Neural Assemblies

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Neural Assemblies

Author : G. Palm
Publisher : Springer Science & Business Media
ISBN 13 : 3642817920
Total Pages : 252 pages
Book Rating : 4.6/5 (428 download)

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Book Synopsis Neural Assemblies by : G. Palm

Download or read book Neural Assemblies written by G. Palm and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: You can't tell how deep a puddle is until you step in it. When I am asked about my profession, I have two ways of answering. If I want a short discussion, I say that I am a mathematician; if I want a long discussion, I say that I try to understand how the human brain works. A long discussion often leads to further questions: What does it mean to understand "how the brain works"? Does it help to be trained in mathematics when you try to understand the brain, and what kind of mathematics can help? What makes a mathematician turn into a neuroscientist? This may lead into a metascientific discussion which I do not like par ticularly because it is usually too far off the ground. In this book I take quite a different approach. I just start explaining how I think the brain works. In the course of this explanation my answers to the above questions will become clear to the reader, and he will perhaps learn some facts about the brain and get some insight into the construc tions of artificial intelligence.

Neural Assemblies

Author : Günther Palm
Publisher : Springer Nature
ISBN 13 : 303100311X
Total Pages : 269 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Neural Assemblies by : Günther Palm

Download or read book Neural Assemblies written by Günther Palm and published by Springer Nature. This book was released on 2022-07-28 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the new edition of Neural Assemblies, the author places his original ideas and motivations within the framework of modern and cognitive neuroscience and gives a short and focused overview of the development of computational neuroscience and artificial neural networks over the last 40 years. In this book the author develops a theory of how the human brain might function. Starting with a motivational introduction to the brain as an organ of information processing, he presents a computational perspective on the basic concepts and ideas of neuroscience research on the underlying principles of brain function. In addition, the reader is introduced to the most important methods from computer science and mathematical modeling that are required for a computational understanding of information processing in the brain. Written by an expert in the field of neural information processing, this book offers a personal historical view of the development of artificial intelligence, artificial neural networks, and computational cognitive neuroscience over the last 40 years, with a focus on the realization of higher cognitive functions rather than more peripheral sensory or motor organization. The book is therefore aimed at students and researchers who want to understand how the basic neuroscientific and computational concepts in the study of brain function have changed over the last decades.

Neural Assemblies

Author : G. Palm
Publisher :
ISBN 13 : 9783642817939
Total Pages : 256 pages
Book Rating : 4.8/5 (179 download)

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Book Synopsis Neural Assemblies by : G. Palm

Download or read book Neural Assemblies written by G. Palm and published by . This book was released on 1982-07-01 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Neural Assemblies

Author : Günther Palm
Publisher : Springer
ISBN 13 : 9783540113669
Total Pages : 248 pages
Book Rating : 4.1/5 (136 download)

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Book Synopsis Neural Assemblies by : Günther Palm

Download or read book Neural Assemblies written by Günther Palm and published by Springer. This book was released on 1982-07-01 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: You can't tell how deep a puddle is until you step in it. When I am asked about my profession, I have two ways of answering. If I want a short discussion, I say that I am a mathematician; if I want a long discussion, I say that I try to understand how the human brain works. A long discussion often leads to further questions: What does it mean to understand "how the brain works"? Does it help to be trained in mathematics when you try to understand the brain, and what kind of mathematics can help? What makes a mathematician turn into a neuroscientist? This may lead into a metascientific discussion which I do not like par ticularly because it is usually too far off the ground. In this book I take quite a different approach. I just start explaining how I think the brain works. In the course of this explanation my answers to the above questions will become clear to the reader, and he will perhaps learn some facts about the brain and get some insight into the construc tions of artificial intelligence.

Estimating Functional Connectivity and Topology in Large-Scale Neuronal Assemblies

Author : Vito Paolo Pastore
Publisher : Springer Nature
ISBN 13 : 3030590429
Total Pages : 87 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Estimating Functional Connectivity and Topology in Large-Scale Neuronal Assemblies by : Vito Paolo Pastore

Download or read book Estimating Functional Connectivity and Topology in Large-Scale Neuronal Assemblies written by Vito Paolo Pastore and published by Springer Nature. This book was released on 2020-11-06 with total page 87 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes a set of novel statistical algorithms designed to infer functional connectivity of large-scale neural assemblies. The algorithms are developed with the aim of maximizing computational accuracy and efficiency, while faithfully reconstructing both the inhibitory and excitatory functional links. The book reports on statistical methods to compute the most significant functional connectivity graph, and shows how to use graph theory to extract the topological features of the computed network. A particular feature is that the methods used and extended at the purpose of this work are reported in a fairly completed, yet concise manner, together with the necessary mathematical fundamentals and explanations to understand their application. Furthermore, all these methods have been embedded in the user-friendly open source software named SpiCoDyn, which is also introduced here. All in all, this book provides researchers and graduate students in bioengineering, neurophysiology and computer science, with a set of simplified and reduced models for studying functional connectivity in in silico biological neuronal networks, thus overcoming the complexity of brain circuits.

