Neuromorphic Circuits: A constructive approach

by Alice C. Parker (Editor), Rick Cattell (Editor)

Overview

This reference text is the result of an evolving course at the University of Southern California on CMOS/Nano Neuromorphic Circuits, taught at graduate level. The book covers early neuromorphic circuits and focuses on circuits in the BioRC project, with examples taken from other concurrent projects. The text begins with an introduction to human neuroscience. It summarizes a short history of neuromorphic circuits and presents an extended discussion of the challenges of building an artificial brain with analog neuromorphic circuits. An approach to neuromorphic circuits taken from Parker’s BioRC project follows. A review of relevant mathematical models of neural behavior is covered, as well as basic neural circuits modeling neurons and synapses. The text contains more advanced neuromorphic circuits and a collection of BioRC approaches to nanotechnologies.

Key Features

• Presents a comprehensive overview of neuromorphic circuits and applications
• Covers neural input circuits, the synapse, and neural processing, the dendritic arbor, in detail
• Offers an overview of the latest research in variable neural behavior and neural systems
• Details the role of nanotechnology in neuromorphic circuits
• Based upon Parker’s class notes from her course taught over the past five years
• Includes end-of-chapter problems and solutions

Product Details

ISBN-13:	9780750350976
Publisher:	Institute of Physics Publishing
Publication date:	11/09/2023
Series:	IPEM-IOP Series in Physics and Engineering in Medicine and Biology
Sold by:	Barnes & Noble
Format:	eBook
Pages:	300
File size:	43 MB
Note:	This product may take a few minutes to download.

About the Author

Alice C. Parker received B.S.E.E. and Ph.D. degrees from North Carolina State University and an M.S.E.E. from Stanford University. Dr. Parker is a Professor Emerita and former Dean’s Professor of Electrical Engineering at the University of Southern California. She has been involved in digital system synthesis research since 1975. Her current research activities are developing electronic neural circuits using nanotechnology models of circuit elements, the preliminary steps necessary to construct a synthetic brain. She and her colleagues produced a synapse containing a carbon nanotube transistor. She has been honored with an NSF Faculty Award for Women Scientists and Engineers. Dr. Parker is a winner of a Viterbi teaching award, an award from South Central Scholars in appreciation of her work in mentoring talented but underrepresented college- bound scholars in the USC University Park neighborhood, an IEEE-USA Award for distinguished Literary Contributions and a mentoring award given by ASEE.

Rick Cattell was most recently an independent consultant in database systems. He previously worked as a Distinguished Engineer at Sun Microsystems, most recently on open source database systems and distributed database scaling. Dr. Cattell was best known for his contributions in database and server software, including database scalability, enterprise Java, object/relational mapping, object-oriented databases, and database interfaces. He is the author of several dozen papers, five books, and eight U.S. patents. At Sun, he instigated the Enterprise Java, Java DB, and Java Blend projects, and was a contributor to a number of Java APIs and products. He previously developed the Cedar DBMS at Xerox PARC, the Sun Simplify database GUI, and SunSoft's CORBA-database integration. He was a co-founder of SQL Access (a predecessor to ODBC), the founder and chair of the Object Data Management Group (ODMG), the co-creator of JDBC, the author of the world's first book on object/relational and object databases, a recipient of the ACM Outstanding PhD Dissertation Award, and an ACM Fellow.

Table of Contents

1 Introduction

2 Introduction to neuromorphic circuits

3 Approach to neuromorphic circuits

4 Mathematical models

5 The axon and the spiking mechanism

6 Neural input circuits—the synapse

7 The passive dendritic arbor

8 Dendritic spiking and dendritic plasticity

9 Variable neural behavior

10 Learning and strengthening

11 Astrocytes

12 The retina

13 The neural code

14 Other neural codes

15 Circuits with nanotechnologies

16 Advanced topics

17 Neuromorphic systems

18 Epilogue