AIMC Topic: Learning

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Determining Electroconvulsive Therapy Response With Machine Learning.

JAMA psychiatry Jun 1, 2016
Learning Depression Electroconvulsive Therapy Machine Learning
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ROBOTICS. Learning from nature how to land aerial robots.

Science (New York, N.Y.) May 20, 2016
Humans Learning Robotics
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What Google's winning Go algorithm will do next.

Nature Mar 17, 2016
Smartphone Diagnosis Games, Recreational Male Child Humans Artificial Intelligence Language Learning
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Spiking neurons can discover predictive features by aggregate-label learning.

Science (New York, N.Y.) Mar 4, 2016
The brain routinely discovers sensory clues that predict opportunities or dangers. However, it is unclear how neural learning processes can bridge the typically long delays between sensory clues and behavioral outcomes. Here, I introduce a learning c...
Learning Speech Models, Neurological Humans Neural Networks, Computer Brain Formative Feedback Membrane Potentials Neurons Concept Formation Unsupervised Machine Learning Reinforcement, Psychology Supervised Machine Learning
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Using goal-driven deep learning models to understand sensory cortex.

Nature neuroscience Mar 1, 2016
Fueled by innovation in the computer vision and artificial intelligence communities, recent developments in computational neuroscience have used goal-driven hierarchical convolutional neural networks (HCNNs) to make strides in modeling neural single-...
Visual Cortex Somatosensory Cortex Models, Neurological Goals Humans Neural Networks, Computer Learning Animals
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IEEE Transactions on Neural Networks and Learning Systems 2016 and Beyond.

IEEE transactions on neural networks and learning systems Jan 1, 2016
Information Storage and Retrieval Neural Networks, Computer Learning Periodicals as Topic Humans
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Fully parallel write/read in resistive synaptic array for accelerating on-chip learning.

Nanotechnology Nov 13, 2015
A neuro-inspired computing paradigm beyond the von Neumann architecture is emerging and it generally takes advantage of massive parallelism and is aimed at complex tasks that involve intelligence and learning. The cross-point array architecture with ...
Computing Methodologies Models, Theoretical Unsupervised Machine Learning Neural Networks, Computer Semiconductors Learning Synapses Electric Impedance Pattern Recognition, Automated
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A Simple Network Architecture Accounts for Diverse Reward Time Responses in Primary Visual Cortex.

The Journal of neuroscience : the official journal of the Society for Neuroscience Sep 16, 2015
UNLABELLED: Many actions performed by animals and humans depend on an ability to learn, estimate, and produce temporal intervals of behavioral relevance. Exemplifying such learning of cued expectancies is the observation of reward-timing activity in ...
Models, Neurological Neurons Membrane Potentials Reward Nerve Net Reinforcement, Psychology Neural Networks, Computer Synaptic Transmission Learning Visual Cortex Computer Simulation Animals Neuronal Plasticity
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[Dancing with artificial intelligence].

Revue medicale suisse Jun 24, 2015
Social Adjustment Algorithms Social Change Learning Humans Mental Processes Artificial Intelligence
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Technique evolution, learning curve, and outcomes of 200 robot-assisted gastric bypass procedures: a 5-year experience.

Obesity surgery Jun 1, 2015
BACKGROUND: We evaluate our 5-year experience, evolution of technique, and clinical outcomes with robot-assisted RYGB.
Male Gastric Bypass Operative Time Humans Robotics Reoperation Middle Aged Female Laparoscopy Learning Curve Retrospective Studies Treatment Outcome Adult Learning
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