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High-Density Integrated Electrocortical Neural Interfaces

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Release : 2019-08-03
Genre : Science
Kind : eBook
Book Rating : 161/5 ( reviews)

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Book Synopsis High-Density Integrated Electrocortical Neural Interfaces by : Sohmyung Ha

Download or read book High-Density Integrated Electrocortical Neural Interfaces written by Sohmyung Ha. This book was released on 2019-08-03. Available in PDF, EPUB and Kindle. Book excerpt: High-Density Integrated Electrocortical Neural Interfaces provides a basic understanding, design strategies and implementation applications for electrocortical neural interfaces with a focus on integrated circuit design technologies. A wide variety of topics associated with the design and application of electrocortical neural implants are covered in this book. Written by leading experts in the field— Dr. Sohmyung Ha, Dr. Chul Kim, Dr. Patrick P. Mercier and Dr. Gert Cauwenberghs —the book discusses basic principles and practical design strategies of electrocorticography, electrode interfaces, signal acquisition, power delivery, data communication, and stimulation. In addition, an overview and critical review of the state-of-the-art research is included. These methodologies present a path towards the development of minimally invasive brain-computer interfaces capable of resolving microscale neural activity with wide-ranging coverage across the cortical surface. - Written by leading researchers in electrocorticography in brain-computer interfaces - Offers a unique focus on neural interface circuit design, from electrode to interface, circuit, powering, communication and encapsulation - Covers the newest ECoG interface systems and electrode interfaces for ECoG and biopotential sensing

Silicon Integrated High-density Electrocortical and Retinal Neural Interfaces

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Release : 2016
Genre :
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Silicon Integrated High-density Electrocortical and Retinal Neural Interfaces by : Sohmyung Ha

Download or read book Silicon Integrated High-density Electrocortical and Retinal Neural Interfaces written by Sohmyung Ha. This book was released on 2016. Available in PDF, EPUB and Kindle. Book excerpt: Recent interest and initiatives in brain research have driven a worldwide effort towards developing implantable neural interface systems with high spatiotemporal resolution and spatial coverage extending to the whole brain. Electrocorticography (ECoG) promises a minimally invasive, chronically implantable neural interface with resolution and spatial coverage capabilities that, when appropriately scaled, meet the needs of recently proposed brain initiatives. Current ECoG technologies, however, typically rely on cm-sized electrodes and wired operation, severely limiting their resolution and long-term use. The work presented here has advanced micro-electrocorticography (uECoG) technologies for wireless high-density cortical neural interfaces in two main directions: flexible active uECoG arrays; and modular fully integrated uECoG systems. This dissertation presents a systematic design methodology which addresses unique design challenges posed by the extreme densities, form factors and power budgets of these fully implantable neural interface systems, with experimental validation of their performance for neural signal acquisition, stimulation, and wireless powering and data communication. Notable innovations include 1) first demonstration of simultaneous wireless power and data telemetry at 6.78 Mbps data rate over a single 13.56 MHz inductive link; 2) integrated recording from a flexible active electrode ECoG array with 85 dB dynamic range at 7.7 nJ energy per 16-b sample; and 3) the first fully integrated and encapsulated wireless neural-interface-on-chip microsystem for non-contact neural sensing and energy-replenishing adiabatic stimulation delivering 145 uA current at 6 V compliance within 2.25 mm3 volume. In addition, the work presented here on advancing the resolution and coverage of neural interfaces extends further from the cortex to the retina. Despite considerable advances in retinal prostheses over the last two decades, the resolution of restored vision has remained severely limited, well below the 20/200 acuity threshold of blindness. Towards drastic improvements in spatial resolution, this dissertation presents a scalable architecture for retinal prostheses in which each stimulation electrode is directly activated by incident light and powered by a common voltage pulse transferred over a single wireless inductive link. The hybrid optical addressability and electronic powering scheme provides for separate spatial and temporal control over stimulation, and further provides optoelectronic gain for substantially lower light intensity thresholds than other optically addressed retinal prostheses using passive microphotodiode arrays. The architecture permits the use of high-density electrode arrays with ultra-high photosensitive silicon nanowires, obviating the need for excessive wiring and high-throughput data telemetry. Instead, the single inductive link drives the entire array of electrodes through two wires and provides external control over waveform parameters for the common voltage stimulation. A complete system comprising inductive telemetry link, stimulation pulse demodulator, charge-balancing series capacitor, and nanowire-based electrode device is integrated and validated ex vivo on rat retina tissue. Measurements demonstrate control over retinal neural activity both by light and electrical bias, validating the feasibility of the proposed architecture and its system components as an important first step towards a high-resolution optically addressed retinal prosthesis.

High-integration-density Neural Interfaces for High-Spatial-Rrsolution Intracranial EEG Monitoring

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Release : 2013
Genre :
Kind : eBook
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Book Synopsis High-integration-density Neural Interfaces for High-Spatial-Rrsolution Intracranial EEG Monitoring by : Arezu Bagheri

Download or read book High-integration-density Neural Interfaces for High-Spatial-Rrsolution Intracranial EEG Monitoring written by Arezu Bagheri. This book was released on 2013. Available in PDF, EPUB and Kindle. Book excerpt:

Neural Interface Engineering

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Release : 2020-05-04
Genre : Technology & Engineering
Kind : eBook
Book Rating : 545/5 ( reviews)

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Book Synopsis Neural Interface Engineering by : Liang Guo

Download or read book Neural Interface Engineering written by Liang Guo. This book was released on 2020-05-04. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive reference to major neural interfacing technologies used to transmit signals between the physical world and the nervous system for repairing, restoring and even augmenting body functions. The authors discuss the classic approaches for neural interfacing, the major challenges encountered, and recent, emerging techniques to mitigate these challenges for better chronic performances. Readers will benefit from this book’s unprecedented scope and depth of coverage on the technology of neural interfaces, the most critical component in any type of neural prostheses. Provides comprehensive coverage of major neural interfacing technologies; Reviews and discusses both classic and latest, emerging topics; Includes classification of technologies to provide an easy grasp of research and trends in the field.

Multi-channel Signal-processing Integrated Neural Interfaces

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Author :
Release : 2007
Genre :
Kind : eBook
Book Rating : 159/5 ( reviews)

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Book Synopsis Multi-channel Signal-processing Integrated Neural Interfaces by : Joseph N. Y. Aziz

Download or read book Multi-channel Signal-processing Integrated Neural Interfaces written by Joseph N. Y. Aziz. This book was released on 2007. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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