Federico Corradi
Orcid: 0000-0002-5868-8077Affiliations:
- Eindhoven University of Technology, The Netherlands
According to our database1,
Federico Corradi
authored at least 50 papers
between 2012 and 2024.
Collaborative distances:
Collaborative distances:
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on orcid.org
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on dl.acm.org
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Bibliography
2024
CoRR, 2024
Hardware-aware training of models with synaptic delays for digital event-driven neuromorphic processors.
CoRR, 2024
A Scalable Hardware Architecture for Efficient Learning of Recurrent Neural Networks at the Edge.
Proceedings of the 32nd IFIP/IEEE International Conference on Very Large Scale Integration, 2024
Proceedings of the 14th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, 2024
Active Dendrites Enable Efficient Continual Learning in Time-To-First-Spike Neural Networks.
Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024
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
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
Proceedings of the Artificial Neural Networks and Machine Learning, 2023
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 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
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
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
Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022
2021
Microprocess. Microsystems, November, 2021
Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks.
Nat. Mach. Intell., 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
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
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
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
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
CoRR, 2015
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015
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
Proceedings of the 21st European Conference on Circuit Theory and Design, 2013
Proceedings of the 2013 IEEE Biomedical Circuits and Systems Conference (BioCAS), Rotterdam, The Netherlands, October 31, 2013
2012
Proceedings of the 2012 IEEE Biomedical Circuits and Systems Conference, 2012