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@NeuRoNeLab

NeuRoNeLab

Neural and Robotics Networks laboratory at Università degli Studi di Salerno

NeuRoNeLab

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Welcome to the GitHub organization for NeuRoNeLab, an academic laboratory focused on artificial intelligence and pattern recognition, deep learning, bioinformatics, bioimaging and bio-inspired deep neural networks.

Our mission is to advance the field of artificial intelligence and pattern recognition by developing innovative deep learning models inspired by the nervous system of living beings, as well as by exploring new theoretical directions and applications of deep learning techniques. Our work spans a wide range of domains, including bioinformatics, scientific computing, and neuroimaging.

Research Topics

Our laboratory's research interests include:

  • Artificial Intelligence and Pattern Recognition
  • Deep Learning for bioinformatics, biological and medical imaging, remote sensing, scientific computing
  • Bio-Inspired Deep Neural Networks and neural models
  • Connectomic Deep Learning
  • Graph Neural Networks

Research Projects

Our laboratory is involved in several research projects related to our research interests, including:

  • Elegans-AI: a deep learning model inspired by the nervous system of the C. Elegans nematode worm. The model incorporate evolutionary pressure features in its structure, allowing it to process the information in very efficient and effective way (Paper published on Neurocomputing.

Contact Us

If you are interested in learning more about our research, please feel free to contact us at:

Thank you for your interest in our laboratory!

Popular repositories Loading

  1. RS-DatasetsHub RS-DatasetsHub Public

    A hub hosting essential remote sensing datasets.

    8 1

  2. RSDiX-CLIP RSDiX-CLIP Public

    Custom multi-modal CLIP-based embedding and captioning models fine-tuned on remote sensing data using an additional self-distillation loss to mitigate intra-class similarities

    Python 1 1

  3. .github .github Public

Repositories

Showing 3 of 3 repositories
  • RSDiX-CLIP Public

    Custom multi-modal CLIP-based embedding and captioning models fine-tuned on remote sensing data using an additional self-distillation loss to mitigate intra-class similarities

    NeuRoNeLab/RSDiX-CLIP’s past year of commit activity
    Python 1 GPL-3.0 1 0 0 Updated Nov 19, 2024
  • .github Public
    NeuRoNeLab/.github’s past year of commit activity
    0 GPL-3.0 0 0 0 Updated May 22, 2024
  • RS-DatasetsHub Public

    A hub hosting essential remote sensing datasets.

    NeuRoNeLab/RS-DatasetsHub’s past year of commit activity
    8 GPL-3.0 1 0 0 Updated Dec 7, 2023

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