research.

From Neurons to Neighborhoods

Author : National Research Council,Institute of Medicine,Board on Children, Youth, and Families,Committee on Integrating the Science of Early Childhood Development
Publisher : National Academies Press
Page : 610 pages
File Size : 48,6 Mb
Release : 2000-11-13
Category : Social Science
ISBN : 9780309069885

Get Book

From Neurons to Neighborhoods by National Research Council,Institute of Medicine,Board on Children, Youth, and Families,Committee on Integrating the Science of Early Childhood Development Pdf

How we raise young children is one of today's most highly personalized and sharply politicized issues, in part because each of us can claim some level of "expertise." The debate has intensified as discoveries about our development-in the womb and in the first months and years-have reached the popular media. How can we use our burgeoning knowledge to assure the well-being of all young children, for their own sake as well as for the sake of our nation? Drawing from new findings, this book presents important conclusions about nature-versus-nurture, the impact of being born into a working family, the effect of politics on programs for children, the costs and benefits of intervention, and other issues. The committee issues a series of challenges to decision makers regarding the quality of child care, issues of racial and ethnic diversity, the integration of children's cognitive and emotional development, and more. Authoritative yet accessible, From Neurons to Neighborhoods presents the evidence about "brain wiring" and how kids learn to speak, think, and regulate their behavior. It examines the effect of the climate-family, child care, community-within which the child grows.

Probabilistic Perspectives on Brain (dys)Function

Author : Karl Friston,Thomas Parr,Dimitrije Marković,Maxwell James D. Ramstead,Ryan Smith,Casper Hesp
Publisher : Frontiers Media SA
Page : 172 pages
File Size : 55,5 Mb
Release : 2021-08-02
Category : Science
ISBN : 9782889711284

Get Book

Probabilistic Perspectives on Brain (dys)Function by Karl Friston,Thomas Parr,Dimitrije Marković,Maxwell James D. Ramstead,Ryan Smith,Casper Hesp Pdf

Magnetic Resonance Scanning and Epilepsy

Author : Simon D. Shorvon,D.R. Fish,F. Andermann,G.M. Bydder,H. Stefan
Publisher : Springer Science & Business Media
Page : 297 pages
File Size : 44,5 Mb
Release : 2012-12-06
Category : Medical
ISBN : 9781461525462

Get Book

Magnetic Resonance Scanning and Epilepsy by Simon D. Shorvon,D.R. Fish,F. Andermann,G.M. Bydder,H. Stefan Pdf

It was only in 1980 that the first recognisable magnetic resonance images of the human brain were published, by Moore and Holland from Nottingham University in England. There then followed a number of clinical trials of brain imaging, the most notable from the Hammersmith Hospital in London using a system designed by EMI, the original manufacturers of the first CT machines. A true revolution in medicine has ensued; in only a few years there are thousands of scanning units, and magnetic resonance imaging (MRI) has assumed a central importance in medical investigation. It is an extraordinary fact that within a few years of development, the esoteric physics of nuclear spin, angular momentum, and magnetic vector precession were harnessed to provide exquisite images of living anatomy; modem science has no greater tribute. That indisputable king of neurology and the oldest of recorded conditions, epilepsy, has not been untouched by the new technology; indeed, it is our view that the introduction of MRI of electroencephalography (EEG) in the late has been as important to epilepsy as was that 1930s. Now, for the first time, the structural and aetiological basis of the condition is susceptible to thorough investigation, and MRI can provide structural detail to parallel the functional detail of EEG. MRI has the same potential as had EEG over 50 years ago, to provide a new level of understanding of the basic mechanisms, the clinical features and the treatment of epilepsy.

Information Processing in Medical Imaging

Author : Chris Taylor
Publisher : Springer Science & Business Media
Page : 714 pages
File Size : 48,8 Mb
Release : 2003-07-11
Category : Computers
ISBN : 9783540405603

Get Book

Information Processing in Medical Imaging by Chris Taylor Pdf

This book constitutes the refeered proceedings of the 18th Interational Conference on Information Processing in Medical Imaging, IPMI 2003, held in UK, in July 2003. The 57 revised full papers presented were carefully reviewed and selected from submissions. The papers are organized in topical sections shape modeling, shape analysis, segmentation, color, performance characterization, registration and modeling similarity, registration and modeling deformation, cardiac motion, fMRI analysis, and diffusion imaging and tractography.

