Selected Publications

• 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.