Neuronal Dynamics

Author : Wulfram Gerstner
Publisher : Cambridge University Press
ISBN 13 : 1107060834
Total Pages : 591 pages
Book Rating : 4.1/5 (7 download)

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Book Synopsis Neuronal Dynamics by : Wulfram Gerstner

Download or read book Neuronal Dynamics written by Wulfram Gerstner and published by Cambridge University Press. This book was released on 2014-07-24 with total page 591 pages. Available in PDF, EPUB and Kindle. Book excerpt: This solid introduction uses the principles of physics and the tools of mathematics to approach fundamental questions of neuroscience.

Neural Assemblies as Core Elements for Modeling Neural Networks in the Brain

Author : Hesam Setareh
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (11 download)

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Book Synopsis Neural Assemblies as Core Elements for Modeling Neural Networks in the Brain by : Hesam Setareh

Download or read book Neural Assemblies as Core Elements for Modeling Neural Networks in the Brain written by Hesam Setareh and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Mots-clés de l'auteur: cortical neural network ; microcircuits of brain ; neural assembly ; neural oscillations ; spiking activity propagation ; excitation chain ; cell culture.

Neural Darwinism

Author : Gerald M. Edelman
Publisher :
ISBN 13 :
Total Pages : 414 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Neural Darwinism by : Gerald M. Edelman

Download or read book Neural Darwinism written by Gerald M. Edelman and published by . This book was released on 1987-12-06 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the nation's leading neuroscientists presents a radically new view of the function of the brain and the nervous system. Its central idea is that the nervous system in each individual operates as a selective system resembling natural selection in evolution, but operating by different mechanisms. This far-ranging theory of brain functions is bound to stimulate renewed discussion of such philosophical issues as the mind-body problem, the origins of knowledge and the perceptual bases of language. Notes and Index.

Neural Networks and Analog Computation

Author : Hava T. Siegelmann
Publisher : Springer Science & Business Media
ISBN 13 : 146120707X
Total Pages : 193 pages
Book Rating : 4.4/5 (612 download)

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Book Synopsis Neural Networks and Analog Computation by : Hava T. Siegelmann

Download or read book Neural Networks and Analog Computation written by Hava T. Siegelmann and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: The theoretical foundations of Neural Networks and Analog Computation conceptualize neural networks as a particular type of computer consisting of multiple assemblies of basic processors interconnected in an intricate structure. Examining these networks under various resource constraints reveals a continuum of computational devices, several of which coincide with well-known classical models. On a mathematical level, the treatment of neural computations enriches the theory of computation but also explicated the computational complexity associated with biological networks, adaptive engineering tools, and related models from the fields of control theory and nonlinear dynamics. The material in this book will be of interest to researchers in a variety of engineering and applied sciences disciplines. In addition, the work may provide the base of a graduate-level seminar in neural networks for computer science students.

Sequential Activation of Neural Assemblies by Single Pyramidal Neurons in a Three-layered Cortex

Author : Mike Hemberger
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (112 download)

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Book Synopsis Sequential Activation of Neural Assemblies by Single Pyramidal Neurons in a Three-layered Cortex by : Mike Hemberger

Download or read book Sequential Activation of Neural Assemblies by Single Pyramidal Neurons in a Three-layered Cortex written by Mike Hemberger and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

THE FORMATION OF CELL ASSEMBLIES: A NEURAL NETWORK SIMULATION.

Author : MICHAEL SCOTT LANDY
Publisher :
ISBN 13 :
Total Pages : 299 pages
Book Rating : 4.:/5 (682 download)

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Book Synopsis THE FORMATION OF CELL ASSEMBLIES: A NEURAL NETWORK SIMULATION. by : MICHAEL SCOTT LANDY

Download or read book THE FORMATION OF CELL ASSEMBLIES: A NEURAL NETWORK SIMULATION. written by MICHAEL SCOTT LANDY and published by . This book was released on 1981 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: which might allow for more reverberatory assembly activity and more successful learning.

Thalamocortical Assemblies

Author : Alain Destexhe
Publisher : Oxford University Press, USA
ISBN 13 : 9780198524250
Total Pages : 0 pages
Book Rating : 4.5/5 (242 download)

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Book Synopsis Thalamocortical Assemblies by : Alain Destexhe

Download or read book Thalamocortical Assemblies written by Alain Destexhe and published by Oxford University Press, USA. This book was released on 2001 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews the molecular components and ionic mechanisms underlying sleep oscillations, including the properties of ion channels, synaptic receptors and the patterns of interconnectivity among thalamic and cortical neurons. These properties have been used to build detailed computational models of thalamocortical assemblies and their collective behavior.

