Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Mary Lou Padgett"'
Autor:
John L. Johnson, Mary Lou Padgett
Publikováno v:
IEEE Transactions on Neural Networks. 10:480-498
The pulse coupled neural network (PCNN) models are described. The linking field modulation term is shown to be a universal feature of any biologically grounded dendritic model. Applications and implementations of PCNN's are reviewed. Application base
Publikováno v:
Brain Research Protocols. 3:161-172
This protocol describes the use of optical imaging and artificial neural networks to analyze the complex patterns of transsynaptic transfer of WGA-HRP from olfactory bulbar axon terminals to olfactory tubercle projection neurons. This constitutes a u
Publikováno v:
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 381:502-507
This paper presents the implementation of the Dynamic Decay Adjustment (DDA) algorithm in a CNAPS parallel computer system having 128 processing nodes. The DDA algorithm has several inherent advantages, and the implementation of it in the CNAPS syste
Publikováno v:
Computer Standards & Interfaces. 16:185-203
Computational Intelligence is an emerging technology of keen interest to the developers of computer standards and interfaces. Coherent communications among the diverse set of users of computational AI is necessary for the protection of all parties an
Autor:
Thaddeus Roppel, Mary Lou Padgett
Publikováno v:
SIMULATION. 58:295-304
Artificial neural networks simulate biologi cal processes in an intriguing manner. Ideas gleaned from the study of neurophysiology and animal behavior have become realizable in recent years. The advent of computers capable of rapidly executing massiv
Publikováno v:
IJCNN
This paper addresses the issue of data analysis for real-time identification of volatile chemicals in a portable sensor unit. One targeted application is breath alcohol detection, but there are quite a few other potential applications in areas as div
Publikováno v:
IJCNN
Based on neural structure (not physiology) observed in clinical experiments, an odor image can be constructed for analysis with a cutting-edge image processing procedure termed pulse coupled neural networks factoring (PCNNf). Enhancement of an odor i
Publikováno v:
1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).
We show how the multi-wire proportional chamber (a particle detector developed for high-energy physics experiments), can be used for student education in digital X-ray imaging. It is further discussed how the system can be extended as a digital X-ray
Publikováno v:
1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).
This paper focuses on novel approaches to olfactory sensor signal analysis: 1) PCNN focusing, 2) wavelet characterization and 3) radial basis function detection of anomalies. Novel decision aide approaches are developed to facilitate design of routin
Publikováno v:
Proceedings of the IECON'97 23rd International Conference on Industrial Electronics, Control, and Instrumentation (Cat. No.97CH36066).
A recurrent back-propagation neural algorithm is trained to classify nine odors. The algorithm is capable of correctly identifying the odors regardless of the time sequence of presentation. The classification is performed in near-real time and is bas