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1.
Electroencephalogram classification by forecasting with recurrent neural networks
by Forney, Elliott M., M.S.  Colorado State University. 2011: 79 pages; 1503664.
2.
Spacecraft Formation Control: Adaptive PID-Extended Memory Recurrent Neural Network Controller
by Gonzalez, Juan, M.S.  California State University, Long Beach. 2018: 76 pages; 10978237.
3.
Attention to Deep Structure in Recurrent Neural Networks
by Sharpe, Spencer S., M.S.  University of Wyoming. 2017: 62 pages; 10619110.
4.
Learning in chaotic recurrent neural networks
by Sussillo, David C., Ph.D.  Columbia University. 2009: 134 pages; 3346497.
5.
Variable Memory Recurrent Neural Networks for Nano Sat Launch Vehicle attitude control
by Sclafani, Rodolfo J., M.S.  California State University, Long Beach. 2014: 79 pages; 1527749.
6.
Lithium-Ion Battery SOC Estimation Using Deep Learning Neural Networks
by Wang, Rui, M.S.  Rutgers The State University of New Jersey, School of Graduate Studies. 2019: 55 pages; 22624788.
8.
Linear and Nonlinear Models for Forecasting the Realized Volatility of Cryptocurrencies
by Mitkov, Ivan, Master's  Humboldt Universitaet zu Berlin (Germany). 2018: 73 pages; 27733357.
9.
Decoding the rhythms of avian auditory LFP
by Schachter, Mike J., Ph.D.  University of California, Berkeley. 2016: 53 pages; 10192590.
10.
Dynamics and Information Processing in Recurrent Networks
by Kuczala, Alexander, Ph.D.  University of California, San Diego. 2019: 112 pages; 27541198.
11.
Evaluation and Design of Robust Neural Network Defenses
by Carlini, Nicholas, Ph.D.  University of California, Berkeley. 2018: 138 pages; 10931076.
12.
Combinatorial Neural Network Training Algorithm for Neuromorphic Computing
by Date, Prasanna, Ph.D.  Rensselaer Polytechnic Institute. 2019: 133 pages; 22583141.
14.
Learning temporal representations in cortical networks through reward dependent expression of synaptic plasticity
by Gavornik, Jeffrey Peter, Ph.D.  The University of Texas at Austin. 2009: 121 pages; 3360319.
16.
Stochastic Neural Algorithms
by Engler, Gary Ronald, Jr., Ph.D.  Stevens Institute of Technology. 2018: 161 pages; 10979690.
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Blood Glucose Management Streptozotocin-Induced Diabetic Rats by Artificial Neural Network Based Model Predictive Control
by Bahremand, Saeid, M.S.  Southern Illinois University at Edwardsville. 2016: 92 pages; 10249804.
20.
BCAP: An Artificial Neural Network Pruning Technique to Reduce Overfitting
by Brantley, Kiante, M.S.  University of Maryland, Baltimore County. 2016: 71 pages; 10140605.
21.
Automated Feature Engineering for Deep Neural Networks with Genetic Programming
by Heaton, Jeff, Ph.D.  Nova Southeastern University. 2017: 201 pages; 10259604.
22.
The Collective Dynamics of Adaptive Neurons: Insights From Single Cell and Network Models
by Ladenbauer, Josef, Ph.D.  Technische Universitaet Berlin (Germany). 2015: 124 pages; 10704091.
23.
Artificial Neural Network Impact on Cloud Parameterization and Land-Atmosphere Interactions
by Yacalis, Galen, M.S.  University of California, Irvine. 2018: 106 pages; 10933426.
24.
Analysis and Applications of the Locally Competitive Algorithm
by Paiton, Dylan M., Ph.D.  University of California, Berkeley. 2019: 99 pages; 13885693.
25.
Computational modeling of biological neural networks on GPUS: Strategies and performance
by Galbraith, Byron V., M.S.  Marquette University. 2010: 130 pages; 1479117.
26.
New neural network for real-time human dynamic motion prediction
by Bataineh, Mohammad Hindi, Ph.D.  The University of Iowa. 2015: 253 pages; 3711174.
27.
Modeling the mirror system in action observation and execution
by Bonaiuto, James, Ph.D.  University of Southern California. 2010: 291 pages; 3418250.
28.
An Exploration of the Role of Cellular Neuroplasticity in Large Scale Models of Biological Neural Networks
by Skorheim, Steven W., Ph.D.  University of California, Riverside. 2014: 170 pages; 3630750.
29.
DiffFrameNet: A Deep Learning Method for Intuitive Robot Navigation
by Cao, Bo, M.S.  University of Colorado at Boulder. 2018: 69 pages; 10809457.
30.
Computational Models for Auditory Scene Analysis
by Mobin, Shariq A., Ph.D.  University of California, Berkeley. 2019: 67 pages; 13885042.
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