Author

Martino Sorbaro

KTH Royal Institute of TechnologyORCID 0000-0002-0182-7443Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Research Focus:clustering· 1 Assay:electronic health records· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Albert Puente Encinas· 1 shared Alessandro MaccioneiD· 1 shared Cesar Juarez Ramirez· 1 shared Dean V. BuonomanoiD· 1 shared Diego SonaiD· 1 shared Evelyne SernagoriD· 1 shared Francesca Cella ZanacchiiD· 1 shared Gerrit HilgeniD· 1 shared

Activity by Year

2017-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperNeuroscience

Albert Puente Encinas

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2 papers

Recent·Most cited

Stable recurrent dynamics in heterogeneous neuromorphic computing systems using excitatory and inhibitory plasticity

Maryada Maryada, Saray Soldado-Magraner, Martino Sorbaro, Rodrigo Laje, Dean V. Buonomano, Giacomo Indiveri

This paper demonstrates a learning rule for neuromorphic systems that balances excitation and inhibition, enabling robust self-sustained dynamics despite device variability.

Nature Communications · Jul 1, 2025Peer-reviewedNeuroscience

Unsupervised spike sorting for large scale, high density multielectrode arrays

Gerrit Hilgen, Martino Sorbaro, Sahar Pirmoradian, Jens-Oliver Muthmann, Ibolya E. Kepiro, Simona Ullo, Cesar Juarez Ramirez, Albert Puente Encinas, Alessandro Maccione, Luca Berdondini, Vittorio Murino, Diego Sona, Francesca Cella Zanacchi, Evelyne Sernagor, Matthias H. Hennig

This paper introduces an efficient spike sorting method for high-density multielectrode arrays, enabling fast and reliable clustering of millions of events.

Cell Reports · Mar 1, 2017Peer-reviewedNeuroscience