Maida Home Page

Dr. Maida is an associate professor at the Center for Advanced Computer Studies and the Institute of Cognitive Science at the University of Louisiana at Lafayette.

He may be contacted at:

Dr. Anthony S. Maida	Associate Professor of Computer Science
The Center for Advanced Computer Studies
P.O. Box 44330	Email: maida@cacs.louisiana.edu
The University of Louisiana at Lafayette	Office: Advanced Computer Technology Building, Rm 355
Lafayette, LA 70504–4330	Phone: (337) 482–6308
U.S.A.	Fax: (337) 482–5791

Education:

B.A., Mathematics, State University of New York at Buffalo, 1973;
Ph.D., Psychology, State University of New York at Buffalo, 1980;
M.S., Computer Science, State University of New York at Buffalo, 1981;
Postdoctoral Fellowship, Cognitive Science, Brown University, 1981-83;
Postdoctoral Fellowship, Cognitive Science, University of California, Berkeley, 1983-84.

His CV is available here.

Research interest:

Dr. Maida seeks to understand the brain has a thinking machine and, accordingly, his research interests lie within the subject of computational neuroscience. Computational neuroscience conceptualizes the brain as a parallel computer that is built from biological hardware. The hardware consists of neurons and their interconnections. Biologists can measure many aspects of neural function but they encounter great difficulties in directly measuring how these neurons work together as a unified system. Computer simulations and mathematical analysis are used as a means to try to fill in these gaps and to generate new ideas and hypotheses about how the various brain subsystems work, singly, and in concert, to form a unified mind.

There are also practical sides to this subject. Is it possible to reverse engineer the brain to build an artificial intelligence system capable of human-like perception or thinking? Can we construct brain/machine interfaces to assist humans who are handicaped, such as paraplegics or the visually impaired? Is it possible to develop brain simulations of mental illnesses, such as bipolar disorder or schizophrenia?

SELECTED PUBLICATIONS

Modeling Melody Recognition Using a Cohort Network
Naresh N. Vempala and Anthony S. Maida
7th Triennial Conference of the European Society for the Cognitive Sciences of Music (ESCOM), Jyvaskyla, Finland, August 12-16, 2009.
Accessible online here.
Modeling Melody Recognition Using a Sequence Recognition Neural Network with Meta-Level Processes
Naresh N. Vempala and Anthony S. Maida
Proc Intl Joint Conf on Neural Networks (IJCNN), Atlanta, GA, June 14-19, 2009, 3204-3211.
Sequential Hierarchical Recruitment Learning in a Network of Spiking Neurons
Derek James and Anthony S. Maida
Proc Intl Joint Conf on Neural Networks (IJCNN), Atlanta, GA, June 14-19, 2009, 1407-1413.
Using Parallel GPU Architecture for Simulation of Planar I/F Networks
Jan-Phillip Tiesel and Anthony S. Maida
Proc Intl Joint Conf on Neural Networks (IJCNN), Atlanta, GA, June 14-19, 2009, 3118-3123.
Using TD Learning to Simulate Working Memory Performance in a Model of the Prefrontal Cortex and Basal Ganglia
Ahmed Moustafa and Anthony S. Maida
Cognitive Systems Research, 2007, 8, 262-281.
Preprint is here.
Accessible online here.
Subgoal-based Local Navigation and Obstacle Avoidance Using a Grid-Distance Field
A. Maida, S. Golconda, P. Mejia, A. Lakhotia, C. Cavanaugh
International Journal of Vehicle Autonomous Systems (IJVAS), 2006, 4(2-4), 122-142.
Preprint is here.
CajunBot: Architecture and Algorithms
A. Lakhotia, S. Golconda, A. Maida, P. Mejia, A. Puntambeker, G. Seetharaman, S. Wilson
Journal of Field Robotics, 2006, 23(8), 555-578.
Accessible online here.
Synaptic Noise as a Means of Implementing Weight-perturbation Learning
Benjamin A. Rowland, Anthony S. Maida, and Istvan S. N. Berkeley
Connection Science, 2006, 18(1), 69-79.
Accessible online here.
A Stochastic Population Approach to the Problem of Stable Recruitment Hierarchies in Spiking Neural Networks
Cengiz Günay and Anthony S. Maida
Biological Cybernetics, 2006, 94, 33-45.
Accessible online here.
Using Temporal Binding for Hierarchical Recruitment of Conjunctive Concepts over Delayed Lines
Cengiz Günay and Anthony S. Maida
Neurocomputing, 2006, 69(4-6), 317-367.
Accessible online here.
Spatiotemporal Novelty Detection Using Resonance Networks
Benjamin Rowland and Anthony S. Maida
Proceedings of the 17th Annual Florida AI Research Society Conference
Miami Beach, FL, May 2004, pp. 676-681.
Temporal Binding as an Inducer for Connectionist Recruitment over Delayed Lines
Cengiz Günay and Anthony S. Maida
Neural Networks, 2003, 16(5-6), 593-600.
Available here.
Using Temporal Binding for Connectionist Recruitment Learning over Delayed Lines
Cengiz Günay and Anthony S. Maida
Proceeding of the International Joint Conference on Neural Networks
Portland, OR, July 2003, 224-229.
The Required Measures of Phase Segregation in Distributed Cortical Processing
Cengiz Günay, Anthony S. Maida
Proceeding of the International Joint Conference on Neural Networks
Washington, DC, July 2001, 290-295.
Simulation of Planar I/F Networks with Delayed Connections
Anthony S. Maida, Benjamin A. Rowland, and Cengiz Günay
Proceeding of the International Joint Conference on Neural Networks
Washington, DC, July 2001, 302-307.
Available here.
Neural Maps for Mobile Robot Navigation
Michail G. Lagoudakis and Anthony S. Maida
Proceeding of the International Joint Conference on Neural Networks
Washington, DC, July 1999.
Description-based Communication for Autonomous Agents under Ideal Conditions
Anthony S. Maida and Shaohua Tang
Journal of Experimental and Theoretical Artificial Intelligence, 1997, 9(1), 103-135.
Available here.
Referent Misidentification and Recovery Among Communicating Agents
Anthony S. Maida and Shaohua Tang
Proceedings of the Second International Conference on Multiagent Systems
Kyoto, Japan, December, 1996, AAAI press.
Reliability Measure Theory: A Nonmonotonic Semantics
Minkoo Kim and Anthony S. Maida
IEEE Transactions on Data and Knowledge Engineering, 1993, 5(1), 41-51.
Maintaining Mental Models of Agents who have Existential Misconceptions
Anthony S. Maida
Artificial Intelligence, 1991, 50(3), 331-383.
A Syntactic Approach to Introspection and Reasoning about the Beliefs of Other Agents
Anthony S. Maida, Jacques Wainer, and Sehyeong Cho
Fundamenta Informaticae, 1991, 15(3-4), 333-356.

Last update: September 13, 2006