Martino Sorbaro, PhD - Publications
Affiliations: | ETH Zürich /University of Zürich |
Area:
Computational Neuroscience, Machine LearningYear | Citation | Score | |||
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2023 | Lässig F, Aceituno PV, Sorbaro M, Grewe BF. Bio-inspired, task-free continual learning through activity regularization. Biological Cybernetics. PMID 37589728 DOI: 10.1007/s00422-023-00973-w | 0.555 | |||
2022 | Büchel J, Lenz G, Hu Y, Sheik S, Sorbaro M. Adversarial attacks on spiking convolutional neural networks for event-based vision. Frontiers in Neuroscience. 16: 1068193. PMID 36636576 DOI: 10.3389/fnins.2022.1068193 | 0.301 | |||
2020 | Rule ME, Sorbaro M, Hennig MH. Optimal Encoding in Stochastic Latent-Variable Models. Entropy (Basel, Switzerland). 22. PMID 33286485 DOI: 10.3390/e22070714 | 0.619 | |||
2020 | Sorbaro M, Liu Q, Bortone M, Sheik S. Optimizing the Energy Consumption of Spiking Neural Networks for Neuromorphic Applications. Frontiers in Neuroscience. 14: 662. PMID 32694978 DOI: 10.3389/Fnins.2020.00662 | 0.366 | |||
2020 | Rule ME, Sorbaro M, Hennig MH. Optimal Encoding in Stochastic Latent-Variable Models Entropy. 22: 714. DOI: 10.3390/E22070714 | 0.61 | |||
2019 | Hennig MH, Hurwitz C, Sorbaro M. Scaling Spike Detection and Sorting for Next-Generation Electrophysiology. Advances in Neurobiology. 22: 171-184. PMID 31073936 DOI: 10.1007/978-3-030-11135-9_7 | 0.59 | |||
2017 | Hilgen G, Sorbaro M, Pirmoradian S, Muthmann JO, Kepiro IE, Ullo S, Ramirez CJ, Puente Encinas A, Maccione A, Berdondini L, Murino V, Sona D, Cella Zanacchi F, Sernagor E, Hennig MH. Unsupervised Spike Sorting for Large-Scale, High-Density Multielectrode Arrays. Cell Reports. 18: 2521-2532. PMID 28273464 DOI: 10.1016/J.Celrep.2017.02.038 | 0.593 | |||
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