Federico Corradi

Orcid: 0000-0002-5868-8077

Affiliations:
  • Eindhoven University of Technology, The Netherlands


According to our database1, Federico Corradi authored at least 44 papers between 2012 and 2023.

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Timeline

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Bibliography

2023
Improving the Accuracy of Spiking Neural Networks for Radar Gesture Recognition Through Preprocessing.
IEEE Trans. Neural Networks Learn. Syst., June, 2023

Accurate online training of dynamical spiking neural networks through Forward Propagation Through Time.
Nat. Mac. Intell., May, 2023

NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking.
CoRR, 2023

Digital Implementation of On-Chip Hebbian Learning for Oscillatory Neural Network.
Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2023

Empirical study on the efficiency of Spiking Neural Networks with axonal delays, and algorithm-hardware benchmarking.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023


2022
An Implantable Neuromorphic Sensing System Featuring Near-Sensor Computation and Send-on-Delta Transmission for Wireless Neural Sensing of Peripheral Nerves.
IEEE J. Solid State Circuits, 2022

CONVOLVE: Smart and seamless design of smart edge processors.
CoRR, 2022

Evolved neuromorphic radar-based altitude controller for an autonomous open-source blimp.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Attentive Decision-making and Dynamic Resetting of Continual Running SRNNs for End-to-End Streaming Keyword Spotting.
Proceedings of the ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27, 2022

An Event-driven Recurrent Spiking Neural Network Architecture for Efficient Inference on FPGA.
Proceedings of the ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27, 2022

Radar Perception for Autonomous Unmanned Aerial Vehicles: a Survey.
Proceedings of the DroneSE and RAPIDO '22: System Engineering for constrained embedded systems, Budapest Hungary, January 17, 2022

Design of Many-Core Big Little µBrains for Energy-Efficient Embedded Neuromorphic Computing.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

SENeCA: Scalable Energy-efficient Neuromorphic Computer Architecture.
Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

2021
Key technologies for safe and autonomous drones.
Microprocess. Microsystems, November, 2021

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

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

Design of Many-Core Big Little μBrain for Energy-Efficient Embedded Neuromorphic Computing.
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

A 28.2 μC Neuromorphic Sensing System Featuring SNN-based Near-sensor Computation and Event-Driven Body-Channel Communication for Insertable Cardiac Monitoring.
Proceedings of the IEEE Asian Solid-State Circuits Conference, 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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