Publications by authors named "Arnau Marin-Llobet"
Spike sorting is a fundamental process for decoding neural activity, involving preprocessing, spike detection, feature extraction, clustering, and validation. However, conventional spike sorting methods are highly fragmented, labor-intensive, and heavily reliant on expert manual curation, limiting their scalability and reproducibility. This challenge has become more pressing with advances in neural recording technology, such as high-density Neuropixels for large-scale neural recording or flexible electrodes for long-term stable recording over months to years.
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- The study introduces a novel method for measuring the conductivity and relative permittivity of anisotropic biological tissues like the tongue, combining non-invasive electrical impedance myography (EIM) with theoretical modeling.
- Finite-element method (FEM) simulations validate the accuracy of the proposed method, showing minimal errors (under 2.6%) while successfully mapping electrical properties in three-dimensional tissue models.
- This innovative approach enhances EIM technology, paving the way for improved tools that can assess tongue health and contribute to a better understanding of biological tissues.