General Contact Information
The University of New Mexico
Albuquerque High Performance Computing Center
Galles Building ~ 1601 Central Avenue NE
Albuquerque, New Mexico 87131
Research Interests
Nonsynaptic Communication
Modeling Simple Visual Processing Systems
Neural Networks
Scientific Visualization
Publications
K. G. Haines, ``A Parallel Artificial Neural Network Model of
the Lamina Ganglionaris of Musca domestica
that Considers Electrical Nonsynaptic Communication'',
Ph.D. Dissertation, University of New Mexico, December, 2000.
K. G. Haines, B. A. Pearlmutter, J. A. Moya, K. Edlund, T. P. Caudell,
``Visualizing Communication Between Neurons
in the Lamina Ganglionaris of the Housefly'',
Proceedings of the International Joint
Conference on Neural Networks , July 2000.
K. G. Haines, J. A. Moya, T. P. Caudell,
``Modeling Nonsynaptic Communication Between Neurons
in the Lamina Ganglionaris of the Housefly'',
Proceedings of the International Joint
Conference on Neural Networks , July 1999.
download pdf and
download animation
K. G. Haines, P. Alsing, T. P. Caudell,
``Motet: A Paradigm for Integrating Message Passing Interface
Routines Into Khoros On IBM SP Parallel Machines'',
Proceedings of the 1997 Khoral Research Inc. Symposium,
Albuquerque, NM, pp. 145-153, March 1997.
T. Brotherton, T. Pollard, K. G. Haines,
``Echocardiogram Structures and Tissue Classification using
Hierarchial Neural Network'',
Proceedings 1993 IEEE Conference on Engineering and Biology ,
IEEE Press, New York, 1993.
J. M. McInerney, K. G. Haines, S. Biafore, R. Hecht-Nielson,
``Backpropagation Error Surfaces Can Have Local Minima'',
Proceedings of the IEEE 1990 International Joint Conference on
Neural Networks, Vol. 2, pp 164, 1990.
J. M. McInerney, K. G. Haines, S. Biafore, R. Hecht-Nielson,
``Backpropagation Error Surfaces of Multi layer Networks
Can Have Local Minima'', UCSD Dept of Computer Science
Technical Report (CS89-157), October 1989.
K. G. Haines, R. Hecht-Nielson,
``A BAM with Increased Information Storage Capacity"
Proceedings of the IEEE 1988 International Conference on
Neural Networks, Vol. 1, pp. 181-190, 1988.