Anthony S. Maida

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Amir TavanaeiAmazonVerified email at amazon.com
Nelly ElsayedUniversity of CincinnatiVerified email at uc.edu
Timothée MasquelierCNRS Researcher (DR2), Cerco (CNRS-UT3), TMBI (Univ. Toulouse)Verified email at cnrs.fr
Xiali (Sharon) HeiThe Center for Advanced Computer Studies, University of Louisiana at LafayetteVerified email at louisiana.edu
Cengiz GunayAssociate Professor, Georgia Gwinnett CollegeVerified email at ggc.edu
Saeed Reza KheradpishehShahid Beheshti UniversityVerified email at sbu.ac.ir
Matin HosseiniUniversity of Louisiana at lafayette, Flex logixVerified email at louisiana.edu
Nazmul ShahadatAssistant Professor at Truman State UniversityVerified email at truman.edu
Majid HosseiniUniversity of Louisiana at lafayetteVerified email at louisiana.edu
Vijay V RaghavanAlfred and Helen Lamson Endowed Professor in Computer Science, University of Louisiana at LafayetteVerified email at louisiana.edu
Murat Seçkin AyhanUniversity College London and Moorfields Eye HospitalVerified email at ucl.ac.uk
Md Fazle RabbyeBay Inc.Verified email at ebay.com
Yazhou TuAuburn UniversityVerified email at auburn.edu
Md Imran HossenUniversity of Louisiana at LafayetteVerified email at louisiana.edu
Stuart C. ShapiroProfessor Emeritus of Computer Science and Engineering, University at BuffaloVerified email at buffalo.edu
Arun LakhotiaUniversity of Louisiana at LafayetteVerified email at louisiana.edu
Dr. Suresh GolcondaCACS, University of Louisiana at LafayetteVerified email at cacs.louisiana.edu
Benjamin A RowlandWake Forest School of MedicineVerified email at wakehealth.edu
Siva R VennaData Scientist at CircanaVerified email at louisiana.edu
Insup LeeProfessor, Computer and Information Science, University of PennsylvaniaVerified email at cis.upenn.edu

Anthony S. Maida

School of Computing and Informatics, UL Lafayette

Verified email at louisiana.edu - Homepage

Neurocomputing Computational Neuroscience AI


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Deep learning in spiking neural networks A Tavanaei, M Ghodrati, SR Kheradpisheh, T Masquelier, A Maida Neural networks 111, 47-63, 2019	1243	2019
Natural image bases to represent neuroimaging data A Gupta, M Ayhan, A Maida International conference on machine learning, 987-994, 2013	305	2013
Intensional concepts in propositional semantic networks AS Maida, SC Shapiro Cognitive science 6 (4), 291-330, 1982	235	1982
BP-STDP: Approximating backpropagation using spike timing dependent plasticity A Tavanaei, A Maida Neurocomputing 330, 39-47, 2019	229	2019
Deep quaternion networks CJ Gaudet, AS Maida 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018	211	2018
A novel data-driven model for real-time influenza forecasting SR Venna, A Tavanaei, RN Gottumukkala, VV Raghavan, AS Maida, ... Ieee Access 7, 7691-7701, 2018	138	2018
Stacked LSTM based deep recurrent neural network with kalman smoothing for blood glucose prediction MF Rabby, Y Tu, MI Hossen, I Lee, AS Maida, X Hei BMC Medical Informatics and Decision Making 21, 1-15, 2021	122	2021
Deep gated recurrent and convolutional network hybrid model for univariate time series classification N Elsayed, AS Maida, M Bayoumi arXiv preprint arXiv:1812.07683, 2018	79	2018
Multi-layer unsupervised learning in a spiking convolutional neural network A Tavanaei, AS Maida 2017 international joint conference on neural networks (IJCNN), 2023-2030, 2017	79	2017
Bio-inspired spiking convolutional neural network using layer-wise sparse coding and STDP learning A Tavanaei, AS Maida arXiv preprint arXiv:1611.03000, 2016	79	2016
A spiking network that learns to extract spike signatures from speech signals A Tavanaei, AS Maida Neurocomputing 240, 191-199, 2017	64	2017
Bio-inspired multi-layer spiking neural network extracts discriminative features from speech signals A Tavanaei, A Maida Neural Information Processing: 24th International Conference, ICONIP 2017 …, 2017	59	2017
Training spiking convnets by stdp and gradient descent A Tavanaei, Z Kirby, AS Maida 2018 international joint conference on neural networks (IJCNN), 1-8, 2018	55	2018
Acquisition of visual features through probabilistic spike-timing-dependent plasticity A Tavanaei, T Masquelier, AS Maida 2016 International Joint Conference on Neural Networks (IJCNN), 307-314, 2016	49	2016
Gated recurrent neural networks empirical utilization for time series classification N Elsayed, AS Maida, M Bayoumi 2019 International Conference on Internet of Things (iThings) and IEEE Green …, 2019	38	2019
Representation learning using event-based STDP A Tavanaei, T Masquelier, A Maida Neural Networks 105, 294-303, 2018	34	2018
A minimal spiking neural network to rapidly train and classify handwritten digits in binary and 10-digit tasks A Tavanaei, AS Maida Int. J. Adv. Res. Artif. Intell 4 (7), 1-8, 2015	33	2015
Maintaining mental models of agents who have existential misconceptions AS Maida Artificial Intelligence 50 (3), 331-383, 1991	31	1991
Using TD learning to simulate working memory performance in a model of the prefrontal cortex and basal ganglia AA Moustafa, AS Maida Cognitive Systems Research 8 (4), 262-281, 2007	29	2007
Training a hidden Markov model with a Bayesian spiking neural network A Tavanaei, AS Maida Journal of Signal Processing Systems 90, 211-220, 2018	28	2018

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