Quantum Models of Cognition and Decision

Author : Jerome R. Busemeyer
Publisher : Unknown
Page : 407 pages
File Size : 55,8 Mb
Release : 2012
Category : Cognition
ISBN : 1107228999

Get Book

Quantum Models of Cognition and Decision by Jerome R. Busemeyer Pdf

"Much of our understanding of human thinking is based on probabilistic models. This innovative book by Jerome R. Busemeyer and Peter D. Bruza argues that, actually, the underlying mathematical structures from quantum theory provide a much better account of human thinking than traditional models. They introduce the foundations for modeling probabilistic-dynamic systems using two aspects of quantum theory. The first, 'contextuality', is a way to understand interference effects found with inferences and decisions under conditions of uncertainty. The second, 'quantum entanglement', allows cognitive phenomena to be modeled in a non-reductionist way. Employing these principles drawn from quantum theory allows us to view human cognition and decision in a totally new light. Introducing the basic principles in an easy-to-follow way, this book does not assume a physics background or a quantum brain and comes complete with a tutorial and fully worked out applications in important areas of cognition and decision"--

Surfing Uncertainty

Author : Andy Clark
Publisher : Oxford University Press, USA
Page : 425 pages
File Size : 50,6 Mb
Release : 2016
Category : Medical
ISBN : 9780190217013

Get Book

Surfing Uncertainty by Andy Clark Pdf

This title brings together work on embodiment, action, and the predictive mind. At the core is the vision of human minds as prediction machines - devices that constantly try to stay one step ahead of the breaking waves of sensory stimulation, by actively predicting the incoming flow. In every situation we encounter, that complex prediction machinery is already buzzing, proactively trying to anticipate the sensory barrage. The book shows in detail how this strange but potent strategy of self-anticipation ushers perception, understanding, and imagination simultaneously onto the cognitive stage.

Bayesian Rationality

Author : Mike Oaksford,Nick Chater
Publisher : Oxford University Press
Page : 342 pages
File Size : 45,6 Mb
Release : 2007-02-22
Category : Philosophy
ISBN : 9780198524496

Get Book

Bayesian Rationality by Mike Oaksford,Nick Chater Pdf

For almost 2,500 years, the Western concept of what is to be human has been dominated by the idea that the mind is the seat of reason - humans are, almost by definition, the rational animal. In this text a more radical suggestion for explaining these puzzling aspects of human reasoning is put forward.

Bayesian Brain

Author : Kenji Doya,Shin Ishii,Rajesh P. N. Rao,Alexandre Pouget
Publisher : Mit Press
Page : 326 pages
File Size : 40,5 Mb
Release : 2011
Category : Medical
ISBN : 0262516012

Get Book

Bayesian Brain by Kenji Doya,Shin Ishii,Rajesh P. N. Rao,Alexandre Pouget Pdf

Experimental and theoretical neuroscientists use Bayesian approaches to analyze the brain mechanisms of perception, decision-making, and motor control. A Bayesian approach can contribute to an understanding of the brain on multiple levels, by giving normative predictions about how an ideal sensory system should combine prior knowledge and observation, by providing mechanistic interpretation of the dynamic functioning of the brain circuit, and by suggesting optimal ways of deciphering experimental data. Bayesian Brain brings together contributions from both experimental and theoretical neuroscientists that examine the brain mechanisms of perception, decision making, and motor control according to the concepts of Bayesian estimation.After an overview of the mathematical concepts, including Bayes' theorem, that are basic to understanding the approaches discussed, contributors discuss how Bayesian concepts can be used for interpretation of such neurobiological data as neural spikes and functional brain imaging. Next, contributors examine the modeling of sensory processing, including the neural coding of information about the outside world. Finally, contributors explore dynamic processes for proper behaviors, including the mathematics of the speed and accuracy of perceptual decisions and neural models of belief propagation.

