

Current and Recent Projects
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Quaternion weight-sharing |
Context in predictive coding |
Spiking, postsynaptic currents, and STDP learning |
in axial attention |
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Selected Publications
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Removing Dimensional Restrictions on Complex/Hyper-Complex Neural Networks
Chase Gaudet, Anthony S. Maida
IEEE International Conference on Image Processing, Sept 19-22, Anchorage, 2021, to appear.
Stacked LSTM Based Deep Recurrent Neural Network with Kalman Smoothing for Blood Glucose Prediction
Md F. Rabby, Y. Tu, Md I. Hossen, I. Lee, A. Maida, X. Hei
BMC Medical Informatics and Decision Making, 21:101, 2021,
doi: 10.1186/s12911-021-01462-5.
Direct Normal Irradiance Forecasting using Multivariate Recurrent Networks
M. Hosseini, S. Katragadda, J. Wojtkiewicz, R. Gottumukkala, A. S. Maida, T. L. Chambers
Energies, 13(15), 2020, 1394,
Access here.
Reduced-Gate Convolutional Long Short-Term Memory using Predictive Coding for Spatiotemporal Prediction
N. Elsayed, A. S. Maida, M. Bayoumi
Computational Intelligence, 36, 2020, 910-939.
Deep Learning in Spiking Neural Networks
A. Tavanaei, M. Ghodrati, S. R. Kheradpisheh, T. Masquelier, A. S. Maida
Neural Networks, 111, 2019, 47-63.
Deep Quaternion Networks
Chase Gaudet, Anthony S. Maida
International Joint Conference on Neural Networks (IJCNN), July 8-13, Rio de Janeiro, 2018, 1565-1572.
BP-STDP: Approximating Backpropagation using Spike Timing Dependent Plasticity
Amirhossein Tavanaei, Anthony S. Maida
Neuralcomputing, 330, 2018, 39-47.
Representation Learning using Event-based STDP
Amirhossein Tavanaei, Timothée Masquelier, Anthony S. Maida
Neural Networks, 105, 2018, 294-303.
Training a Hidden Markov Model with a Bayesian Spiking Neural Network
Amirhossein Tavanaei, Anthony S. Maida
Journal of Signal Processing Systems, Springer, 90(2), 2018, 211-220.
Multi-Layer Unsupervised Learning in a Convolutional Neural Network
Amirhossein Tavanaei, Anthony S. Maida
International Joint Conference on Neural Networks (IJCNN), Anchorage, May 2017, 2023-2030.
A Spiking Network that Learns to Extract Spike Signatures from Speech Signals
Amirhossein Tavanaei, Anthony S. Maida
Neurocomputing, 2017, 240, 191-199.
Acquisition of Visual Features through Probabilistic Spike-Timing-Dependent Plasticity,
A. Tavanaei, T. Masquelier, A. Maida
International Joint Conference on Neural Networks (IJCNN), Vancouver, July 2016, 307-314.
Cognitive Computing and Neural Networks: Reverse Engineering the Brain
Anthony S. Maida
Handbook of Statistics: Vol 35, Cognitive Computing,, Elsevier, 2016, 39-78.
V. N. Gudivada, V. Raghavan, V. Govindaraju, C. R. Rao (Eds).
Exact Particle Filter Modularization Improves Runtime Performance
Padraic Edgington, Anthony S. Maida
22nd European Conference on Artificial Intelligence, The Hague, Holland, Aug 29 - Sept 2, 2016.
Training a Hidden Markov Model with a Bayesian Spiking Network
Amirhossein Tavanaei, Anthony S. Maida
Journal of Signal Processing Systems, 2016, 1-10, DOI:10.1007/s11265-016-1153-2.
Natural Image Bases to Represent Neuroimaging Data
A. Gupta, M. Ayhan, A. S. Maida
Journal of Machine Learning Research, 2013, 28(3), 987-994.
GPU Facilitated Unsupervised Visual Feature Acquisition in Spiking Neural Networks
Blake Lemoine and Anthony S. Maida
The 2013 International Joint Conference on Neural Networks, Dallas, Texas, August 4-9, 2013, 1840-1845.
Toward a Causal Topic Model for Visual Scene Analysis
John P. McCaffery and Anthony S. Maida
The 2013 International Joint Conference on Neural Networks, Dallas, Texas, August 4-9, 2013, 1674-1681.
Natural Image Bases to Represent Neuroimaging Data
Ashish Gupta, Murat Ayhan, and Anthony Maida
Journal of Machine Learning Research: Workshop and Conference Proceedings, 2013, 28(3), 987-984.
Accessible online
here.
Effects of Memory Size on Melody Recognition in a Simulation of
Cohort Theory
Naresh N. Vempala and Anthony S. Maida
Cognitive Systems Research, 2011, 12(1), 66-78.
Accessible online
here.
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.
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.
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