Silicon Integrated High-density Electrocortical and Retinal Neural Interfaces


Book Description

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-Density Integrated Electrocortical Neural Interfaces


Book Description

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 Neuromorphic Neural Interfaces


Book Description

Neuromorphic engineering pursues the design of electronic systems emulating function and structural organization of biological neural systems in silicon integrated circuits that embody similar physical principles. The work in this dissertation extends neuromorphic engineering to neural interfaces that directly couple biological neurons to their equivalents in silicon integrated circuits, dynamically probing their function through silicon emulation of biophysical chemical and electrical synapses. Our aim in this work is to enable study of hybrid networks of biological and silicon neurons with highly configurable topology and biophysically based properties, providing windows on the inner workings of biological neural circuits from the cellular to the network levels, and hence promoting new synergies between theory in computational neuroscience and experimentation in systems neuroscience. In the first part, membrane dynamics and ion channel kinetics of biological neurons, obtained from experimental electrophysiological data, were accurately mapped onto equivalent continuous-time analog dynamics in NeuroDyn, a highly reconfigurable neuromorphic silicon microchip. To this end, songbird individual neuron dynamics from intracellular neural recordings were extracted, modeled, and then mapped onto silicon neurons in NeuroDyn by data assimilation to estimate and configure biophysical parameters. Further, the NeuroDyn framework was extended to serve as a versatile tool for biophysical dynamic clamp electrophysiology, connecting biological and silicon neurons through synthetic virtual chemical synapses. To this end, the response properties of five different types of chemical synapses, including both excitatory (AMPA, NMDA) and inhibitory (GABAA, GABAC, Glycine) ionotropic receptors were reproduced with neuromorphic integrated circuits. In addition, electrical synapses (gap junctions) were emulated in a network of four silicon neurons. The second part entails the design, implementation and functional validation of high-density multi-channel neural interfaces, establishing bidirectional electrical communication between silicon artificial neurons and biological neurons at very large scale. Our work produced a neural interface system-on-chip (NISoC) with 1,024-channels of simultaneous electrical recording and stimulation at record noise-energy efficiency, with sub-[mu]W power consumption per channel at 6 [mu]Vrms input referred voltage noise over 12.5 kHz signal bandwidth. Integrating an array of 32 × 32 electrodes on a 2mm × 2mm chip in 65nm CMOS, the NISoC supports both voltage and current clamping through a programmable interface, ranging 100~dB in voltage, and 120~dB in current, for high-resolution high-throughput electrophysiology. Further, we demonstrated extended functionality for scalable multichannel in vitro intracellular electrophysiology in a second 256-channel hybridized NiSoC with sharp-tipped Pt nanowire electrodes deposited on the silicon top-metal surface, recording action potentials from rat cortical neurons cultured directly on top of the chip. These advances combine to enable bidirectional communication between artificial neurons and biological neurons in vitro, with precise probing of neural function and flexible control over synaptic interactions ranging from intracellular dynamics of individual cells to network dynamics comprising potentially thousands of neurons. In addition to applications in closed-loop electrophysiology, in vitro neuromorphic neural interface can be used as testbed for prototyping the next generation of neuroprosthetics.




Neural Interface Engineering


Book Description

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.




Neural Interfacing


Book Description

In the past 50 years there has been an explosion of interest in the development of technologies whose end goal is to connect the human brain and/or nervous system directly to computers. Once the subject of science fiction, the technologies necessary to accomplish this goal are rapidly becoming reality. In laboratories around the globe, research is being undertaken to restore function to the physically disabled, to replace areas of the brain damaged by disease or trauma and to augment human abilities. Building neural interfaces and neuro-prosthetics relies on a diverse array of disciplines such as neuroscience, engineering, medicine and microfabrication just to name a few. This book presents a short history of neural interfacing (N.I.) research and introduces the reader to some of the current efforts to develop neural prostheses. The book is intended as an introduction for the college freshman or others wishing to learn more about the field. A resource guide is included for students along with a list of laboratories conducting N.I. research and universities with N.I. related tracks of study. Table of Contents: Neural Interfaces Past and Present / Current Neuroprosthesis Research / Conclusion / Resources for Students