The Noisy Brain

Author : Edmund T. Rolls,Gustavo Deco
Publisher : Unknown
Page : 334 pages
File Size : 44,5 Mb
Release : 2010-01-28
Category : Mathematics
ISBN : STANFORD:36105215484721

Get Book

The Noisy Brain by Edmund T. Rolls,Gustavo Deco Pdf

The activity of neurons in the brain is noisy in that the neuronal firing times are random for a given mean rate. The Noisy Brain shows that this is fundamental to understanding many aspects of brain function, including probabilistic decision-making, perception, memory recall, short-term memory, attention, and even creativity. There are many applications too of this understanding, to for example memory and attentional disorders, aging, schizophrenia, and obsessive-compulsive disorder.

Models of the Mind

Author : Grace Lindsay
Publisher : Bloomsbury Publishing
Page : 401 pages
File Size : 50,9 Mb
Release : 2021-03-04
Category : Science
ISBN : 9781472966452

Get Book

Models of the Mind by Grace Lindsay Pdf

The human brain is made up of 85 billion neurons, which are connected by over 100 trillion synapses. For more than a century, a diverse array of researchers searched for a language that could be used to capture the essence of what these neurons do and how they communicate – and how those communications create thoughts, perceptions and actions. The language they were looking for was mathematics, and we would not be able to understand the brain as we do today without it. In Models of the Mind, author and computational neuroscientist Grace Lindsay explains how mathematical models have allowed scientists to understand and describe many of the brain's processes, including decision-making, sensory processing, quantifying memory, and more. She introduces readers to the most important concepts in modern neuroscience, and highlights the tensions that arise when the abstract world of mathematical modelling collides with the messy details of biology. Each chapter of Models of the Mind focuses on mathematical tools that have been applied in a particular area of neuroscience, progressing from the simplest building block of the brain – the individual neuron – through to circuits of interacting neurons, whole brain areas and even the behaviours that brains command. In addition, Grace examines the history of the field, starting with experiments done on frog legs in the late eighteenth century and building to the large models of artificial neural networks that form the basis of modern artificial intelligence. Throughout, she reveals the value of using the elegant language of mathematics to describe the machinery of neuroscience.

The Probabilistic Mind

Author : Nick Chater,Mike Oaksford
Publisher : OUP Oxford
Page : 535 pages
File Size : 50,9 Mb
Release : 2008
Category : Philosophy
ISBN : 9780199216093

Get Book

The Probabilistic Mind by Nick Chater,Mike Oaksford Pdf

The Probabilistic Mind is a follow-up to the influential and highly cited Rational Models of Cognition (OUP, 1998). It brings together developmetns in understanding how, and how far, high-level cognitive processes can be understood in rational terms, and particularly using probabilistic Bayesian methods.

Decisions, Uncertainty, and the Brain

Author : Paul W. Glimcher
Publisher : MIT Press
Page : 404 pages
File Size : 44,9 Mb
Release : 2004-09-17
Category : Medical
ISBN : 0262572273

Get Book

Decisions, Uncertainty, and the Brain by Paul W. Glimcher Pdf

In this provocative book, Paul Glimcher argues that economic theory may provide an alternative to the classical Cartesian model of the brain and behavior. Glimcher argues that Cartesian dualism operates from the false premise that the reflex is able to describe behavior in the real world that animals inhabit. A mathematically rich cognitive theory, he claims, could solve the most difficult problems that any environment could present, eliminating the need for dualism by eliminating the need for a reflex theory. Such a mathematically rigorous description of the neural processes that connect sensation and action, he explains, will have its roots in microeconomic theory. Economic theory allows physiologists to define both the optimal course of action that an animal might select and a mathematical route by which that optimal solution can be derived. Glimcher outlines what an economics-based cognitive model might look like and how one would begin to test it empirically. Along the way, he presents a fascinating history of neuroscience. He also discusses related questions about determinism, free will, and the stochastic nature of complex behavior.