Alessio Paolo Buccino
Alessio Paolo Buccino
Postdoc ETH
Verified email at - Homepage
Cited by
Cited by
Hybrid EEG-fNIRS asynchronous brain-computer interface for multiple motor tasks
AP Buccino, HO Keles, A Omurtag
PloS one 11 (1), e0146610, 2016
SpikeInterface, a unified framework for spike sorting
AP Buccino*, CL Hurwitz*, S Garcia, J Magland, JH Siegle, R Hurwitz, ...
Elife 9, e61834, 2020
SpikeForest, reproducible web-facing ground-truth validation of automated neural spike sorters
J Magland, JJ Jun, E Lovero, AJ Morley, CL Hurwitz, AP Buccino, ...
Elife 9, e55167, 2020
Combining biophysical modeling and deep learning for multielectrode array neuron localization and classification
AP Buccino*, M Kordovan*, TV Ness, B Merkt, PD Häfliger, M Fyhn, ...
Journal of neurophysiology 120 (3), 1212-1232, 2018
Open source modules for tracking animal behavior and closed-loop stimulation based on Open Ephys and Bonsai
AP Buccino, ME Lepperød, SA Dragly, P Häfliger, M Fyhn, T Hafting
Journal of neural engineering 15 (5), 055002, 2018
How does the presence of neural probes affect extracellular potentials?
AP Buccino, M Kuchta, KH Jæger, TV Ness, P Berthet, KA Mardal, ...
Journal of neural engineering 16 (2), 026030, 2019
Localizing neuronal somata from multi-electrode array in-vivo recordings using deep learning
AP Buccino, TV Ness, GT Einevoll, G Cauwenberghs, PD Häfliger
2017 39th Annual International Conference of the IEEE Engineering in …, 2017
Mearec: a fast and customizable testbench simulator for ground-truth extracellular spiking activity
AP Buccino, GT Einevoll
Neuroinformatics 19 (1), 185-204, 2021
A deep learning approach for the classification of neuronal cell types
AP Buccino, TV Ness, GT Einevoll, G Cauwenberghs, PD Häfliger
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
Scalable spike source localization in extracellular recordings using amortized variational inference
CL Hurwitz, K Xu, A Srivastava, AP Buccino, MH Hennig
arXiv preprint arXiv:1905.12375, 2019
Extracellular single neuron stimulation with high-density multi-electrode array
AP Buccino, T Stöber, S Næss, G Cauwenberghs, P Häfliger
2016 IEEE Biomedical Circuits and Systems Conference (BioCAS), 520-523, 2016
Independent component analysis for fully automated multi-electrode array spike sorting
AP Buccino, E Hagen, GT Einevoll, PD Häfliger, G Cauwenberghs
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
Development of a hybrid EEG-NIRS brain computer interface for multiple motor tasks
AP Buccino
Italy, 2015
Improving Neural Simulations with the EMI Model
AP Buccino, M Kuchta, J Schreiner, KA Mardal
Modeling Excitable Tissue, 87-98, 2020
Electrophysiological Phenotype Characterization of Human iPSC‐Derived Neuronal Cell Lines by Means of High‐Density Microelectrode Arrays
S Ronchi, AP Buccino, G Prack, SS Kumar, M Schröter, M Fiscella, ...
Advanced Biology, 2000223, 2020
A multi-modal fitting procedure to construct biophysically detailed multicompartment neuronal models
AP Buccino, T Damart, D Mandge, M Zbili, W Van Geit, H Markram, ...
Neuromatch 3.0, 2020
Biopotential Measurements and Electrodes
A Akinin, A Paul, J Wang, A Buccino, G Cauwenberghs
Neural Engineering, 65-96, 2020
Experimental pipeline (Expipe): A lightweight data management platform to simplify the steps from experiment to data analysis
ME Lepperød, SA Dragly, AP Buccino, M Mobarhan, A Malthe-Sorenssen, ...
Frontiers in Neuroinformatics 14, 30, 2020
A computationally-assisted approach to extracellular neural electrophysiology with multi-electrode arrays
AP Buccino
Real-Time Spike Sorting for Multi-Electrode Arrays with Online Independent Component Analysis
AP Buccino, SH Hsu, G Cauwenberghs
2018 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-4, 2018
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Articles 1–20