Design of a High Density Optoelectronic Retinal Neural Interface


Book Description

Degenerative retinal diseases such as Age-Related Macular Degeneration (AMD) are among the leading causes of irreversible blindness today for which there are no effective treatments to recover lost vision. Retinal prostheses have been developed to replace the lost photo-sensing with implanted optoelectronic pixels that transduce light into electrical current to stimulate patterns of retinal activity. A fundamental goal of retinal prosthesis design is the realization of a densely packed stimulating array that can restore high visual acuity. However, the efficacy of optoelectronic subretinal stimulation for high visual acuity retinal prosthesis is not as well understood, particularly because passive photodiodes used in clinical implants today lack sufficient photoresponsivity ( 1 A/W) to produce sufficient photocurrent to stimulate retinal neurons at size scales suitable for high density retinal interfaces. Here, we evaluated an optoelectronic approach to retinal prosthesis that offers a unique solution to the problem of minimizing the photosensor, current source, and stimulating electrode size for high density retinal interfaces. First, we characterized the feasibility of retinal stimulation with a fully implantable nanowire based subretinal prosthesis on the basis of electrically evoked potentials measured in the visual cortex of an in vivo rabbit model. We then established criteria for stimulation at a single pixel level using an ex vivo model of photoreceptor cell degeneration. We determined stimulation thresholds and dynamic range of current required to evoke spiking responses in retinal ganglion cells within the charge injection limits of 10-30[mu]m iridium oxide electrodes. We showed that the minimum size for effective stimulation approaches 20[mu]m diameter. Next, to meet these established current requirements we developed a novel optoelectronic pixel architecture consisting of a vertically integrated photo junction-field-effect transistor (Photo-JFET) and neural stimulating electrode. We demonstrated that optically addressed Photo-JFET pixels can utilize phototransistive gain (100 A/W) to produce a broad range of neural stimulation current. At 13[mu]m pixel size, a single Photo-JFET pixel can effectively stimulate retinal neurons ex vivo. The compact nature of the Photo-JFET pixel can enable high resolution retinal prostheses with the smallest reported optoelectronic pixel size to help restore high visual acuity in patients with degenerative retinal disease.




Optical Neural Interfaces


Book Description




Energy-Efficient Integrated Neural Interfaces for Retinal Prostheses


Book Description

Advances in neural engineering are enabling targeted neural recording and stimulation towards high-resolution brain computer interfaces. High-throughput bidirectional communication to the brain is paramount to reach translational impact with neural prostheses. Useful vision restoration through microelectronic retinal prosthesis implants continues to be a difficult challenge despite commendable attempts. Achieving practical control of thousands and millions of electrode channels calls for architectural advances to improve the scalability of biopotential recording, power, wireless communications, and biocompatible interconnect. This dissertation presents an interdisciplinary approach towards high-resolution retinal prostheses that overcomes these challenges. The requirements and interactions between biopotential recording circuits and electrodes are formulated in the context of neural recording. Next, a resonant inductive power transfer link for retinal prostheses is designed and validated. The effect of ocular movements on the efficiency of power transfer is demonstrated in a constructed phantom frame. Subsequently, a novel integrated circuit is designed and fabricated to provide highly energy-efficient power delivery and waveform control to drive a nanowire-based microphotodiode subretinal electrode array. Energy efficiency and scalability of the power and communication link is accomplished through external control over global stimulation waveform parameters. Efficiency improvements derive from two main approaches: adiabatic unregulated power delivery to the stimulator, and duty cycling of the external transmitter. Global charge metering and calibration minimize the required data transmission and system operating frequency for bidirectional communication and charge-balanced stimulation. The dissertation concludes with in vivo validation of the nanowire microelectrode array transducer in rabbits using the principle of synchronous detection of cerebral cortex visual evoked biopotential signals. The various components of this dissertation present a full-stack development of a system to remediate blindness and advance the field of neural interfaces.




Research Anthology on Emerging Technologies and Ethical Implications in Human Enhancement


Book Description

Along with the introduction of technology in nearly every facet of human life comes the question of the ethical side of using technology to improve the human condition, whether that be physically or mentally. The capabilities of human enhancement technologies have created a dual-sided approach to discussing human enhancement: the critical approach of attempting to reach human perfection and the ethics within that idea and the endless capabilities of technology that have greatly impacted the medical field. It is essential to discuss both aspects within these emerging technologies, whether as separate entities or as cohesive units. Ranging from disease detection and treatment to implants and prosthetics to robotics and genetic engineering, human enhancement technologies are widespread and multi-purposed. By going beyond the capabilities of human hands, these technologies have propelled modern medicine and healthcare to new levels that have allowed humans to face new treatments or assistive technologies not seen before. The Research Anthology on Emerging Technologies and Ethical Implications in Human Enhancement covers the primary technologies and tools being used in medicine and healthcare along with discussions on the ethics of enhancing the human body. Topics covered include prosthetics and implants, robotics, human disorders/diseases and treatments and smart technologies, along with law and theory. This publication serves as a valuable reference work for doctors, medical professionals, researchers, students, professionals, and practitioners involved in fields that include ethics, medicine, computer science, robotics, genetics, assistive technologies, nanotechnology, biomedical engineering, and biotechnology.




Emerging Capabilities and Applications of Wireless Power Transfer


Book Description

Technologies that enable powering a device without the need for being connected with a cable to the grid are gaining attention in recent years due to the advantages that they provide. They are a commodity to users and provide additional functionalities that promote autonomy among the devices. Emerging Capabilities and Applications of Wireless Power Transfer is an essential reference source that analyzes the different applications of wireless power transfer technologies and how the technologies are adapted to fulfill the electrical, magnetic, and design-based requirements of different applications. Featuring research on topics such as transfer technologies, circuital analysis, and inductive power transfer, this book is a vital resource for academicians, electrical engineers, scientists, researchers, and industry professionals seeking coverage on device power and creating autonomy through alternative power options for devices.