Cart (Loading....) | Create Account
Close category search window
 

Modeling constant best delay-sensitive neurons and tracking neurons in the auditory cortex of the FM bat with a back-propagation neural network

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Lin, Z.-B. ; Indiana Univ., Indianapolis, IN, USA ; Chittajallu, S.K. ; Kayalar, S. ; Wong, D.
more authors

Constant delay-sensitive neurons (CDNs) and tracking neurons (TNs) function as delay-dependent multipliers for cross-correlation processing of biosonar signals in the auditory cortex of the FM bat, Myotis lucifugus. Models of these two kinds of neurons using artificial neural networks (ANNs) which implement the back-propagation algorithm are presented. The ANNs were trained using data collected from neurophysiological experiments with an awake bat. Nonlinear transformations and parameters used in the models are discussed. An ANN model is presented for CDNs and another for TNs. The dynamic responses obtained from these models are observed to be comparable with the recorded signals of FM bats during actual hunting

Published in:

Neural Networks for Ocean Engineering, 1991., IEEE Conference on

Date of Conference:

15-17 Aug 1991

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.