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Author: Miguel A. L. Nicolelis Publisher: CRC Press ISBN: 142000641X Category : Medical Languages : en Pages : 308
Book Description
Extensively updated and expanded, this second edition of a bestseller distills the current state-of-the-science and provides the nuts and bolts foundation of the methods involved in this rapidly growing science. With contributions from pioneering researchers, it includes microwire array design for chronic neural recordings, new surgical techniques for chronic implantation, microelectrode microstimulation of brain tissue, multielectrode recordings in the somatosensory system and during learning, as well as recordings from the central gustatory-reward pathways. It explores the use of Brain-Machine Interface to restore neurological function and proposes conceptual and technical approaches to human neural ensemble recordings in the future.
Author: Miguel A. L. Nicolelis Publisher: CRC Press ISBN: 142000641X Category : Medical Languages : en Pages : 308
Book Description
Extensively updated and expanded, this second edition of a bestseller distills the current state-of-the-science and provides the nuts and bolts foundation of the methods involved in this rapidly growing science. With contributions from pioneering researchers, it includes microwire array design for chronic neural recordings, new surgical techniques for chronic implantation, microelectrode microstimulation of brain tissue, multielectrode recordings in the somatosensory system and during learning, as well as recordings from the central gustatory-reward pathways. It explores the use of Brain-Machine Interface to restore neurological function and proposes conceptual and technical approaches to human neural ensemble recordings in the future.
Author: Howard B. Eichenbaum Publisher: Wiley-Liss ISBN: Category : Medical Languages : en Pages : 296
Book Description
The distributed coding hypothesis —the view that complex cognitive functions such as visual perception or memory formation are the work of large networks of neurons in areas of the cerebral cortex —is widely accepted in contemporary neuroscience. Yet only in recent years have tools emerged that can monitor the electrophysiological activity of neuron ensembles in the cortical areas of awake, behaving animals. The use of these multichannel recording techniques in biological network analysis is changing the way scientists view brain function. These methods also offer the possibility of a direct test of the distributed coding hypothesis. Neuronal Ensembles: Strategies for Recording and Decoding presents a comprehensive treatment of multichannel recording techniques —how to apply them and how to analyze the vast amounts of data they generate. Composed of contributions by leading neuroscientists at the forefront of this technology, the book covers groundbreaking work in multichannel microelectrode technology, analyses of single neuron spike trains, and ensemble analysis of cell populations. The authors outline established techniques, offer practical tips on developing new methods, and share their ideas for further brain research. Topics covered include: Extracellular recording and analysis of neural activity The relationship between neuronal codes and cortical organization Cell assemblies and cognitive function Neuronal population coding Motor cortical information processing Detection and identification of ensemble codes in the motor cortex Ensemble recordings and the nature of stimulus representation in hippocampal cognitive maps Methods, results, and issues related to recording neural ensembles Neuronal ensemble dynamics in the hippocampus and neocortex during sleep and waking Behavioral, electrophysiological, and genetic approaches to the study of synaptic plasticity and memory Neuronal Ensembles: Strategies for Recording and Decoding is an important reference for researchers, graduate students, and postdoctoral fellows in all areas of neuroscience, cognitive neuroscience, and bioengineering.
Author: Antonio Giuliano Zippo Publisher: Ledizioni ISBN: 8895994574 Category : Mathematics Languages : en Pages : 157
Book Description
Neuronal cells (neurons) mainly transmit signals by action potentials or spikes.Neuronal electrical activity is recorded from experimental animals bymicroelectrodesplaced in specific brain areas. These electrochemical fast phenomenaoccur as all-or-none events and can be analyzed as boolean sequences. Followingthis approach, several computational analyses reported most variable neuronalbehaviors expressed through a large variety of firing patterns [13]. Thesepatternshave been modeled as symbolic strings with a number of different techniques[23, 55]The results obtained with these methods come (i) from Ventrobasal ThalamicNuclei (VB) and Somatosensory Cortex (SSI) in Chronic Pain Animals (CPAs), (ii) from Primary Visual (V1) and (SSI) in rat Cortices and, finally, (iii) fromIL human Thalamus Nuclei in patients suffering from states of disorderedconsciousnesslike Persistent Vegetative State (PVS) and Minimum Conscious State(MCS).
Author: Emili Balaguer-Ballester Publisher: Frontiers Media SA ISBN: 2889454371 Category : Languages : en Pages : 152
Book Description
A classical view of neural computation is that it can be characterized in terms of convergence to attractor states or sequential transitions among states in a noisy background. After over three decades, is this still a valid model of how brain dynamics implements cognition? This book provides a comprehensive collection of recent theoretical and experimental contributions addressing the question of stable versus transient neural population dynamics from complementary angles. These studies showcase recent efforts for designing a framework that encompasses the multiple facets of metastability in neural responses, one of the most exciting topics currently in systems and computational neuroscience.
Author: Tor Sverre Lande Publisher: Springer Science & Business Media ISBN: 0792381580 Category : Technology & Engineering Languages : en Pages : 462
Book Description
Neuromorphic Systems Engineering: Neural Networks in Silicon emphasizes three important aspects of this exciting new research field. The term neuromorphic expresses relations to computational models found in biological neural systems, which are used as inspiration for building large electronic systems in silicon. By adequate engineering, these silicon systems are made useful to mankind. Neuromorphic Systems Engineering: Neural Networks in Silicon provides the reader with a snapshot of neuromorphic engineering today. It is organized into five parts viewing state-of-the-art developments within neuromorphic engineering from different perspectives. Neuromorphic Systems Engineering: Neural Networks in Silicon provides the first collection of neuromorphic systems descriptions with firm foundations in silicon. Topics presented include: large scale analog systems in silicon neuromorphic silicon auditory (ear) and vision (eye) systems in silicon learning and adaptation in silicon merging biology and technology micropower analog circuit design analog memory analog interchipcommunication on digital buses £/LIST£ Neuromorphic Systems Engineering: Neural Networks in Silicon serves as an excellent resource for scientists, researchers and engineers in this emerging field, and may also be used as a text for advanced courses on the subject.
