Multi-channel Signal-processing Integrated Neural Interfaces

Multi-channel Signal-processing Integrated Neural Interfaces

Author: Joseph N. Y. Aziz

Publisher:

Published: 2007

Total Pages: 122

ISBN-13: 9780494273159

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THIS thesis presents two 0.35mum CMOS prototypes of multichannel integrated neural interfaces for distributed recording of neural activity in the brain. Each integrated neural interface contains 256 continuous-time recording channels, each comprised of a two-stage programmable gain amplifier and a bandpass filter with tunable cut-off frequencies. A parallel VLSI architecture with in-channel analog memory allows for truly simultaneous signal sampling. In-channel and peripheral switched capacitor circuits perform on-sensory-plane computationally expensive spatio-temporal signal processing in real time for applications such as data compression and pattern recognition. The circuits are optimized for low noise, low power and high density of integration as necessary for implantation. Golden and platinum 3-D electrode arrays are fabricated directly on the die surface for in vitro and in vivo experiments. An implantable microsystem comprised of an integrated neural interface prototype interfaced with a low-power high-throughput VLSI signal processor is validated in off-line epileptic seizure prediction.


Ultra Low-Power Integrated Circuit Design for Wireless Neural Interfaces

Ultra Low-Power Integrated Circuit Design for Wireless Neural Interfaces

Author: Jeremy Holleman

Publisher: Springer Science & Business Media

Published: 2010-10-29

Total Pages: 123

ISBN-13: 1441967273

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This book will describe ultra low-power, integrated circuits and systems designed for the emerging field of neural signal recording and processing, and wireless communication. Since neural interfaces are typically implanted, their operation is highly energy-constrained. This book introduces concepts and theory that allow circuit operation approaching the fundamental limits. Design examples and measurements of real systems are provided. The book will describe circuit designs for all of the critical components of a neural recording system, including: Amplifiers which utilize new techniques to improve the trade-off between good noise performance and low power consumption. Analog and mixed-signal circuits which implement signal processing tasks specific to the neural recording application: Detection of neural spikes Extraction of features that describe the spikes Clustering, a machine learning technique for sorting spikes Weak-inversion operation of analog-domain transistors, allowing processing circuits that reduce the requirements for analog-digital conversion and allow low system-level power consumption. Highly-integrated, sub-mW wireless transmitter designed for the Medical Implant Communications Service (MICS) and ISM bands.


Neural Interface: Frontiers and Applications

Neural Interface: Frontiers and Applications

Author: Xiaoxiang Zheng

Publisher: Springer Nature

Published: 2019-11-15

Total Pages: 250

ISBN-13: 9811320500

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This book focuses on the frontiers of neural interface technology, including hardware, software, neural decoding and encoding, control systems, and system integration. It also discusses applications for neuroprosthetics, neural diseases and neurorobotics, and the toolkits for basic neuroscience. A neural interface establishes a direct communication channel with the central or peripheral nervous system (CNS or PNS), and enables the nervous system to interact directly with the external devices. Recent advances in neuroscience and engineering are speeding up neural interface technology, paving the way for assisting, augmenting, repairing or restoring sensorimotor and other cognitive functions impaired due to neurological disease or trauma, and so improving the quality of life of those affected. Neural interfaces are now being explored in applications as diverse as rehabilitation, accessibility, gaming, education, recreation, robotics and human enhancement. Neural interfaces also represent a powerful tool to address fundamental questions in neuroscience. Recent decades have witnessed tremendous advances in the field, with a huge impact not only in the development of neuroprosthetics, but also in our basic understanding of brain function. Neural interface technology can be seen as a bridge across the traditional engineering and basic neuroscience. This book provides researchers, graduate and upper undergraduate students from a wide range of disciplines with a cutting-edge and comprehensive summary of neural interface engineering research.


Brain-Machine Interface

Brain-Machine Interface

Author: Amir Zjajo

Publisher: Springer

Published: 2016-03-30

Total Pages: 176

ISBN-13: 3319315412

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This book provides a complete overview of significant design challenges in respect to circuit miniaturization and power reduction of the neural recording system, along with circuit topologies, architecture trends, and (post-silicon) circuit optimization algorithms. The introduced novel circuits for signal conditioning, quantization, and classification, as well as system configurations focus on optimized power-per-area performance, from the spatial resolution (i.e. number of channels), feasible wireless data bandwidth and information quality to the delivered power of implantable system.


