Unsupervised spike sorting for large-scale, high-density multielectrode arrays G Hilgen, M Sorbaro, S Pirmoradian, JO Muthmann, IE Kepiro, S Ullo, ... Cell reports 18 (10), 2521-2532, 2017 | 120 | 2017 |
Optimizing the energy consumption of spiking neural networks for neuromorphic applications M Sorbaro, Q Liu, M Bortone, S Sheik Frontiers in neuroscience 14, 662, 2020 | 78 | 2020 |
Critical behavior of the relaxation rate, the susceptibility, and a pair correlation function in the Kuramoto model on scale-free networks S Yoon, M Sorbaro Sindaci, AV Goltsev, JFF Mendes Physical Review E 91 (3), 032814, 2015 | 41 | 2015 |
Scaling spike detection and sorting for next-generation electrophysiology MH Hennig, C Hurwitz, M Sorbaro In Vitro Neuronal Networks: From Culturing Methods to Neuro-Technological …, 2019 | 24 | 2019 |
Adversarial Attacks on Spiking Convolutional Neural Networks for Event-based Vision J Büchel, G Lenz, Y Hu, S Sheik, M Sorbaro Frontiers in Neuroscience 16, 2184, 2022 | 14* | 2022 |
Forward learning with top-down feedback: Empirical and analytical characterization RF Srinivasan, F Mignacco, M Sorbaro, M Refinetti, A Cooper, G Kreiman, ... The Twelfth International Conference on Learning Representations, 2024 | 11 | 2024 |
Optimal encoding in stochastic latent-variable models ME Rule, M Sorbaro, MH Hennig Entropy 22 (7), 714, 2020 | 10 | 2020 |
Statistical models of neural activity, criticality, and Zipf’s law M Sorbaro, JM Herrmann, M Hennig The functional role of critical dynamics in neural systems, 265-287, 2019 | 6 | 2019 |
Bio-inspired, task-free continual learning through activity regularization F Lässig, PV Aceituno, M Sorbaro, BF Grewe Biological Cybernetics 117 (4), 345-361, 2023 | 4 | 2023 |
Stable recurrent dynamics in heterogeneous neuromorphic computing systems using excitatory and inhibitory plasticity S Soldado-Magraner, M Sorbaro, R Laje, D Buonomano, G Indiveri bioRxiv, 2023.08. 14.553298, 2024 | | 2024 |