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1.
Characterizing the Spatial Density Functions of Neural Arbors
by Teeter, Corinne Michelle, Ph.D.  University of California, San Diego. 2010: 126 pages; 3432040.
2.
Demonstrating the role of multiple memory mechanisms in learning patterns using neuromorphic circuits
by Barzegarjalali, Saeid, Ph.D.  University of Southern California. 2016: 141 pages; 10242347.
4.
Early Mammalian Neural Crest Development
by Betters, Erin Ann, Ph.D.  Yale University. 2012: 168 pages; 3535405.
5.
Alterations to Dendrite Morphology in Response to Antipsychotic Drug Treatment and Hypoglutamatergia
by Mahnke, Amanda Hope, Ph.D.  Tulane University School of Science and Engineering. 2014: 169 pages; 3639160.
6.
Molecular and Activity-Dependent Mechanisms of Visual Circuit Development
by Burbridge, Timothy James, Ph.D.  Yale University. 2015: 191 pages; 3663626.
7.
Transcriptional Regulation of the Developing Neural Crest in Xenopus
by Medina Ruiz, Sofia, Ph.D.  University of California, Berkeley. 2015: 135 pages; 10186646.
9.
Design of a Multi-objective Landing Trajectory Using Artificial Neural Networks
by Dedman, Phoebe Elizabeth, M.S.  California State University, Long Beach. 2018: 118 pages; 10837984.
10.
Gray-cast iron classification based on graphite flakes using image morphology and neural networks
by Yeliyur Siddegowda, Darshan, M.S.  California State University, Long Beach. 2016: 55 pages; 10017846.
11.
DiffFrameNet: A Deep Learning Method for Intuitive Robot Navigation
by Cao, Bo, M.S.  University of Colorado at Boulder. 2018: 69 pages; 10809457.
12.
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.
13.
A study of cell-based genetic algorithms with applications to neural networks
by Dinh, Hoa, M.S.  California State University, Long Beach. 2013: 62 pages; 1527480.
14.
Utilizing Various Neural Network Architectures to Play a Game Developed for Human Players
by Arender, Blake, M.S.  The University of Mississippi. 2018: 51 pages; 10752390.
15.
Automated Feature Engineering for Deep Neural Networks with Genetic Programming
by Heaton, Jeff, Ph.D.  Nova Southeastern University. 2017: 201 pages; 10259604.
16.
360° View Camera Based Visual Assistive Technology for Contextual Scene Information
by Ali, Mazin, M.S.  Rochester Institute of Technology. 2017: 54 pages; 10621991.
17.
Cellular and Molecular Mechanisms of Retinal Circuitry Development
by Keeley, Patrick William, Ph.D.  University of California, Santa Barbara. 2013: 205 pages; 3611994.
18.
BCAP: An Artificial Neural Network Pruning Technique to Reduce Overfitting
by Brantley, Kiante, M.S.  University of Maryland, Baltimore County. 2016: 71 pages; 10140605.
19.
Vagal neural crest cell patterning and migratory behavior
by Kuo, Bryan R., Ph.D.  University of California, Davis. 2010: 137 pages; 3404960.
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21.
Machine Learning Applications to Robot Control
by Abdul-hadi, Omar, Ph.D.  University of California, Berkeley. 2018: 93 pages; 10817183.
22.
Needle in the Noise: Detecting Public Safety Events Over Twitter
by Paulson, Keith, M.Eng.  University of Colorado Colorado Springs. 2019: 52 pages; 13864461.
23.
Novel patterns of activity in the hippocampus
by Kay, Kenneth, Ph.D.  University of California, San Francisco. 2016: 130 pages; 10133436.
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26.
Development of a Stem Cell Gene Therapy for Sanfilippo Syndrome Type B
by Clarke, Don Lucas, M.S.  California State University, Los Angeles. 2017: 36 pages; 10278830.
27.
Drilling Hydraulics Optimization Using Neural Networks
by Wang, Yanfang, M.S.  University of Louisiana at Lafayette. 2014: 73 pages; 1592757.
28.
Using Neural Networks to Predict Vortex-Panel Analyses: A Feasibility Study
by Wright, Brendan, M.S.  Rensselaer Polytechnic Institute. 2018: 103 pages; 10980821.
30.
Computational modeling of biological neural networks on GPUS: Strategies and performance
by Galbraith, Byron V., M.S.  Marquette University. 2010: 130 pages; 1479117.
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