Author: Jeffery A. Winer Publisher: Springer Science & Business Media ISBN: 1441900748 Category : Science Languages : en Pages : 711
Book Description
There has been substantial progress in understanding the contributions of the auditory forebrain to hearing, sound localization, communication, emotive behavior, and cognition. The Auditory Cortex covers the latest knowledge about the auditory forebrain, including the auditory cortex as well as the medial geniculate body in the thalamus. This book will cover all important aspects of the auditory forebrain organization and function, integrating the auditory thalamus and cortex into a smooth, coherent whole. Volume One covers basic auditory neuroscience. It complements The Auditory Cortex, Volume 2: Integrative Neuroscience, which takes a more applied/clinical perspective.
Author: A. Ravishankar Rao Publisher: Springer Science & Business Media ISBN: 1461407249 Category : Medical Languages : en Pages : 234
Book Description
A significant amount of effort in neural modeling is directed towards understanding the representation of information in various parts of the brain, such as cortical maps [6], and the paths along which sensory information is processed. Though the time domain is integral an integral aspect of the functioning of biological systems, it has proven very challenging to incorporate the time domain effectively in neural network models. A promising path that is being explored is to study the importance of synchronization in biological systems. Synchronization plays a critical role in the interactions between neurons in the brain, giving rise to perceptual phenomena, and explaining multiple effects such as visual contour integration, and the separation of superposed inputs. The purpose of this book is to provide a unified view of how the time domain can be effectively employed in neural network models. A first direction to consider is to deploy oscillators that model temporal firing patterns of a neuron or a group of neurons. There is a growing body of research on the use of oscillatory neural networks, and their ability to synchronize under the right conditions. Such networks of synchronizing elements have been shown to be effective in image processing and segmentation tasks, and also in solving the binding problem, which is of great significance in the field of neuroscience. The oscillatory neural models can be employed at multiple scales of abstraction, ranging from individual neurons, to groups of neurons using Wilson-Cowan modeling techniques and eventually to the behavior of entire brain regions as revealed in oscillations observed in EEG recordings. A second interesting direction to consider is to understand the effect of different neural network topologies on their ability to create the desired synchronization. A third direction of interest is the extraction of temporal signaling patterns from brain imaging data such as EEG and fMRI. Hence this Special Session is of emerging interest in the brain sciences, as imaging techniques are able to resolve sufficient temporal detail to provide an insight into how the time domain is deployed in cognitive function. The following broad topics will be covered in the book: Synchronization, phase-locking behavior, image processing, image segmentation, temporal pattern analysis, EEG analysis, fMRI analyis, network topology and synchronizability, cortical interactions involving synchronization, and oscillatory neural networks. This book will benefit readers interested in the topics of computational neuroscience, applying neural network models to understand brain function, extracting temporal information from brain imaging data, and emerging techniques for image segmentation using oscillatory networks
Author: Eirini Papagiakoumou Publisher: Springer Nature ISBN: 1071627643 Category : Medical Languages : en Pages : 424
Book Description
This open access volume provides an overview of the latest methods used to study neuronal function with all-optical experimental approaches, where light is used for both stimulation and monitoring of neuronal activity. The chapters in this book cover topics over a broad range, from fundamental background information in both physiology and optics in the context of all-optical neurophysiology experiments, to the design principles and hardware implementation of optical methods used for photoactivation and imaging. In the Neuromethods series style, chapters include the kind of detail and key advice from the specialists needed to get successful results in your laboratory. Comprehensive and cutting-edge, All-Optical Methods to Study Neuronal Function is a valuable resource for researchers in various disciplines such as physics, engineering, and neuroscience. This book will serve as a guide to establish useful references for groups starting out in this field, and provide insight on the optical systems, actuators, and sensors. This is an open access book.
Author: Mary Torregrossa Publisher: Academic Press ISBN: 0128123311 Category : Medical Languages : en Pages : 308
Book Description
Neural Mechanisms of Addiction is the only book available that synthesizes the latest research in the field into a single, accessible resource covering all aspects of how addiction develops and persists in the brain. The book summarizes our most recent understanding on the neural mechanisms underlying addiction. It also examines numerous biobehavioral aspects of addiction disorders, such as reinforcement learning, reward, cognitive dysfunction, stress, and sleep and circadian rhythms that are not covered in any other publication. Readers with find the most up-to-date information on which to build a foundation for their future research in this expanding field. Combining chapters from leading researchers and thought leaders, this book is an indispensable guide for students and investigators engaged in addiction research. - Transcends multiple neural, neurochemical and behavioral domains - Summarizes advances in the field of addiction research since the advent of optogenetics - Discusses the most current, leading theories of addiction, including molecular mechanisms and dopamine mechanisms
Author: Miguel A. L. Nicolelis
Author: Miguel A. L. Nicolelis
Author: Howard B. Eichenbaum
Author: Antonio Giuliano Zippo
Author: Emili Balaguer-Ballester
Author: Tor Sverre Lande
Author: Jeffery A. Winer
Author: A. Ravishankar Rao
Author: Pradeep J. N. Chhaya
Author: Eirini Papagiakoumou
Author: Mary Torregrossa