NeuroNella: Automatic identification of neural activity from multielectrode arrays with blind source separation - Journal of Neural Engineering, 2025
Germer, C., Farina, D., Baker, S. N., Del Vecchio, A. Abstract Objective. The identification of individual neuronal activity from multielectrode arrays poses significant challenges, including handling data from numerous electrodes, resolving overlapping action potentials and tracking activity across long recordings. This study introduces NeuroNella, an automated algorithm developed to address these challenges. Approach. NeuroNella employs blind source separation to leverage t
Apr 16, 20251 min read
