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Daniele Ielmini

Showing results (11-20 of 44) with videos related to

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Frontiers in Neuroscience|February 3, 2015
A 2-transistor/1-resistor artificial synapse capable of communication and stochastic learning in neuromorphic systemsZhongqiang Wang, Stefano Ambrogio, Simone Balatti, et al.
Materials (Basel, Switzerland)|January 8, 2020
Memristive and CMOS Devices for Neuromorphic ComputingValerio Milo, Gerardo Malavena, Christian Monzio Compagnoni, et al.
Frontiers in Neuroscience|December 16, 2022
Editorial: Novel materials, devices and solutions for brain-inspired sensing and computingChristian Monzio Compagnoni, Shimeng Yu, Weisheng Zhao, et al.
Proceedings of the National Academy of Sciences of the United States of America|February 21, 2019
Solving matrix equations in one step with cross-point resistive arraysZhong Sun, Giacomo Pedretti, Elia Ambrosi, et al.
Small (Weinheim an Der Bergstrasse, Germany)|August 30, 2011
Resistive-switching crossbar memory based on Ni-NiO core-shell nanowiresCarlo Cagli, Federico Nardi, Bruce Harteneck, et al.
Frontiers in Neuroscience|September 7, 2021
A Brain-Inspired Homeostatic Neuron Based on Phase-Change Memories for Efficient Neuromorphic ComputingIrene Muñoz-Martin, Stefano Bianchi, Shahin Hashemkhani, et al.
Journal of Nanoscience and Nanotechnology|April 26, 2007
Silicon nanocrystal memories: a status updateChristian Monzio Compagnoni, Riccardo Gusmeroli, Daniele Ielmini, et al.
Advanced Materials (Deerfield Beach, Fla.)|October 12, 2022
Reservoir Computing with Charge-Trap Memory Based on a MoS<sub>2</sub> Channel for Neuromorphic EngineeringMatteo Farronato, Piergiulio Mannocci, Margherita Melegari, et al.
Frontiers in Neuroscience|March 26, 2016
Unsupervised Learning by Spike Timing Dependent Plasticity in Phase Change Memory (PCM) SynapsesStefano Ambrogio, Nicola Ciocchini, Mario Laudato, et al.
Nature Communications|January 19, 2026
In-memory analog computing for non-negative matrix factorizationShiqing Wang, Yubiao Luo, Pushen Zuo, et al.
Pageof 5

Showing results (11-20 of 44) with videos related to

Sort By:
Pageof 5
Frontiers in Neuroscience|February 3, 2015
A 2-transistor/1-resistor artificial synapse capable of communication and stochastic learning in neuromorphic systemsZhongqiang Wang, Stefano Ambrogio, Simone Balatti, et al.
Materials (Basel, Switzerland)|January 8, 2020
Memristive and CMOS Devices for Neuromorphic ComputingValerio Milo, Gerardo Malavena, Christian Monzio Compagnoni, et al.
Frontiers in Neuroscience|December 16, 2022
Editorial: Novel materials, devices and solutions for brain-inspired sensing and computingChristian Monzio Compagnoni, Shimeng Yu, Weisheng Zhao, et al.
Proceedings of the National Academy of Sciences of the United States of America|February 21, 2019
Solving matrix equations in one step with cross-point resistive arraysZhong Sun, Giacomo Pedretti, Elia Ambrosi, et al.
Small (Weinheim an Der Bergstrasse, Germany)|August 30, 2011
Resistive-switching crossbar memory based on Ni-NiO core-shell nanowiresCarlo Cagli, Federico Nardi, Bruce Harteneck, et al.
Frontiers in Neuroscience|September 7, 2021
A Brain-Inspired Homeostatic Neuron Based on Phase-Change Memories for Efficient Neuromorphic ComputingIrene Muñoz-Martin, Stefano Bianchi, Shahin Hashemkhani, et al.
Journal of Nanoscience and Nanotechnology|April 26, 2007
Silicon nanocrystal memories: a status updateChristian Monzio Compagnoni, Riccardo Gusmeroli, Daniele Ielmini, et al.
Advanced Materials (Deerfield Beach, Fla.)|October 12, 2022
Reservoir Computing with Charge-Trap Memory Based on a MoS<sub>2</sub> Channel for Neuromorphic EngineeringMatteo Farronato, Piergiulio Mannocci, Margherita Melegari, et al.
Frontiers in Neuroscience|March 26, 2016
Unsupervised Learning by Spike Timing Dependent Plasticity in Phase Change Memory (PCM) SynapsesStefano Ambrogio, Nicola Ciocchini, Mario Laudato, et al.
Nature Communications|January 19, 2026
In-memory analog computing for non-negative matrix factorizationShiqing Wang, Yubiao Luo, Pushen Zuo, et al.
Pageof 5