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Stimulus-Driven and Spontaneous Dynamics in Excitatory-Inhibitory Recurrent Neural Networks for Sequence Representation.

Neural computation Sep 16, 2021
Recurrent neural networks (RNNs) have been widely used to model sequential neural dynamics ("neural sequences") of cortical circuits in cognitive and motor tasks. Efforts to incorporate biological constraints and Dale's principle will help elucidate ...
Learning Neoplasms Neural Networks, Computer Humans
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A reinforcement learning model to inform optimal decision paths for HIV elimination.

Mathematical biosciences and engineering : MBE Sep 6, 2021
The 'Ending the HIV Epidemic (EHE)' national plan aims to reduce annual HIV incidence in the United States from 38,000 in 2015 to 9300 by 2025 and 3300 by 2030. Diagnosis and treatment are two most effective interventions, and thus, identifying corre...
Humans Artificial Intelligence United States Reinforcement, Psychology Algorithms HIV Infections Learning
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Evolving Plasticity for Autonomous Learning under Changing Environmental Conditions.

Evolutionary computation Sep 1, 2021
A fundamental aspect of learning in biological neural networks is the plasticity property which allows them to modify their configurations during their lifetime. Hebbian learning is a biologically plausible mechanism for modeling the plasticity prope...
Learning Algorithms Neurons Neural Networks, Computer
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Neural networks learn the motions of molecular machines.

Nature methods Aug 1, 2021
Neural Networks, Computer Motion Learning
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Exploiting the power of information in medical education.

Medical teacher Jul 1, 2021
The explosion of medical information demands a thorough reconsideration of medical education, including what we teach and assess, how we educate, and whom we educate. Physicians of the future will need to be self-aware, self-directed, resource-effect...
Curriculum Students Education, Medical Artificial Intelligence Humans Learning
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AI-ssessment: Towards Assessment As a Sociotechnical System for Learning.

Academic medicine : journal of the Association of American Medical Colleges Jul 1, 2021
Two decades ago, the advent of competency-based medical education (CBME) marked a paradigm shift in assessment. Now, medical education is on the cusp of another transformation driven by advances in the field of artificial intelligence (AI). In this a...
Formative Feedback Competency-Based Education Clinical Competence Education, Medical Educational Measurement Machine Learning Learning Artificial Intelligence Humans
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Transfer Learning for Classifying Spanish and English Text by Clinical Specialties.

Studies in health technology and informatics May 27, 2021
Transfer learning has demonstrated its potential in natural language processing tasks, where models have been pre-trained on large corpora and then tuned to specific tasks. We applied pre-trained transfer models to a Spanish biomedical document class...
Machine Learning Natural Language Processing Multilingualism Language Learning
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GAN-Based Prediction of Time Series.

Studies in health technology and informatics May 27, 2021
The study aims at generating initial and directional insights in the applicability of conditional recurrent generative adversarial nets for the imputation and forecasting of medical time series data. Our experiment with blood pressure series showed t...
Neural Networks, Computer Learning Forecasting
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Modeling, learning, perception, and control methods for deformable object manipulation.

Science robotics May 26, 2021
Perceiving and handling deformable objects is an integral part of everyday life for humans. Automating tasks such as food handling, garment sorting, or assistive dressing requires open problems of modeling, perceiving, planning, and control to be sol...
Perception Mechanical Phenomena Robotics Humans Physical Phenomena Learning Computer Simulation
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Predictive Processing in Cognitive Robotics: A Review.

Neural computation Apr 13, 2021
Predictive processing has become an influential framework in cognitive sciences. This framework turns the traditional view of perception upside down, claiming that the main flow of information processing is realized in a top-down, hierarchical manner...
Cognition Robotics Learning
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