Michael J. Healy

Publication Activity (10 Years)

Years Active: 1993-2019
Publications (10 Years): 2

Top Topics

Cognitive Psychology

Language Understanding

Concept Hierarchy

Episodic Memory

Top Venues

Neural Networks

Publications

Michael J. Healy, Thomas P. Caudell
Episodic memory: A hierarchy of spatiotemporal concepts. Neural Networks 120 (2019)
Michael J. Healy, Thomas P. Caudell
Local and distributed concept representation via colimits: An example. Neurocomputing 314 (2018)
Shawn E. Taylor, Michael J. Healy, Thomas P. Caudell
An Autonomous Distal Reward Learning Architecture for Embodied Agents. INNS-WC (2012)
Thomas P. Caudell, Cheir T. Burch, Mustafa Zengin, Nathan Gauntt, Michael J. Healy
Retrospective learning of spatial invariants during object classification by embodied autonomous neural agents. IJCNN (2011)
Shawn E. Taylor, Michael L. Bernard, Stephen J. Verzi, James D. Morrow, Craig M. Vineyard, Michael J. Healy, Thomas P. Caudell
Temporal semantics: An Adaptive Resonance Theory approach. IJCNN (2009)
Michael J. Healy, Thomas P. Caudell
Temporal semantics: An extended definition for neural morphisms. IJCNN (2009)
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
Memory in Silico: Building a Neuromimetic Episodic Cognitive Model. CSIE (5) (2009)
Michael J. Healy, Richard D. Olinger, Robert J. Young, Shawn E. Taylor, Thomas P. Caudell, Kurt W. Larson
Applying category theory to improve the performance of a neural architecture. Neurocomputing 72 (13-15) (2009)
Robert J. Young, Mike Ritthaler, Peter Zimmer, John McGraw, Michael J. Healy, Thomas P. Caudell
Comparison of Adaptive Resonance Theory Neural Networks for Astronomical Region of Interest Detection and Noise Characterization. IJCNN (2007)
Shawn E. Taylor, Michael J. Healy, Thomas P. Caudell
Categorical Mapping from Ontology to Neural Network: Initial Studies of Simple Neural Networks' Concept Capacity. IJCNN (2007)
Dulany B. Weaver, Michael J. Healy, Thomas P. Caudell
An Application of Category-Theoretic Design Methods to the Control of a Simulated Robot. IJCNN (2007)
Michael J. Healy, Thomas P. Caudell
Generalized Lattices Express Parallel Distributed Concept Learning. FUZZ-IEEE (2006)
Michael J. Healy, Thomas P. Caudell
Knowledge Representation and Possible Worlds for Neural Networks. IJCNN (2006)
Thomas P. Caudell, Yunhai Xiao, Michael J. Healy
eLoom and Flatland: specification, simulation and visualization engines for the study of arbitrary hierarchical neural architectures. Neural Networks 16 (5-6) (2003)
Michael J. Healy
Category Theory Applied to Neural Modeling and Graphical Representations. IJCNN (3) (2000)
Stephen J. Verzi, Gregory L. Heileman, Michael Georgiopoulos, Michael J. Healy
Hierarchical ARTMAP. IJCNN (6) (2000)
Michael J. Healy
A Topological Semantics for Rule Extraction with Neural Networks. Connect. Sci. 11 (1) (1999)
Thomas P. Caudell, Michael J. Healy
Studies of generalization for the LAPART-2 architecture. IJCNN (1999)
Michael J. Healy
Colimits in memory: category theory and neural systems. IJCNN (1999)
Michael J. Healy, Thomas P. Caudell
Guaranteed two-pass convergence for supervised and inferential learning. IEEE Trans. Neural Networks 9 (1) (1998)
Michael J. Healy, Thomas P. Caudell
Acquiring rule sets as a product of learning in a logical neural architecture. IEEE Trans. Neural Networks 8 (3) (1997)
Gregory L. Heileman, Michael Georgiopoulos, Michael J. Healy, Stephen J. Verzi
The generalization capabilities of ARTMAP. ICNN (1997)
Michael J. Healy, Thomas P. Caudell, Scott D. G. Smith
A neural architecture for pattern sequence verification through inferencing. IEEE Trans. Neural Networks 4 (1) (1993)