GIUSEPPE PICA
Titolo
Citata da
Citata da
Anno
An inhibitory gate for state transition in cortex
S Zucca, G D’Urso, V Pasquale, D Vecchia, G Pica, S Bovetti, C Moretti, ...
Elife 6, e26177, 2017
632017
Surface code architecture for donors and dots in silicon with imprecise and nonuniform qubit couplings
G Pica, BW Lovett, RN Bhatt, T Schenkel, SA Lyon
Physical Review B 93 (3), 035306, 2016
602016
Hyperfine Stark effect of shallow donors in silicon
G Pica, G Wolfowicz, M Urdampilleta, MLW Thewalt, H Riemann, ...
Physical Review B 90 (19), 195204, 2014
522014
Strain-induced nuclear quadrupole splittings in silicon devices
JJ Pla, A Bienfait, G Pica, J Mansir, FA Mohiyaddin, A Morello, T Schenkel, ...
arXiv preprint arXiv:1608.07346, 2016
35*2016
Exchange coupling between silicon donors: The crucial role of the central cell and mass anisotropy
G Pica, BW Lovett, RN Bhatt, SA Lyon
Physical Review B 89 (23), 235306, 2014
342014
Quantifying how much sensory information in a neural code is relevant for behavior
G Pica, E Piasini, H Safaai, CA Runyan, ME Diamond, T Fellin, C Kayser, ...
arXiv preprint arXiv:1712.02449, 2017
212017
Invariant components of synergy, redundancy, and unique information among three variables
G Pica, E Piasini, D Chicharro, S Panzeri
Entropy 19 (9), 451, 2017
212017
Quantum gates with donors in germanium
G Pica, BW Lovett
Physical Review B 94 (20), 205309, 2016
102016
Correlations enhance the behavioral readout of neural population activity in association cortex
M Valente, G Pica, G Bondanelli, M Moroni, CA Runyan, AS Morcos, ...
Nature Neuroscience, 1-12, 2021
72021
Quadrupole shift of nuclear magnetic resonance of donors in silicon at low magnetic field
PA Mortemousque, S Rosenius, G Pica, DP Franke, T Sekiguchi, ...
Nanotechnology 27 (49), 494001, 2016
72016
The identity of information: how deterministic dependencies constrain information synergy and redundancy
D Chicharro, G Pica, S Panzeri
Entropy 20 (3), 169, 2018
42018
Using intersection information to map stimulus information transfer within neural networks
G Pica, M Soltanipour, S Panzeri
BioSystems 185, 104028, 2019
32019
Donor electron states for silicon quantum computing: from single spins to scaled architectures
G Pica
University of St Andrews, 2015
2015
Supplementary information for Quantifying how much sensory information in a neural code is relevant for behavior
G Pica, E Piasini, H Safaai, CA Runyan, ME Diamond, T Fellin, C Kayser, ...
Il sistema al momento non pu eseguire l'operazione. Riprova pi tardi.
Articoli 1–14