AIMC Topic: Neurosciences
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The application of artificial intelligence to biology and neuroscience.
Cell
Jul 21, 2022
Over the last decade, the artificial intelligence (AI) has undergone a revolution that is poised to transform the economy, society, and science. The pace of progress is staggering, and problems that seemed intractable just a few years ago have now be...
A streamable large-scale clinical EEG dataset for Deep Learning.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2022
Deep Learning has revolutionized various fields, including Computer Vision, Natural Language Processing, as well as Biomedical research. Within the field of neuroscience, specifically in electrophysiological neuroimaging, researchers are starting to ...
Natural Language Processing Applications in the Clinical Neurosciences: A Machine Learning Augmented Systematic Review.
Acta neurochirurgica. Supplement
Jan 1, 2022
Natural language processing (NLP), a domain of artificial intelligence (AI) that models human language, has been used in medicine to automate diagnostics, detect adverse events, support decision making and predict clinical outcomes. However, applicat...
Machine Intelligence in Clinical Neuroscience: Taming the Unchained Prometheus.
Acta neurochirurgica. Supplement
Jan 1, 2022
The democratization of machine learning (ML) through availability of open-source learning libraries, the availability of datasets in the "big data" era, increasing computing power even on mobile devices, and online training resources have both led to...
Yulong Li.
Neuron
Nov 3, 2021
In an interview with Neuron, Yulong Li discusses optical tool development and next steps to interrogate the whole brain. He further shares the importance of interdisciplinarity; how new tools for neural imaging, perturbation, and artificial intellige...
Neuroscience: Convergence of biological and artificial networks.
Current biology : CB
Sep 27, 2021
A new study shows that an artificial neural network trained to predict visual motion reproduces key properties of motion detecting circuits in the fruit fly.
Translational neuroscience applications for automated detection of rodent grooming with deep learning.
Lab animal
Sep 1, 2021
Visualizing a joint future of neuroscience and neuromorphic engineering.
Neuron
Feb 17, 2021
Recent research resolves the challenging problem of building biophysically plausible spiking neural models that are also capable of complex information processing. This advance creates new opportunities in neuroscience and neuromorphic engineering, w...
Neuroengineering challenges of fusing robotics and neuroscience.
Science robotics
Dec 9, 2020
Advances in neuroscience are inspiring developments in robotics and vice versa.
Limits of Neural Computation in Humans and Machines.
Science and engineering ethics
Oct 1, 2020
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...
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