Martino Sorbaro, PhD

Computational Neuroscience, Machine Learning

Matthias H. Hennig	grad student	2014-2018	Edinburgh
Arvind Kumar	grad student	2014-2018	KTH Royal Institute of Technology
Benjamin Grewe	post-doc		ETH Zürich /University of Zürich
Giacomo Indiveri	post-doc	2020-	ETH / Universität Zürich

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Lässig F, Aceituno PV, Sorbaro M, et al. (2023) Bio-inspired, task-free continual learning through activity regularization. Biological Cybernetics
Büchel J, Lenz G, Hu Y, et al. (2022) Adversarial attacks on spiking convolutional neural networks for event-based vision. Frontiers in Neuroscience. 16: 1068193
Rule ME, Sorbaro M, Hennig MH. (2020) Optimal Encoding in Stochastic Latent-Variable Models. Entropy (Basel, Switzerland). 22
Sorbaro M, Liu Q, Bortone M, et al. (2020) Optimizing the Energy Consumption of Spiking Neural Networks for Neuromorphic Applications. Frontiers in Neuroscience. 14: 662
Rule ME, Sorbaro M, Hennig MH. (2020) Optimal Encoding in Stochastic Latent-Variable Models Entropy. 22: 714
Hennig MH, Hurwitz C, Sorbaro M. (2019) Scaling Spike Detection and Sorting for Next-Generation Electrophysiology. Advances in Neurobiology. 22: 171-184
Hilgen G, Sorbaro M, Pirmoradian S, et al. (2017) Unsupervised Spike Sorting for Large-Scale, High-Density Multielectrode Arrays. Cell Reports. 18: 2521-2532