Michael J. Healy

According to our database, Michael J. Healy authored at least 24 papers between 1993 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Episodic memory: A hierarchy of spatiotemporal concepts.

Michael J. Healy, Thomas P. Caudell

Neural Networks, 2019

2018

Local and distributed concept representation via colimits: An example.

Michael J. Healy, Thomas P. Caudell

Neurocomputing, 2018

2012

An Autonomous Distal Reward Learning Architecture for Embodied Agents.

Shawn E. Taylor, Michael J. Healy, Thomas P. Caudell

Proceedings of the 3rd International Neural Network Society Winter Conference, 2012

2011

Retrospective learning of spatial invariants during object classification by embodied autonomous neural agents.

Thomas P. Caudell, Cheir T. Burch, Mustafa Zengin, Nathan Gauntt, Michael J. Healy

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2009

Applying category theory to improve the performance of a neural architecture.

Michael J. Healy, Richard D. Olinger, Robert J. Young, Shawn E. Taylor, Thomas P. Caudell, Kurt W. Larson

Neurocomputing, 2009

Temporal semantics: An Adaptive Resonance Theory approach.

Shawn E. Taylor, Michael L. Bernard, Stephen J. Verzi, James D. Morrow, Craig M. Vineyard, Michael J. Healy, Thomas P. Caudell

Proceedings of the International Joint Conference on Neural Networks, 2009

Temporal semantics: An extended definition for neural morphisms.

Michael J. Healy, Thomas P. Caudell

Proceedings of the International Joint Conference on Neural Networks, 2009

Memory in Silico: Building a Neuromimetic Episodic Cognitive Model.

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

Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009

2007

Generalized Lattices Express Parallel Distributed Concept Learning.

Michael J. Healy, Thomas P. Caudell

Proceedings of the Computational Intelligence Based on Lattice Theory, 2007

Comparison of Adaptive Resonance Theory Neural Networks for Astronomical Region of Interest Detection and Noise Characterization.

Robert J. Young, Mike Ritthaler, Peter Zimmer, John McGraw, Michael J. Healy, Thomas P. Caudell

Proceedings of the International Joint Conference on Neural Networks, 2007

An Application of Category-Theoretic Design Methods to the Control of a Simulated Robot.

Dulany B. Weaver, Michael J. Healy, Thomas P. Caudell

Proceedings of the International Joint Conference on Neural Networks, 2007

Categorical Mapping from Ontology to Neural Network: Initial Studies of Simple Neural Networks' Concept Capacity.

Shawn E. Taylor, Michael J. Healy, Thomas P. Caudell

Proceedings of the International Joint Conference on Neural Networks, 2007

2006

Knowledge Representation and Possible Worlds for Neural Networks.

Michael J. Healy, Thomas P. Caudell

Proceedings of the International Joint Conference on Neural Networks, 2006

Generalized Lattices Express Parallel Distributed Concept Learning.

Michael J. Healy, Thomas P. Caudell

Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

2003

eLoom and Flatland: specification, simulation and visualization engines for the study of arbitrary hierarchical neural architectures.

Thomas P. Caudell, Yunhai Xiao, Michael J. Healy

Neural Networks, 2003

2000

Hierarchical ARTMAP.

Stephen J. Verzi, Gregory L. Heileman, Michael Georgiopoulos, Michael J. Healy

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Category Theory Applied to Neural Modeling and Graphical Representations.

Michael J. Healy

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999

A Topological Semantics for Rule Extraction with Neural Networks.

Michael J. Healy

Connect. Sci., 1999

Colimits in memory: category theory and neural systems.

Michael J. Healy

Proceedings of the International Joint Conference Neural Networks, 1999

Studies of generalization for the LAPART-2 architecture.

Thomas P. Caudell, Michael J. Healy

Proceedings of the International Joint Conference Neural Networks, 1999

1998

Guaranteed two-pass convergence for supervised and inferential learning.

Michael J. Healy, Thomas P. Caudell

IEEE Trans. Neural Networks, 1998

1997

Acquiring rule sets as a product of learning in a logical neural architecture.

Michael J. Healy, Thomas P. Caudell

IEEE Trans. Neural Networks, 1997

The generalization capabilities of ARTMAP.

Gregory L. Heileman, Michael Georgiopoulos, Michael J. Healy, Stephen J. Verzi

Proceedings of International Conference on Neural Networks (ICNN'97), 1997

1993

A neural architecture for pattern sequence verification through inferencing.

Michael J. Healy, Thomas P. Caudell, Scott D. G. Smith

IEEE Trans. Neural Networks, 1993