Toward Replacement Parts for the Brain : Implantable Biomimetic Electronics as Neural Prostheses (Hardcover)
暫譯: 朝向大腦替代零件:可植入生物仿生電子裝置作為神經義肢 (精裝本)
Theodore W. Berger, Dennis L. Glanzman
- 出版商: MIT
- 出版日期: 2005-06-24
- 售價: $1,980
- 貴賓價: 9.8 折 $1,940
- 語言: 英文
- 頁數: 480
- 裝訂: Hardcover
- ISBN: 0262025779
- ISBN-13: 9780262025775
-
相關分類:
生物資訊 Bioinformatics、資訊科學、電子學 Eletronics
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商品描述
Description:
The continuing development of implantable neural prostheses signals a new era in bioengineering and neuroscience research. This collection of essays outlines current advances in research on the intracranial implantation of devices that can communicate with the brain in order to restore sensory, motor, or cognitive functions. The contributors explore the creation of biologically realistic mathematical models of brain function, the production of microchips that incorporate those models, and the integration of microchip and brain function through neuron-silicon interfaces. Recent developments in understanding the computational and cognitive properties of the brain and rapid advances in biomedical and computer engineering both contribute to this cutting-edge research.
The book first examines the development of sensory system prostheses -- cochlear, retinal, and visual implants -- as the best foundation for considering the extension of neural prostheses to the central brain region. The book then turns to the complexity of neural representations, offering, among other approaches to the topic, one of the few existing theoretical frameworks for modeling the hierarchical organization of neural systems. Next, it examines the challenges of designing and controlling the interface between neurons and silicon, considering the necessity for bidirectional communication and for multiyear duration of the implant. Finally, the book looks at hardware implementations and explores possible ways to achieve the complexity of neural function in hardware, including the use of VLSI and photonic technologies.
Theodore W. Berger is Professor of Biomedical Engineering in the School of Engineering at the University of Southern California.
Dennis L. Glanzman is Program Chief for Theoretical and Computational Neuroscience at the National Institute of Mental Health (NIMH).
Table of Contents:
Preface vii I SENSORY SYSTEMS 1 1 We Made the Deaf Hear. Now What?
Gerald E. Loeb3 2 Microelectronic Array for Stimulation of Large Retinal Tissue Areas
Dean Scribner, M. Humayun, Brian Justus, Charles Merritt, R. Klein, J. G. Howard, M. Peckerar, F. K. Perkins, E. Margalit, Kah-Guan Au Eong, J. Weiland, E. de Juan, Jr., J. Finch, R. Graham, C. Trautfield and S. Taylor15 3 Imaging Two-Dimensional Neural Activity Patterns in the Cat Visual Cortex using a Multielectrode Array
David J. Warren, Richard A. Normann and Alexei Koulakov43 II NEURAL REPRESENTATIONS 67 4 Brain Parts on Multiple Scales: Examples from the Auditory System
Ellen Covey69 5 A Protocol for Reading the Mind
Howard Eichenbaum91 6 Cognitive Processes in Replacement Brain Parts: A Code for All Reasons
