AIMC Topic:
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Training Spiking Neural Networks in the Strong Coupling Regime.

Neural computation Apr 13, 2021
Recurrent neural networks trained to perform complex tasks can provide insight into the dynamic mechanism that underlies computations performed by cortical circuits. However, due to a large number of unconstrained synaptic connections, the recurrent ...
Neural Networks, Computer Learning Models, Neurological Synapses
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The Remarkable Robustness of Surrogate Gradient Learning for Instilling Complex Function in Spiking Neural Networks.

Neural computation Mar 26, 2021
Brains process information in spiking neural networks. Their intricate connections shape the diverse functions these networks perform. Yet how network connectivity relates to function is poorly understood, and the functional capabilities of models of...
Neural Networks, Computer Algorithms Brain Learning Neurons
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New role for circuit expansion for learning in neural networks.

Physical review. E Feb 1, 2021
Many sensory pathways in the brain include sparsely active populations of neurons downstream from the input stimuli. The biological purpose of this expanded structure is unclear, but it may be beneficial due to the increased expressive power of the n...
Neural Networks, Computer Learning Models, Neurological Stochastic Processes
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New Avenues in Audio Intelligence: Towards Holistic Real-life Audio Understanding.

Trends in hearing Jan 1, 2021
Computer audition (i.e., intelligent audio) has made great strides in recent years; however, it is still far from achieving holistic hearing abilities, which more appropriately mimic human-like understanding. Within an audio scene, a human listener i...
Humans Neural Networks, Computer Learning Signal Processing, Computer-Assisted Intelligence Sound
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Interaction modeling and classification scheme for augmenting the response accuracy of human-robot interaction systems.

Work (Reading, Mass.) Jan 1, 2021
BACKGROUND: Human-robot interaction (HRI) is becoming a current research field for providing granular real-time applications and services through physical observation. Robotic systems are designed to handle the roles of humans and assist them through...
Humans Learning Robotics
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Autonomous balloons take flight with artificial intelligence.

Nature Dec 1, 2020
Artificial Intelligence Machine Learning Algorithms Learning Reinforcement, Psychology
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HONEM: Learning Embedding for Higher Order Networks.

Big data Aug 1, 2020
Representation learning on networks offers a powerful alternative to the oft painstaking process of manual feature engineering, and, as a result, has enjoyed considerable success in recent years. However, all the existing representation learning meth...
Neural Networks, Computer Software Algorithms Learning Computational Biology
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Generating Hyperspectral Skin Cancer Imagery using Generative Adversarial Neural Network.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
In this study we develop a proof of concept of using generative adversarial neural networks in hyperspectral skin cancer imagery production. Generative adversarial neural network is a neural network, where two neural networks compete. The generator t...
Humans Neural Networks, Computer Machine Learning Learning Skin Neoplasms Imagery, Psychotherapy
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Lung Sound Classification Using Snapshot Ensemble of Convolutional Neural Networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
We propose a robust and efficient lung sound classification system using a snapshot ensemble of convolutional neural networks (CNNs). A robust CNN architecture is used to extract high-level features from log mel spectrograms. The CNN architecture is ...
Humans Neural Networks, Computer Machine Learning Learning Respiratory Sounds
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Disentangled Adversarial Transfer Learning for Physiological Biosignals.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
Recent developments in wearable sensors demonstrate promising results for monitoring physiological status in effective and comfortable ways. One major challenge of physiological status assessment is the problem of transfer learning caused by the doma...
Machine Learning Learning Deep Learning Records Personally Identifiable Information
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