This important computational study investigates homeostatic plasticity mechanisms that neurons may employ to achieve and maintain stable target activity patterns. The work extends previous analyses of ...

This valuable study shows that an odorant that is typically thought of as a repellant actually activates both attractant and repellant olfactory neurons in C. elegans. Solid evidence is provided that ...

To address this bottleneck, Dunn and his team developed DANNCE, or 3-Dimensional Aligned Neural Network for Computational Ethology, in 2021. Using videos of freely moving rats, the team trained ...

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Graph neural networks (GNNs), as a new kind of deep learning method, can use EEG signals as graph vertices, capturing the hidden topological connections between signals. GNNs have made great progress ...