Robert Hampson, John Simeral and Sam A. Deadwyler111 7 Mathematical Modeling as a Basic Tool for Neuromimetic Circuits
Gilbert A. Chauvet, P. Chauvet and Theodore W. Berger129 8 Real-Time Spatiotemporal Databases to Support Human Motor Skills
Shahram Ghandeharizadeh159 III NEURON/SILICON INTERFACES 175 9 Long-Term Functional Contact between Nerve Cell Networks and Microelectrode Arrays
Guenter W. Gross, Emese Dian, Edward G. Keefer, Alexandra Gramowski and Simone Stuewe177 10 Building Minimalistic Hybrid Neuroelectric Devices
James J. Hickman205 11 The Biotic/Abiotic Interface: Achievements and Foreseeable Challenges
Roberta Diaz Brinton, Walid Sousou, Michel Baudry, Mark Thompson and Theodore W. Berger221 IV HARDWARE IMPLEMENTATIONS 239 12 Brain-Implantable Biomimetic Electronics as a Neural Prosthesis for Hippocampal Memory Function
Theodore W. Berger, Roberta Diaz Brinton, Vasilis Z. Marmarelis, Bing J. Sheu and Armand R. Tanguay, Jr.241 13 Brain Circuit Implementation: High-Precision Computation from Low-Precision Components
Richard Granger277 14 Hybrid Electronic/Photonic Multichip Modules for Vision and Neural Prosthetic Applications
Armand R. Tanguay, Jr. and B. Keith Jenkins295 15 Reconfigurable Processors for Neural Prostheses
Jose Mumbru, Krishna V. Shenoy, George Panotopoulos, Suat Ay, Xin An, Fai Mok and Demetri Psaltis335 16 The Coming Revolution: The Merging of Computational Neural Science and Semiconductor Engineering
Dan Hammerstorm369 Contributors 385 Index 389
商品描述(中文翻譯)
描述:
可植入神經義肢的持續發展標誌著生物工程和神經科學研究的新時代。這本論文集概述了在顱內植入能夠與大腦通信的裝置的研究進展,旨在恢復感官、運動或認知功能。貢獻者探討了生物學上真實的數學模型的創建、這些模型所整合的微晶片的生產,以及通過神經元-矽界面實現微晶片與大腦功能的整合。對大腦計算和認知特性的理解的最新進展,以及生物醫學和計算機工程的快速發展,均促進了這一前沿研究。
本書首先檢視感官系統義肢的發展——耳蝸、視網膜和視覺植入物——作為考慮將神經義肢擴展到中央大腦區域的最佳基礎。接著,本書轉向神經表徵的複雜性,提供了針對該主題的幾種方法中的一種,即為神經系統的層次組織建模的少數現有理論框架之一。然後,書中探討了設計和控制神經元與矽之間界面的挑戰,考慮到雙向通信的必要性以及植入物的多年度持續性。最後,本書關注硬體實現,探索在硬體中實現神經功能複雜性的可能方法,包括使用VLSI和光子技術。
Theodore W. Berger是南加州大學工程學院生物醫學工程的教授。
Dennis L. Glanzman是美國國立心理健康研究所(NIMH)理論與計算神經科學計畫的負責人。
目錄:
前言
I 感官系統
1 我們讓失聰者聽見。接下來該怎麼辦?
Gerald E. Loeb
2 用於刺激大面積視網膜組織的微電子陣列
Dean Scribner, M. Humayun, Brian Justus, Charles Merritt, R. Klein, J. G. Howard, M. Peckerar, F. K. Perkins, E. Margalit, Kah-Guan Au Eong, J. Weiland, E. de Juan, Jr., J. Finch, R. Graham, C. Trautfield 和 S. Taylor
3 使用多電極陣列成像貓視覺皮層的二維神經活動模式
David J. Warren, Richard A. Normann 和 Alexei Koulakov
II 神經表徵
4 多尺度的大腦部位:來自聽覺系統的例子
Ellen Covey
5 一種讀取心智的協議
Howard Eichenbaum
6 替代大腦部位中的認知過程:一個通用的代碼
Robert Hampson, John Simeral 和 Sam A. Deadwyler
7 數學建模作為神經模擬電路的基本工具
Gilbert A. Chauvet, P. Chauvet 和 Theodore W. Berger
8 支持人類運動技能的實時時空數據庫
Shahram Ghandeharizadeh
III 神經元/矽界面
9 神經細胞網絡與微電極陣列之間的長期功能接觸
Guenter W. Gross, Emese Dian, Edward G. Keefer, Alexandra Gramowski 和 Simone Stuewe
10 建造簡約的混合神經電氣裝置
James J. Hickman
11 生物/非生物界面:成就與可預見的挑戰
Roberta Diaz Brinton, Walid Sousou, Michel Baudry, Mark Thompson 和 Theodore W. Berger
IV 硬體實現
12 作為海馬記憶功能的神經義肢的腦植入生物模擬電子學
Theodore W. Berger, Roberta Diaz Brinton, Vasilis Z. Marmarelis, Bing J. Sheu 和 Armand R. Tanguay, Jr.
13 腦電路實現:從低精度元件中獲得高精度計算
Richard Granger
14 用於視覺和神經義肢應用的混合電子/光子多晶片模組
Armand R. Tanguay, Jr. 和 B. Keith Jenkins