Fundamentals of Neural Network Modeling

Author : Randolph W. Parks
Publisher : MIT Press
ISBN 13 : 9780262161756
Total Pages : 450 pages
Book Rating : 4.1/5 (617 download)

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Book Synopsis Fundamentals of Neural Network Modeling by : Randolph W. Parks

Download or read book Fundamentals of Neural Network Modeling written by Randolph W. Parks and published by MIT Press. This book was released on 1998 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides an introduction to the neural network modeling of complex cognitive and neuropsychological processes. Over the past few years, computer modeling has become more prevalent in the clinical sciences as an alternative to traditional symbol-processing models. This book provides an introduction to the neural network modeling of complex cognitive and neuropsychological processes. It is intended to make the neural network approach accessible to practicing neuropsychologists, psychologists, neurologists, and psychiatrists. It will also be a useful resource for computer scientists, mathematicians, and interdisciplinary cognitive neuroscientists. The editors (in their introduction) and contributors explain the basic concepts behind modeling and avoid the use of high-level mathematics. The book is divided into four parts. Part I provides an extensive but basic overview of neural network modeling, including its history, present, and future trends. It also includes chapters on attention, memory, and primate studies. Part II discusses neural network models of behavioral states such as alcohol dependence, learned helplessness, depression, and waking and sleeping. Part III presents neural network models of neuropsychological tests such as the Wisconsin Card Sorting Task, the Tower of Hanoi, and the Stroop Test. Finally, part IV describes the application of neural network models to dementia: models of acetycholine and memory, verbal fluency, Parkinsons disease, and Alzheimer's disease. Contributors J. Wesson Ashford, Rajendra D. Badgaiyan, Jean P. Banquet, Yves Burnod, Nelson Butters, John Cardoso, Agnes S. Chan, Jean-Pierre Changeux, Kerry L. Coburn, Jonathan D. Cohen, Laurent Cohen, Jose L. Contreras-Vidal, Antonio R. Damasio, Hanna Damasio, Stanislas Dehaene, Martha J. Farah, Joaquin M. Fuster, Philippe Gaussier, Angelika Gissler, Dylan G. Harwood, Michael E. Hasselmo, J, Allan Hobson, Sam Leven, Daniel S. Levine, Debra L. Long, Roderick K. Mahurin, Raymond L. Ownby, Randolph W. Parks, Michael I. Posner, David P. Salmon, David Servan-Schreiber, Chantal E. Stern, Jeffrey P. Sutton, Lynette J. Tippett, Daniel Tranel, Bradley Wyble

Computational Neuroscience

Author : Eric L. Schwartz
Publisher : MIT Press
ISBN 13 : 9780262691642
Total Pages : 468 pages
Book Rating : 4.6/5 (916 download)

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Book Synopsis Computational Neuroscience by : Eric L. Schwartz

Download or read book Computational Neuroscience written by Eric L. Schwartz and published by MIT Press. This book was released on 1993-08-26 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: The thirty original contributions in this book provide a working definition of"computational neuroscience" as the area in which problems lie simultaneously within computerscience and neuroscience. They review this emerging field in historical and philosophical overviewsand in stimulating summaries of recent results. Leading researchers address the structure of thebrain and the computational problems associated with describing and understanding this structure atthe synaptic, neural, map, and system levels.The overview chapters discuss the early days of thefield, provide a philosophical analysis of the problems associated with confusion between brainmetaphor and brain theory, and take up the scope and structure of computationalneuroscience.Synaptic-level structure is addressed in chapters that relate the properties ofdendritic branches, spines, and synapses to the biophysics of computation and provide a connectionbetween real neuron architectures and neural network simulations.The network-level chapters take upthe preattentive perception of 3-D forms, oscillation in neural networks, the neurobiologicalsignificance of new learning models, and the analysis of neural assemblies and local learningrides.Map-level structure is explored in chapters on the bat echolocation system, cat orientationmaps, primate stereo vision cortical cognitive maps, dynamic remapping in primate visual cortex, andcomputer-aided reconstruction of topographic and columnar maps in primates.The system-level chaptersfocus on the oculomotor system VLSI models of early vision, schemas for high-level vision,goal-directed movements, modular learning, effects of applied electric current fields on corticalneural activity neuropsychological studies of brain and mind, and an information-theoretic view ofanalog representation in striate cortex.Eric L. Schwartz is Professor of Brain Research and ResearchProfessor of Computer Science, Courant Institute of Mathematical Sciences, New York UniversityMedical Center. Computational Neuroscience is included in the System Development FoundationBenchmark Series.

