Author

Alessio Basti

University of Chieti-PescaraORCID 0000-0002-8392-7201Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:benchmarking· 1 Research Focus:dimensionality reduction· 1 Assay:electronic health records· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Laura MarzettiiD· 3 shared Vittorio PizzellaiD· 2 shared Antea D’AndreaiD· 1 shared Antonello BaldassarreiD· 1 shared Christoph ZrenneriD· 1 shared Francesco CicalaiD· 1 shared Gian Luca RomaniiD· 1 shared Giulia PieramicoiD· 1 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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3 shared papersNeuroscience

Laura MarzettiORCID

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3 papers

Recent·Most cited

A Mean-Field Approach to Criticality in Spiking Neural Networks for Reservoir Computing

Ruggero Freddi, Francesco Cicala, Laura Marzetti, Alessio Basti

This paper develops a mean-field framework to configure spiking neural networks in the critical regime for reservoir computing, showing improved performance and computational capacity near criticality.

Scientific Reports · Oct 6, 2025Peer-reviewedNeuroscience

Exploring Motor Network Connectivity in State-Dependent Transcranial Magnetic Stimulation: A Proof-of-Concept Study

Laura Marzetti, Alessio Basti, Roberto Guidotti, Antonello Baldassarre, Johanna Metsomaa, Christoph Zrenner, Antea D’Andrea, Saeed Makkinayeri, Giulia Pieramico, Risto Juhani Ilmoniemi, Ulf Ziemann, Gian Luca Romani, Vittorio Pizzella

This study investigates how pre-stimulation EEG connectivity of the primary motor cortex relates to motor network state and its impact on transcranial magnetic stimulation responses.

Biomedicines · Apr 25, 2024Peer-reviewedNeuroscience

Analysing linear multivariate pattern transformations in neuroimaging data

Alessio Basti, Marieke Mur, Nikolaus Kriegeskorte, Vittorio Pizzella, Laura Marzetti, Olaf Hauk

This paper introduces metrics to analyze linear transformations between multivariate fMRI patterns in different brain regions, showing they explain significant variance in output regions.

PLoS ONE · Oct 15, 2019Peer-reviewedNeuroscience