Anthony S. Maida
Anthony S. Maida
School of Computing and Informatics, UL Lafayette
Adresă de e-mail confirmată pe louisiana.edu - Pagina de pornire
Citat de
Citat de
Deep learning in spiking neural networks
A Tavanaei, M Ghodrati, SR Kheradpisheh, T Masquelier, A Maida
Neural networks 111, 47-63, 2019
Natural image bases to represent neuroimaging data
A Gupta, M Ayhan, A Maida
International conference on machine learning, 987-994, 2013
Intensional concepts in propositional semantic networks
AS Maida, SC Shapiro
Cognitive science 6 (4), 291-330, 1982
BP-STDP: Approximating backpropagation using spike timing dependent plasticity
A Tavanaei, A Maida
Neurocomputing 330, 39-47, 2019
Deep quaternion networks
CJ Gaudet, AS Maida
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 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
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
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
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
Bio-inspired spiking convolutional neural network using layer-wise sparse coding and STDP learning
A Tavanaei, AS Maida
arXiv preprint arXiv:1611.03000, 2016
A spiking network that learns to extract spike signatures from speech signals
A Tavanaei, AS Maida
Neurocomputing 240, 191-199, 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
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
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
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
Representation learning using event-based STDP
A Tavanaei, T Masquelier, A Maida
Neural Networks 105, 294-303, 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
Maintaining mental models of agents who have existential misconceptions
AS Maida
Artificial Intelligence 50 (3), 331-383, 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
Training a hidden Markov model with a Bayesian spiking neural network
A Tavanaei, AS Maida
Journal of Signal Processing Systems 90, 211-220, 2018
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