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Francesco Maria Puglisi

Showing results (1-10 of 14) with videos related to

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Micromachines|October 23, 2021
Multi-Input Logic-in-Memory for Ultra-Low Power Non-Von Neumann ComputingTommaso Zanotti, Paolo Pavan, Francesco Maria Puglisi
Micromachines|August 28, 2025
Design Strategies for Optimized Bulk-Linearized MOS Pseudo-ResistorLorenzo Benatti, Tommaso Zanotti, Francesco Maria Puglisi
Frontiers in Neuroscience|February 26, 2025
Editorial: Brain-inspired computing: from neuroscience to neuromorphic electronics for new forms of artificial intelligenceDaniela Gandolfi, Jonathan Mapelli, Francesco Maria Puglisi
Materials (Basel, Switzerland)|October 27, 2019
Multiscale Modeling for Application-Oriented Optimization of Resistive Random-Access MemoryPaolo La Torraca, Francesco Maria Puglisi, Andrea Padovani, et al.
Micromachines|July 2, 2021
On the Modeling of the Donor/Acceptor Compensation Ratio in Carbon-Doped GaN to Univocally Reproduce Breakdown Voltage and Current Collapse in Lateral GaN Power HEMTsNicolò Zagni, Alessandro Chini, Francesco Maria Puglisi, et al.
Frontiers in Cellular Neuroscience|January 6, 2023
Editorial: Brain-inspired computing: Neuroscience drives the development of new electronics and artificial intelligenceDaniela Gandolfi, Francesco Maria Puglisi, Alexander Serb, et al.
IEEE Transactions on Neural Networks and Learning Systems|September 13, 2022
A Hybrid CMOS-Memristor Spiking Neural Network Supporting Multiple Learning RulesDavide Florini, Daniela Gandolfi, Jonathan Mapelli, et al.
Materials (Basel, Switzerland)|February 6, 2019
Understanding Current Instabilities in Conductive Atomic Force MicroscopyLanlan Jiang, Jonas Weber, Francesco Maria Puglisi, et al.
Iscience|December 9, 2025
A network of Bayesian agents for reward prediction and noise toleranceDaniela Gandolfi, Mirco Tincani, Giulia Maria Boiani, et al.
Nanoscale|January 11, 2023
Hardware implementation of a true random number generator integrating a hexagonal boron nitride memristor with a commercial microcontrollerSebastian Pazos, Wenwen Zheng, Tommaso Zanotti, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Micromachines|October 23, 2021
Multi-Input Logic-in-Memory for Ultra-Low Power Non-Von Neumann ComputingTommaso Zanotti, Paolo Pavan, Francesco Maria Puglisi
Micromachines|August 28, 2025
Design Strategies for Optimized Bulk-Linearized MOS Pseudo-ResistorLorenzo Benatti, Tommaso Zanotti, Francesco Maria Puglisi
Frontiers in Neuroscience|February 26, 2025
Editorial: Brain-inspired computing: from neuroscience to neuromorphic electronics for new forms of artificial intelligenceDaniela Gandolfi, Jonathan Mapelli, Francesco Maria Puglisi
Materials (Basel, Switzerland)|October 27, 2019
Multiscale Modeling for Application-Oriented Optimization of Resistive Random-Access MemoryPaolo La Torraca, Francesco Maria Puglisi, Andrea Padovani, et al.
Micromachines|July 2, 2021
On the Modeling of the Donor/Acceptor Compensation Ratio in Carbon-Doped GaN to Univocally Reproduce Breakdown Voltage and Current Collapse in Lateral GaN Power HEMTsNicolò Zagni, Alessandro Chini, Francesco Maria Puglisi, et al.
Frontiers in Cellular Neuroscience|January 6, 2023
Editorial: Brain-inspired computing: Neuroscience drives the development of new electronics and artificial intelligenceDaniela Gandolfi, Francesco Maria Puglisi, Alexander Serb, et al.
IEEE Transactions on Neural Networks and Learning Systems|September 13, 2022
A Hybrid CMOS-Memristor Spiking Neural Network Supporting Multiple Learning RulesDavide Florini, Daniela Gandolfi, Jonathan Mapelli, et al.
Materials (Basel, Switzerland)|February 6, 2019
Understanding Current Instabilities in Conductive Atomic Force MicroscopyLanlan Jiang, Jonas Weber, Francesco Maria Puglisi, et al.
Iscience|December 9, 2025
A network of Bayesian agents for reward prediction and noise toleranceDaniela Gandolfi, Mirco Tincani, Giulia Maria Boiani, et al.
Nanoscale|January 11, 2023
Hardware implementation of a true random number generator integrating a hexagonal boron nitride memristor with a commercial microcontrollerSebastian Pazos, Wenwen Zheng, Tommaso Zanotti, et al.
Pageof 2