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Ultra Low-Power Integrated Circuit Design for Wireless Neural Interfaces (Record no. 10221)

000 -LEADER
fixed length control field 03204nam a22004095i 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140310143332.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 101029s2011 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781441967275
978-1-4419-6727-5
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 621.3815
Edition number 23
264 #1 -
-- New York, NY :
-- Springer New York,
-- 2011.
912 ## -
-- ZDB-2-ENG
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Holleman, Jeremy.
Relator term author.
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title Ultra Low-Power Integrated Circuit Design for Wireless Neural Interfaces
Medium [electronic resource] /
Statement of responsibility, etc by Jeremy Holleman, Fan Zhang, Brian Otis.
300 ## - PHYSICAL DESCRIPTION
Extent VII, 121p. 100 illus.
Other physical details online resource.
520 ## - SUMMARY, ETC.
Summary, etc Micro-power Integrated Circuits for Neural Interfaces Jeremy Holleman Fan Zhang Brian Otis This book describes 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 describes 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. •Covers analog, radio, and signal processing theory and design for ultra low-power circuits, tied together throughout the book to form an entire system; •Provides fundamental requirements of neural recording systems, as well as design techniques for reducing power consumption in low-noise amplifiers; •Includes miniaturized system-integration techniques in the context of ultra low-power circuits; •Uses results from real prototype systems to demonstrate techniques described
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Engineering.
Topical term or geographic name as entry element Computer aided design.
Topical term or geographic name as entry element Systems engineering.
Topical term or geographic name as entry element Engineering.
Topical term or geographic name as entry element Circuits and Systems.
Topical term or geographic name as entry element Computer-Aided Engineering (CAD, CAE) and Design.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Zhang, Fan.
Relator term author.
Personal name Otis, Brian.
Relator term author.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9781441967268
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-4419-6727-5
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type E-Book
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Damaged status Lost status Withdrawn status Current location Full call number
2014-03-28AUM Main Library2014-03-28 2014-03-28 E-Book   AUM Main Library621.3815