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1.
2.
Computational Mechanisms of Selective Attention During Reinforcement Learning
by Radulescu, Angela , Ph.D.  Princeton University. 2020: 133 pages; 27964412.
3.
Techniques in Two-Photon Microscopy for Neuroscience
by Driscoll, Jonathan Daniel, Ph.D.  University of California, San Diego. 2011: 115 pages; 3487511.
4.
A Computational Model of Simulated Motion in Rats
by Doubleday, Steven Jay, Ph.D.  University of California, Irvine. 2020: 242 pages; 27997268.
7.
Computational Simulation of Solution Phase NADH/NAD + Model Reactions
by Jafari, Mina, M.S.  Southern Illinois University at Edwardsville. 2014: 53 pages; 1565803.
9.
Computational Models for Auditory Scene Analysis
by Mobin, Shariq A., Ph.D.  University of California, Berkeley. 2019: 67 pages; 13885042.
12.
Pathway-Centric Computational Approach Identifies Molecular Changes Associated with Antibiotic Resistance in Staphylococcus aureus
by Harris, Laura K., Ph.D.  Rutgers The State University of New Jersey, Rutgers School of Health Professions. 2020: 152 pages; 27964628.
14.
The neural dogma
by Merrill, Bradford Chester, M.A.  University of Nevada, Reno. 2008: 128 pages; 1460809.
15.
Reliable and Context-Dependent Computation in the Brain
by Johnston, William Jeffrey, Ph.D.  The University of Chicago. 2020: 218 pages; 28094569.
16.
Analysis of Behavioral and Autonomic States in Unstructured Multiday Human Intracranial Electrophysiology
by Alasfour, Abdulwahab Ahmad, Ph.D.  University of California, San Diego. 2020: 119 pages; 28256343.
17.
Decoding the Computations of Sensory Neurons
by Kaardal, Joel Thomas, Ph.D.  University of California, San Diego. 2017: 143 pages; 10633582.
19.
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.
20.
Computational modeling and utilization of attention, surprise and attention gating
by Mundhenk, Terrell Nathan, Ph.D.  University of Southern California. 2009: 312 pages; 3368710.
21.
Computational characterization of numerosity perception and encoding
by Shuman, Miles Morgan, Ph.D.  Harvard University. 2007: 104 pages; 3265205.
22.
Network structures: Graph theory, statistics, and neuroscience applications
by Chang, Yu-Teng, Ph.D.  University of Southern California. 2012: 146 pages; 3513735.
23.
Computational and robotic models of human postural control
by Mahboobin, Arash, Ph.D.  University of Pittsburgh. 2007: 126 pages; 3300572.
24.
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.
26.
Learning Neural Representations that Support Efficient Reinforcement Learning
by Stachenfeld, Kimberly, Ph.D.  Princeton University. 2018: 155 pages; 10824319.
27.
The Primacy of Phenomenology over Cognitivism: Towards a Critique of the Computational Theory of Mind
by Masís, Jethro, Ph.D.  Bayerische Julius-Maximilians-Universitaet Wuerzburg (Germany). 2015: 256 pages; 27766759.
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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