The Brain from Inside Out

Author : György Buzsáki MD, PhD
Publisher : Oxford University Press
ISBN 13 : 0190905395
Total Pages : 464 pages
Book Rating : 4.1/5 (99 download)

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Book Synopsis The Brain from Inside Out by : György Buzsáki MD, PhD

Download or read book The Brain from Inside Out written by György Buzsáki MD, PhD and published by Oxford University Press. This book was released on 2019-04-18 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: Is there a right way to study how the brain works? Following the empiricist's tradition, the most common approach involves the study of neural reactions to stimuli presented by an experimenter. This 'outside-in' method fueled a generation of brain research and now must confront hidden assumptions about causation and concepts that may not hold neatly for systems that act and react. György Buzsáki's The Brain from Inside Out examines why the outside-in framework for understanding brain function have become stagnant and points to new directions for understanding neural function. Building upon the success of Rhythms of the Brain, Professor Buzsáki presents the brain as a foretelling device that interacts with its environment through action and the examination of action's consequence. Consider that our brains are initially filled with nonsense patterns, all of which are gibberish until grounded by action-based interactions. By matching these nonsense "words" to the outcomes of action, they acquire meaning. Once its circuits are "calibrated" by action and experience, the brain can disengage from its sensors and actuators, and examine "what happens if" scenarios by peeking into its own computation, a process that we refer to as cognition. The Brain from Inside Out explains why our brain is not an information-absorbing coding device, as it is often portrayed, but a venture-seeking explorer constantly controlling the body to test hypotheses. Our brain does not process information: it creates it.

On Driven Neural Assemblies

Author : Guillaume Lajoie
Publisher :
ISBN 13 :
Total Pages : 147 pages
Book Rating : 4.:/5 (89 download)

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Book Synopsis On Driven Neural Assemblies by : Guillaume Lajoie

Download or read book On Driven Neural Assemblies written by Guillaume Lajoie and published by . This book was released on 2013 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this dissertation, I address mathematical problems arising from the field of theo- retical neuroscience that share a common theme: temporally driven neural networks treated as perturbed, coupled nonlinear dynamical systems. Guided by this theme, I present projects falling in two main categories. The first relates to synchrony, or lack thereof, in neural populations receiving a common input. This is intimately linked to studies of neural pathologies such as Parkinson's disease and their treatments via neuroprosthetics. Here, synchronous dynamics within certain neural nuclei disrupt normal brain functions and electrical stimulation can restore them. How do these networks synchronize? How can we break this synchrony with (global) input stimulation? I use a variety of tools such as geometric perturbation theory, discrete dynamical systems and numerical simulations to approach these questions. The second set of projects is motivated by neural coding, or the ability of neural networks to encode information from a stimulus that drives their dynamics. Encoding of a signal by a dynamical system strongly depends on its reliability: the ability of a system to reproduce similar output, given the same stimulus, on many trials where initial conditions change. Many large networks such as the ones found in cortex are believed to be chaotic and hence highly sensitive to small changes in initial state. How does such chaos influence the reliability of spikes in large driven networks? What are the implications of the resulting unreliability on the neural coding of stimuli? I use mathematical techniques from random dynamical systems and information theory, along with large-scale numerical simulations, to address these questions for large networks of spiking neurons.

Spike-timing dependent plasticity

Author : Henry Markram
Publisher : Frontiers E-books
ISBN 13 : 2889190439
Total Pages : 575 pages
Book Rating : 4.8/5 (891 download)

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Book Synopsis Spike-timing dependent plasticity by : Henry Markram

Download or read book Spike-timing dependent plasticity written by Henry Markram and published by Frontiers E-books. This book was released on with total page 575 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hebb's postulate provided a crucial framework to understand synaptic alterations underlying learning and memory. Hebb's theory proposed that neurons that fire together, also wire together, which provided the logical framework for the strengthening of synapses. Weakening of synapses was however addressed by "not being strengthened", and it was only later that the active decrease of synaptic strength was introduced through the discovery of long-term depression caused by low frequency stimulation of the presynaptic neuron. In 1994, it was found that the precise relative timing of pre and postynaptic spikes determined not only the magnitude, but also the direction of synaptic alterations when two neurons are active together. Neurons that fire together may therefore not necessarily wire together if the precise timing of the spikes involved are not tighly correlated. In the subsequent 15 years, Spike Timing Dependent Plasticity (STDP) has been found in multiple brain brain regions and in many different species. The size and shape of the time windows in which positive and negative changes can be made vary for different brain regions, but the core principle of spike timing dependent changes remain. A large number of theoretical studies have also been conducted during this period that explore the computational function of this driving principle and STDP algorithms have become the main learning algorithm when modeling neural networks. This Research Topic will bring together all the key experimental and theoretical research on STDP.