Federico Corradi

According to our database1, Federico Corradi authored at least 28 papers between 2012 and 2021.

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Bibliography

2021
Effective and Efficient Spiking Recurrent Neural Networks.
ERCIM News, 2021

Evolved neuromorphic radar-based altitude controller for an autonomous open-source blimp.
CoRR, 2021

Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks.
CoRR, 2021

Gyro: A Digital Spiking Neural Network Architecture for Multi-Sensory Data Analytics.
Proceedings of the DroneSE and RAPIDO '21: Methods and Tools, 2021

2020
Wearable Monitoring and Interpretable Machine Learning Can Objectively Track Progression in Patients during Cardiac Rehabilitation.
Sensors, 2020

Effective and Efficient Computation with Multiple-timescale Spiking Recurrent Neural Networks.
Proceedings of the International Conference on Neuromorphic Systems, 2020

Key Enabling Technologies for Drones.
Proceedings of the 23rd Euromicro Conference on Digital System Design, 2020

2019
NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps.
IEEE Trans. Neural Networks Learn. Syst., 2019

A 132 by 104 10μm-Pixel 250μW 1kefps Dynamic Vision Sensor with Pixel-Parallel Noise and Spatial Redundancy Suppression.
Proceedings of the 2019 Symposium on VLSI Circuits, Kyoto, Japan, June 9-14, 2019, 2019

ECG-based Heartbeat Classification in Neuromorphic Hardware.
Proceedings of the International Joint Conference on Neural Networks, 2019

DHP19: Dynamic Vision Sensor 3D Human Pose Dataset.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Real Time Electrocardiogram Annotation with a Long Short Term Memory Neural Network.
Proceedings of the 2019 IEEE Biomedical Circuits and Systems Conference, 2019

2018
A Sensitive Dynamic and Active Pixel Vision Sensor for Color or Neural Imaging Applications.
IEEE Trans. Biomed. Circuits Syst., 2018

Power-Accuracy Trade-Offs for Heartbeat Classification on Neural Networks Hardware.
J. Low Power Electron., 2018

PRED18: Dataset and Further Experiments with DAVIS Event Camera in Predator-Prey Robot Chasing.
CoRR, 2018

2017
Live demonstration: Convolutional neural network driven by dynamic vision sensor playing RoShamBo.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

2016
Steering a predator robot using a mixed frame/event-driven convolutional neural network.
Proceedings of the Second International Conference on Event-based Control, 2016

2015
A Neuromorphic Event-Based Neural Recording System for Smart Brain-Machine-Interfaces.
IEEE Trans. Biomed. Circuits Syst., 2015

Real time unsupervised learning of visual stimuli in neuromorphic VLSI systems.
CoRR, 2015

Decision making and perceptual bistability in spike-based neuromorphic VLSI systems.
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015

2014
Towards a Neuromorphic Vestibular System.
IEEE Trans. Biomed. Circuits Syst., 2014

A hybrid analog/digital Spike-Timing Dependent Plasticity learning circuit for neuromorphic VLSI multi-neuron architectures.
Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014

Mapping arbitrary mathematical functions and dynamical systems to neuromorphic VLSI circuits for spike-based neural computation.
Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014

A spiking implementation of the lamprey's Central Pattern Generator in neuromorphic VLSI.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2014

Toward neuromorphic intelligent brain-machine interfaces: An event-based neural recording and processing system.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2014

2013
Automated synthesis of asynchronous event-based interfaces for neuromorphic systems.
Proceedings of the 21st European Conference on Circuit Theory and Design, 2013

Implementation of a neuromorphic vestibular sensor with analog VLSI neurons.
Proceedings of the 2013 IEEE Biomedical Circuits and Systems Conference (BioCAS), Rotterdam, The Netherlands, October 31, 2013

2012
Learning to recognize visual stimuli in neuromorphic VLSI.
Proceedings of the 2012 IEEE Biomedical Circuits and Systems Conference, 2012


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