Properties of human motor control under risk and risk aware control
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Neural correlates of learning and reversal of approach versus withdraw responses to in- and out-group individuals
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1.655Neuromorphic Mechanical Computation for Decentralized Control of Soft Fluidic Robots
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Neurobiological correlates of fathers’ transition to parenthood
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Deep convolutional neural networks for remote sensing investigation of looting of the archeological site of Al-Lisht, Egypt
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Neural network for molecular dynamics simulation and design of 2D materials
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Practical adaptive control for systems with flexible modes, disturbances, and time delays
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Learning invariant features in modulatory neural networks through conflict and ambiguity
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Exploring complexity reduction in deep learning
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Statistical downscaling with artificial neural network
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The neural representation of faces
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Controlling information in neural networks for fairness and privacy
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Iterative path integral stochastic optimal control: theory and applications to motor control
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Algorithms and frameworks for generating neural network models addressing energy-efficiency, robustness, and privacy
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The neural basis of estradiol conditioned taste aversion learning and estradiol anorexia
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Neural network integration of multiscale and multimodal cell imaging using semantic parts
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High throughput computational framework for synthesis and accelerated discovery of dielectric polymer materials using polarizable reactive molecular dynamics and graph neural networks
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Low-power, dual sampling-rate, shared-architecture ADC for implantable biomedical systems
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A novel role for post-migratory neural crest cells in cardiac outflow tract alignment: insights into the molecular basis of concomitant congenital cardiac and cleft malformations
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Deep learning for subsurface characterization and forecasting
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Object detection and digitization from aerial imagery using neural networks
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Leveraging structure for learning robot control and reactive planning
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Adaptive control with aerospace applications
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Melanin-concentrating hormone neurons and food intake control: neural and behavioral mechanisms
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Developing environmental controls using a data-driven approach for enhancing environmental comfort and energy performance
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