Multimodal User Interfaces

Multimodal User Interfaces

Author: Dimitros Tzovaras

Publisher: Springer Science & Business Media

Published: 2008-02-27

Total Pages: 321

ISBN-13: 3540783458

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tionship indicates how multimodal medical image processing can be unified to a large extent, e. g. multi-channel segmentation and image registration, and extend information theoretic registration to other features than image intensities. The framework is not at all restricted to medical images though and this is illustrated by applying it to multimedia sequences as well. In Chapter 4, the main results from the developments in plastic UIs and mul- modal UIs are brought together using a theoretic and conceptual perspective as a unifying approach. It is aimed at defining models useful to support UI plasticity by relying on multimodality, at introducing and discussing basic principles that can drive the development of such UIs, and at describing some techniques as proof-of-concept of the aforementioned models and principles. In Chapter 4, the authors introduce running examples that serve as illustration throughout the d- cussion of the use of multimodality to support plasticity.


Signal Processing and Machine Learning for Brain-Machine Interfaces

Signal Processing and Machine Learning for Brain-Machine Interfaces

Author: Toshihisa Tanaka

Publisher: Institution of Engineering and Technology

Published: 2018-09-13

Total Pages: 355

ISBN-13: 1785613987

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Brain-machine interfacing or brain-computer interfacing (BMI/BCI) is an emerging and challenging technology used in engineering and neuroscience. The ultimate goal is to provide a pathway from the brain to the external world via mapping, assisting, augmenting or repairing human cognitive or sensory-motor functions.


Artificial Intelligence Enabled Signal Processing based Models for Neural Information Processing

Artificial Intelligence Enabled Signal Processing based Models for Neural Information Processing

Author: Rajesh Kumar Tripathy

Publisher: CRC Press

Published: 2024-06-06

Total Pages: 227

ISBN-13: 1040028772

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The book provides details regarding the application of various signal processing and artificial intelligence-based methods for electroencephalography data analysis. It will help readers in understanding the use of electroencephalography signals for different neural information processing and cognitive neuroscience applications. The book: Covers topics related to the application of signal processing and machine learning-based techniques for the analysis and classification of electroencephalography signals Presents automated methods for detection of neurological disorders and other applications such as cognitive task recognition, and brain-computer interface Highlights the latest machine learning and deep learning methods for neural signal processing Discusses mathematical details for the signal processing and machine learning algorithms applied for electroencephalography data analysis Showcases the detection of dementia from electroencephalography signals using signal processing and machine learning-based techniques It is primarily written for senior undergraduates, graduate students, and researchers in the fields of electrical engineering, electronics and communications engineering, and biomedical engineering.


Neural Engineering

Neural Engineering

Author: Bin He

Publisher: Springer Science & Business Media

Published: 2013-01-09

Total Pages: 801

ISBN-13: 1461452279

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Neural Engineering, 2nd Edition, contains reviews and discussions of contemporary and relevant topics by leading investigators in the field. It is intended to serve as a textbook at the graduate and advanced undergraduate level in a bioengineering curriculum. This principles and applications approach to neural engineering is essential reading for all academics, biomedical engineers, neuroscientists, neurophysiologists, and industry professionals wishing to take advantage of the latest and greatest in this emerging field.


Issues in Electronic Circuits, Devices, and Materials: 2011 Edition

Issues in Electronic Circuits, Devices, and Materials: 2011 Edition

Author:

Publisher: ScholarlyEditions

Published: 2012-01-09

Total Pages: 2454

ISBN-13: 1464963738

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Issues in Electronic Circuits, Devices, and Materials: 2011 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Electronic Circuits, Devices, and Materials. The editors have built Issues in Electronic Circuits, Devices, and Materials: 2011 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Electronic Circuits, Devices, and Materials in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Electronic Circuits, Devices, and Materials: 2011 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.