Michael J. Healy

27 papers B 13Journal 8Unranked 5
YearRankTypeTitle / Venue / Authors
2019 J jnl
Episodic memory: A hierarchy of spatiotemporal concepts.
Neural Networks
Michael J. Healy, Thomas P. Caudell
2018 J jnl
Local and distributed concept representation via colimits: An example.
Neurocomputing
Michael J. Healy, Thomas P. Caudell
2012 — conf
An Autonomous Distal Reward Learning Architecture for Embodied Agents.
INNS-WC
Shawn E. Taylor, Michael J. Healy, Thomas P. Caudell
2011 B conf
Retrospective learning of spatial invariants during object classification by embodied autonomous neural agents.
IJCNN
Thomas P. Caudell, Cheir T. Burch, Mustafa Zengin, Nathan Gauntt, Michael J. Healy
2009 J jnl
Applying category theory to improve the performance of a neural architecture.
Neurocomputing
Michael J. Healy, Richard D. Olinger, Robert J. Young, Shawn E. Taylor, Thomas P. Caudell, Kurt W. Larson
2009 — conf
Memory in Silico: Building a Neuromimetic Episodic Cognitive Model.
CSIE (5)
Shawn E. Taylor, Craig M. Vineyard, Michael J. Healy, Thomas P. Caudell, Neal J. Cohen, Patrick D. Watson, Stephen J. Verzi, J. Daniel Morrow, Michael L. Bernard, Howard Eichenbaum
2009 B conf
Temporal semantics: An Adaptive Resonance Theory approach.
IJCNN
Shawn E. Taylor, Michael L. Bernard, Stephen J. Verzi, James D. Morrow, Craig M. Vineyard, Michael J. Healy, Thomas P. Caudell
2009 B conf
Temporal semantics: An extended definition for neural morphisms.
IJCNN
Michael J. Healy, Thomas P. Caudell
2007 B conf
An Application of Category-Theoretic Design Methods to the Control of a Simulated Robot.
IJCNN
Dulany B. Weaver, Michael J. Healy, Thomas P. Caudell
2007 B conf
Categorical Mapping from Ontology to Neural Network: Initial Studies of Simple Neural Networks' Concept Capacity.
IJCNN
Shawn E. Taylor, Michael J. Healy, Thomas P. Caudell
2007 B conf
Comparison of Adaptive Resonance Theory Neural Networks for Astronomical Region of Interest Detection and Noise Characterization.
IJCNN
Robert J. Young, Mike Ritthaler, Peter Zimmer, John McGraw, Michael J. Healy, Thomas P. Caudell
2007 — ch.
Generalized Lattices Express Parallel Distributed Concept Learning.
Computational Intelligence Based on Lattice Theory
Michael J. Healy, Thomas P. Caudell
2006 B conf
Generalized Lattices Express Parallel Distributed Concept Learning.
FUZZ-IEEE
Michael J. Healy, Thomas P. Caudell
2006 B conf
Knowledge Representation and Possible Worlds for Neural Networks.
IJCNN
Michael J. Healy, Thomas P. Caudell
2005 B conf
Modification of the ART-1 architecture based on category theoretic design principles.
IJCNN
Michael J. Healy, Richard D. Olinger, Robert J. Young, Thomas P. Caudell, Kurt W. Larson
2003 B conf
From categorical semantics to neural network design.
IJCNN
Michael J. Healy, Thomas P. Caudell, Yunhai Xiao
2003 J jnl
eLoom and Flatland: specification, simulation and visualization engines for the study of arbitrary hierarchical neural architectures.
Neural Networks
Thomas P. Caudell, Yunhai Xiao, Michael J. Healy
2003 B conf
eLoom: a specification, simulation and visualization engine for modeling arbitrary hierarchical neural architectures.
IJCNN
Yunhai Xiao, Thomas Preston Caudell, Michael J. Healy
2000 — conf
Category Theory Applied to Neural Modeling and Graphical Representations.
IJCNN (3)
Michael J. Healy
2000 — conf
Hierarchical ARTMAP.
IJCNN (6)
Stephen J. Verzi, Gregory L. Heileman, Michael Georgiopoulos, Michael J. Healy
1999 J jnl
A Topological Semantics for Rule Extraction with Neural Networks.
Connect. Sci.
Michael J. Healy
1999 B conf
Colimits in memory: category theory and neural systems.
IJCNN
Michael J. Healy
1999 B conf
Studies of generalization for the LAPART-2 architecture.
IJCNN
Thomas P. Caudell, Michael J. Healy
1998 J jnl
Guaranteed two-pass convergence for supervised and inferential learning.
IEEE Trans. Neural Networks
Michael J. Healy, Thomas P. Caudell
1997 J jnl
Acquiring rule sets as a product of learning in a logical neural architecture.
IEEE Trans. Neural Networks
Michael J. Healy, Thomas P. Caudell
1997 — conf
The generalization capabilities of ARTMAP.
ICNN
Gregory L. Heileman, Michael Georgiopoulos, Michael J. Healy, Stephen J. Verzi
1993 J jnl
A neural architecture for pattern sequence verification through inferencing.
IEEE Trans. Neural Networks
Michael J. Healy, Thomas P. Caudell, Scott D. G. Smith