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1.
5.
Techniques in Two-Photon Microscopy for Neuroscience
by Driscoll, Jonathan Daniel, Ph.D.  University of California, San Diego. 2011: 115 pages; 3487511.
6.
Computational Models for Auditory Scene Analysis
by Mobin, Shariq A., Ph.D.  University of California, Berkeley. 2019: 67 pages; 13885042.
7.
The neural dogma
by Merrill, Bradford Chester, M.A.  University of Nevada, Reno. 2008: 128 pages; 1460809.
9.
Decoding the Computations of Sensory Neurons
by Kaardal, Joel Thomas, Ph.D.  University of California, San Diego. 2017: 143 pages; 10633582.
11.
The Influence of Neuroscience Instruction on Coach Self-efficacy and Self-reported Coaching Behaviors
by Reeves, Eric N., Ph.D.  George Mason University. 2019: 228 pages; 13863898.
12.
Computational characterization of numerosity perception and encoding
by Shuman, Miles Morgan, Ph.D.  Harvard University. 2007: 104 pages; 3265205.
13.
Decision-making and motor control: computational models of human sensorimotor processing
by Huang, He, Ph.D.  University of California, San Diego. 2014: 147 pages; 3673994.
14.
Stochastic Neural Algorithms
by Engler, Gary Ronald, Jr., Ph.D.  Stevens Institute of Technology. 2018: 161 pages; 10979690.
15.
Computational modeling of biological neural networks on GPUS: Strategies and performance
by Galbraith, Byron V., M.S.  Marquette University. 2010: 130 pages; 1479117.
16.
Computational modeling and utilization of attention, surprise and attention gating
by Mundhenk, Terrell Nathan, Ph.D.  University of Southern California. 2009: 312 pages; 3368710.
17.
Computational and robotic models of human postural control
by Mahboobin, Arash, Ph.D.  University of Pittsburgh. 2007: 126 pages; 3300572.
18.
Network structures: Graph theory, statistics, and neuroscience applications
by Chang, Yu-Teng, Ph.D.  University of Southern California. 2012: 146 pages; 3513735.
21.
Exotic Ordered and Disordered Many-Particle Systems with Novel Properties
by Zhang, Ge, Ph.D.  Princeton University. 2017: 374 pages; 10622528.
23.
Learning Neural Representations that Support Efficient Reinforcement Learning
by Stachenfeld, Kimberly, Ph.D.  Princeton University. 2018: 155 pages; 10824319.
24.
Molecular Dynamics Study of Polymers and Atomic Clusters
by Sponseller, Daniel Ray, Ph.D.  George Mason University. 2017: 137 pages; 10685723.
26.
Inference Algorithms and Sensorimotor Representations in Brains and Machines
by Mudigonda, Mayur, Ph.D.  University of California, Berkeley. 2019: 154 pages; 13904872.
27.
Harnessing Electrocorticographic Signals for Neuroscience and Neurosurgery
by de Pesters, Adriana, Ph.D.  State University of New York at Albany. 2017: 199 pages; 10606239.
28.
Neuroscience and music education: An overview of current research, and implications for pedagogy and policy
by Gilstrap, Erica Lynn Shelton, M.M.  California State University, Los Angeles. 2015: 66 pages; 1597215.
29.
Time Frequency Analysis for Localization of Human Brain Waves for Imagined Motor Movements
by Bhamra, Suraj Singh, Ph.D.  Oakland University. 2019: 348 pages; 13810284.
30.
A Comprehensive Computational Model of Sustained Attention
by Gartenberg, Daniel, Ph.D.  George Mason University. 2016: 147 pages; 10130797.
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