CLSWeb Main
Caltech Library System
Electronic Theses
                  About | Browse | Search | Caltech Student Instructions

Sarpeshkar, Rahul (1997-04-03) Efficient precise computation with noisy components : extrapolating from an electronic cochlea to the brain. http://resolver.caltech.edu/CaltechETD:etd-08092005-104717


Type of Document Dissertation
Author Sarpeshkar, Rahul
URN etd-08092005-104717
Persistent URL http://resolver.caltech.edu/CaltechETD:etd-08092005-104717
Title Efficient precise computation with noisy components : extrapolating from an electronic cochlea to the brain
Degree PhD
Option Computation and Neural Systems
Advisory Committee
Advisor Name Title
Carver Mead Committee Chair
Christof Koch Committee Member
John Morgan Allman Committee Member
Richard F. Lyon Committee Member
Yaser S. Abu-Mostafa Committee Member
Keywords
  • none
Date of Defense 1997-04-03
Availability unrestricted
Abstract
Low-power wide-dynamic-range systems are extremely hard to build. The cochlea is one of the most awesome examples of such a system: It can sense sounds over 12 orders of magnitude in intensity, with an estimated power dissipation of only a few tens of microwatts.

We describe an analog electronic cochlea that processes sounds over 6 orders of magnitude in intensity, while dissipating less than 0.5mW. This 117-stage, 100Hz-10Khz cochlea has the widest dynamic range of any artificial cochlea built to date. This design, using frequency-selective gain adaptation in a low-noise traveling-wave amplifier architecture, yields insight into why the human cochlea uses a traveling-wave mechanism to sense sounds, instead of using bandpass filters.

We propose that, more generally, the computation that is most efficient in its use of resources is an intimate hybrid of analog and digital computation. For maximum efficiency, the information and information-processing resources of the hybrid form of computation must be distributed over many wires, with an optimal signal-to-noise ratio per wire. These results suggest that it is likely that the brain computes in a hybrid fashion, and that an underappreciated and important reason for the efficiency of the human brain, which only consumes 12W, is the hybrid and distributed nature of its architecture.

Files
  Filename       Size       Approximate Download Time (Hours:Minutes:Seconds) 
 
 28.8 Modem   56K Modem   ISDN (64 Kb)   ISDN (128 Kb)   Higher-speed Access 
  Sarpeshkar_R_1997.pdf 8.73 Mb 00:40:23 00:20:46 00:18:10 00:09:05 00:00:46

Browse All Available ETDs by ( Author | Option )

If you have more questions or technical problems, please Contact the Caltech Library System.