AI Medical Compendium Topic

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Neurosciences

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A technical review of canonical correlation analysis for neuroscience applications.

Human brain mapping
Collecting comprehensive data sets of the same subject has become a standard in neuroscience research and uncovering multivariate relationships among collected data sets have gained significant attentions in recent years. Canonical correlation analys...

Deep Reinforcement Learning and Its Neuroscientific Implications.

Neuron
The emergence of powerful artificial intelligence (AI) is defining new research directions in neuroscience. To date, this research has focused largely on deep neural networks trained using supervised learning in tasks such as image classification. Ho...

A Model for Neural Network Modeling in Neuroscience.

The Journal of neuroscience : the official journal of the Society for Neuroscience

Limits of Neural Computation in Humans and Machines.

Science and engineering ethics
Aicardi et al. (Ethical and social aspects of neurorobotics, Science and Engineering Ethics, 2020) look to neuroscience to mitigate the limitations of current robotics technology. They propose that robotics technology guided by neuroscience has the c...

If deep learning is the answer, what is the question?

Nature reviews. Neuroscience
Neuroscience research is undergoing a minor revolution. Recent advances in machine learning and artificial intelligence research have opened up new ways of thinking about neural computation. Many researchers are excited by the possibility that deep n...

Predicting adult neuroscience intensive care unit admission from emergency department triage using a retrospective, tabular-free text machine learning approach.

Scientific reports
Early admission to the neurosciences intensive care unit (NSICU) is associated with improved patient outcomes. Natural language processing offers new possibilities for mining free text in electronic health record data. We sought to develop a machine ...