Experimental analysis and feedforward design of neural networks
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Differential verification of deep neural networks
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Detection and optical signal processing using phase based optical modulation formats
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Learning invariant features in modulatory neural networks through conflict and ambiguity
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High-capacity feedback neural networks
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Learning in dynamic synapse neural networks
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Analog and mixed-signal parameter synthesis using machine learning and time-based circuit architectures
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The use of dynamic synapse neural networks for speech processing tasks
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Neural substrates of motor memory consolidation: a double dissociation of primary motor cortex and dorsolateral prefrontal cortex induced by practice structure
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USC Computer Science Technical Reports, no. 965 (2016)
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Neural network for molecular dynamics simulation and design of 2D materials
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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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insideOut: Estimating joint angles in tendon-driven robots using Artificial Neural Networks and non-collocated sensors
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Neural sequence models: Interpretation and augmentation
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Power-efficient biomimetic neural circuits
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Magnetic induction-based wireless body area network and its application toward human motion tracking
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Simulation and machine learning at exascale
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Algorithms and frameworks for generating neural network models addressing energy-efficiency, robustness, and privacy
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Leveraging structure for learning robot control and reactive planning
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Dynamic neuronal encoding in neuromorphic circuits
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Signaling networks in complex brain disorders
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Next generation neural interfaces for neural modulation and prosthesis
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Neural network integration of multiscale and multimodal cell imaging using semantic parts
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Experience modulates neural activity during action understanding: exploring sensorimotor and social cognitive interactions
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Neuron unit arrays and nature/nurture adaptation for photonic multichip modules
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