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Alessio Paolo Buccino
Alessio Paolo Buccino
Allen Institute for Neural Dynamics
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Hybrid EEG-fNIRS asynchronous brain-computer interface for multiple motor tasks
AP Buccino, HO Keles, A Omurtag
PloS one 11 (1), e0146610, 2016
1332016
SpikeInterface, a unified framework for spike sorting
AP Buccino*, CL Hurwitz*, S Garcia, J Magland, JH Siegle, R Hurwitz, ...
Elife 9, e61834, 2020
652020
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
412020
Mearec: a fast and customizable testbench simulator for ground-truth extracellular spiking activity
AP Buccino, GT Einevoll
Neuroinformatics 19 (1), 185-204, 2021
242021
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
242018
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
222018
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
202019
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 5 (3), 2000223, 2021
132021
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
132017
Scalable spike source localization in extracellular recordings using amortized variational inference
C Hurwitz, K Xu, A Srivastava, A Buccino, M Hennig
Advances in Neural Information Processing Systems 32, 2019
92019
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
92018
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
92018
Optogenetic pacing of medial septum parvalbumin-positive cells disrupts temporal but not spatial firing in grid cells
ME Lepperød, AC Christensen, KK Lensjø, AP Buccino, J Yu, M Fyhn, ...
Science advances 7 (19), eabd5684, 2021
82021
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
62016
Biopotential measurements and electrodes
A Akinin, A Paul, J Wang, A Buccino, G Cauwenberghs
Neural Engineering, 65-96, 2020
42020
How do spike collisions affect spike sorting performance?
S Garcia, A Buccino, P Yger
biorXiv, 2021
32021
Experimental pipeline (expipe): a lightweight data management platform to simplify the steps from experiment to data analysis
ME Lepperød, SA Dragly, AP Buccino, MH Mobarhan, ...
Frontiers in Neuroinformatics 14, 30, 2020
32020
Spike sorting: new trends and challenges of the era of high-density probes
AP Buccino, S Garcia, P Yger
Progress in Biomedical Engineering, 2022
22022
A modulated template-matching approach to improve spike sorting of bursting neurons
PS Shabestari, AP Buccino, SS Kumar, A Pedrocchi, A Hierlemann
2021 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-4, 2021
22021
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
22018
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