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Federico Corradi

Showing results (1-10 of 15) with videos related to

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IEEE Transactions on Biomedical Circuits and Systems|October 30, 2015
A Neuromorphic Event-Based Neural Recording System for Smart Brain-Machine-InterfacesFederico Corradi, Giacomo Indiveri
Frontiers in Neuroscience|June 7, 2021
μBrain: An Event-Driven and Fully Synthesizable Architecture for Spiking Neural NetworksJan Stuijt, Manolis Sifalakis, Amirreza Yousefzadeh, et al.
Scientific Reports|October 15, 2015
Real time unsupervised learning of visual stimuli in neuromorphic VLSI systemsMassimiliano Giulioni, Federico Corradi, Vittorio Dante, et al.
IEEE Transactions on Biomedical Circuits and Systems|October 15, 2014
Towards a neuromorphic vestibular systemFederico Corradi, Davide Zambrano, Marco Raglianti, et al.
Frontiers in Neuroscience|May 15, 2015
A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapsesNing Qiao, Hesham Mostafa, Federico Corradi, et al.
IEEE Transactions on Biomedical Circuits and Systems|August 30, 2024
NEXUS: A 28nm 3.3pJ/SOP 16-Core Spiking Neural Network With a Diamond Topology for Real-Time Data ProcessingMaryam Sadeghi, Yasser Rezaeiyan, Dario Fernandez Khatiboun, et al.
IEEE Transactions on Neural Networks and Learning Systems|September 14, 2021
Improving the Accuracy of Spiking Neural Networks for Radar Gesture Recognition Through PreprocessingAli Safa, Federico Corradi, Lars Keuninckx, et al.
IEEE Transactions on Biomedical Circuits and Systems|January 30, 2018
A Sensitive Dynamic and Active Pixel Vision Sensor for Color or Neural Imaging ApplicationsDiederik Paul Moeys, Federico Corradi, Chenghan Li, et al.
Sensors (Basel, Switzerland)|July 2, 2020
Wearable Monitoring and Interpretable Machine Learning Can Objectively Track Progression in Patients during Cardiac RehabilitationHélène De Cannière, Federico Corradi, Christophe J P Smeets, et al.
IEEE Transactions on Neural Networks and Learning Systems|July 27, 2018
NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature MapsAlessandro Aimar, Hesham Mostafa, Enrico Calabrese, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Biomedical Circuits and Systems|October 30, 2015
A Neuromorphic Event-Based Neural Recording System for Smart Brain-Machine-InterfacesFederico Corradi, Giacomo Indiveri
Frontiers in Neuroscience|June 7, 2021
μBrain: An Event-Driven and Fully Synthesizable Architecture for Spiking Neural NetworksJan Stuijt, Manolis Sifalakis, Amirreza Yousefzadeh, et al.
Scientific Reports|October 15, 2015
Real time unsupervised learning of visual stimuli in neuromorphic VLSI systemsMassimiliano Giulioni, Federico Corradi, Vittorio Dante, et al.
IEEE Transactions on Biomedical Circuits and Systems|October 15, 2014
Towards a neuromorphic vestibular systemFederico Corradi, Davide Zambrano, Marco Raglianti, et al.
Frontiers in Neuroscience|May 15, 2015
A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapsesNing Qiao, Hesham Mostafa, Federico Corradi, et al.
IEEE Transactions on Biomedical Circuits and Systems|August 30, 2024
NEXUS: A 28nm 3.3pJ/SOP 16-Core Spiking Neural Network With a Diamond Topology for Real-Time Data ProcessingMaryam Sadeghi, Yasser Rezaeiyan, Dario Fernandez Khatiboun, et al.
IEEE Transactions on Neural Networks and Learning Systems|September 14, 2021
Improving the Accuracy of Spiking Neural Networks for Radar Gesture Recognition Through PreprocessingAli Safa, Federico Corradi, Lars Keuninckx, et al.
IEEE Transactions on Biomedical Circuits and Systems|January 30, 2018
A Sensitive Dynamic and Active Pixel Vision Sensor for Color or Neural Imaging ApplicationsDiederik Paul Moeys, Federico Corradi, Chenghan Li, et al.
Sensors (Basel, Switzerland)|July 2, 2020
Wearable Monitoring and Interpretable Machine Learning Can Objectively Track Progression in Patients during Cardiac RehabilitationHélène De Cannière, Federico Corradi, Christophe J P Smeets, et al.
IEEE Transactions on Neural Networks and Learning Systems|July 27, 2018
NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature MapsAlessandro Aimar, Hesham Mostafa, Enrico Calabrese, et al.
Pageof 2