Muratore Paolo
Classe Accademica:
Corso di Studio:
Fisica
Anno di ammissione:
2017
Progetti di ricerca:
- Holographic Techniques for Brain Imaging
Tesi:
Maximum Likelihood Methods for Biologically Plausible Learning in Recurrent Spiking Networks
Tesi SSAS:
General Relativity as a Speculative Novel Framework for Neural Dynamics
Esperienze di rilievo nazionali e internazionali:
EITN Spring School - Paris, France
Pubblicazioni:
1.Muratore, P., Capone, C. & Paolucci, P. S. Target spike patterns enable efficient and biologically plausible learning for complex temporal tasks. PLOS ONE 16, e0247014 (2021). 2.Piasini, E. et al. Temporal stability of stimulus representation increases along rodent visual cortical hierarchies. Nat Commun 12, 4448 (2021).