Researchers have mapped and catalogued more than 70,000 synaptic connections from about 2,000 rat neurons, using a silicon chip capable of recording small yet telltale synaptic signals from a large ...

This important study provides new evidence on the role of norepinephrine (NE) release in the hippocampus in response to environmental transitions (event boundaries), providing a potential link between ...

Abstract: The Heterogeneous Information Network (HIN) stands out as a prominent tool for depicting interactions in real-world systems. Recently, representation learning on HINs has attracted ...

Specifically, a 1D convolutional neural network and a recurrent network were applied to learn temporal representations from channel-wise EEG in contrastive learning. The representations were ...

AAAI 2024 Papers: Explore a comprehensive collection of innovative research papers presented at one of the premier artificial intelligence conferences. Seamlessly integrate code implementations for ...

This work models reinforcement-learning experiments using a recurrent neural network. It examines if the detailed credit assignment necessary for back-propagation through time can be replaced with ...

supporting versatile tasks like time series forecasting, representation learning, and anomaly detection, etc., featured with quick tracking of SOTA deep models.