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Federico Corradi
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- affiliation: Eindhoven University of Technology, The Netherlands
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2020 – today
- 2024
- [c31]Lorenzo Pes, Rick Luiken, Federico Corradi, Charlotte Frenkel:
Active Dendrites Enable Efficient Continual Learning in Time-To-First-Spike Neural Networks. AICAS 2024: 41-45 - [c30]Federico Corradi
, Zhanbo Shen
Accelerated Spiking Convolutional Neural Networks for Scalable Population Genomics. HEART 2024: 53-62 - [c29]Yicheng Zhang, Manil Dev Gomony, Henk Corporaal, Federico Corradi:
A Scalable Hardware Architecture for Efficient Learning of Recurrent Neural Networks at the Edge. VLSI-SoC 2024: 1-4 - [i16]Alberto Patiño-Saucedo, Roy Meijer, Amirreza Yousefzadeh
Hardware-aware training of models with synaptic delays for digital event-driven neuromorphic processors. CoRR abs/2404.10597 (2024) - [i15]Lorenzo Pes
Active Dendrites Enable Efficient Continual Learning in Time-To-First-Spike Neural Networks. CoRR abs/2404.19419 (2024) - [i14]Yuncheng Yuan, Péter Scheepers, Lydia Tasiou, Yunus Can Gültekin, Federico Corradi, Alex Alvarado:
On the Design and Performance of Machine Learning Based Error Correcting Decoders. CoRR abs/2410.15899 (2024) - 2023
- [j11]Bojian Yin
Accurate online training of dynamical spiking neural networks through Forward Propagation Through Time. Nat. Mac. Intell. 5(5): 518-527 (2023) - [j10]Ali Safa
Improving the Accuracy of Spiking Neural Networks for Radar Gesture Recognition Through Preprocessing. IEEE Trans. Neural Networks Learn. Syst. 34(6): 2869-2881 (2023) - [c28]Manil Dev Gomony
PetaOps/W edge-AI $\mu$ Processors: Myth or reality? DATE 2023: 1-6 - [c27]Sherif Eissa, Federico Corradi
QMTS: Fixed-point Quantization for Multiple-timescale Spiking Neural Networks. ICANN (1) 2023: 407-419 - [c26]Alberto Patiño-Saucedo
Empirical study on the efficiency of Spiking Neural Networks with axonal delays, and algorithm-hardware benchmarking. ISCAS 2023: 1-5 - [c25]Edgar Luhulima, Madeleine Abernot, Federico Corradi
Digital Implementation of On-Chip Hebbian Learning for Oscillatory Neural Network. ISLPED 2023: 1-6 - [i13]Jason Yik, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas G. Andreou, Chiara Bartolozzi, Arindam Basu, Douwe den Blanken, Petrut Bogdan, Sander M. Bohté, Younes Bouhadjar, Sonia M. Buckley, Gert Cauwenberghs
NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. CoRR abs/2304.04640 (2023) - [i12]Alberto Patiño-Saucedo, Amirreza Yousefzadeh, Guangzhi Tang, Federico Corradi, Bernabé Linares-Barranco, Manolis Sifalakis:
Empirical study on the efficiency of Spiking Neural Networks with axonal delays, and algorithm-hardware benchmarking. CoRR abs/2309.05345 (2023) - 2022
- [j9]Yuming He
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 57(10): 3058-3070 (2022) - [c24]Amirreza Yousefzadeh, Gert-Jan van Schaik, Mohammad Tahghighi, Paul Detterer, Stefano Traferro, Martijn Hijdra, Jan Stuijt, Federico Corradi
SENeCA: Scalable Energy-efficient Neuromorphic Computer Architecture. AICAS 2022: 371-374 - [c23]M. Lakshmi Varshika, Adarsha Balaji, Federico Corradi
Design of Many-Core Big Little µBrains for Energy-Efficient Embedded Neuromorphic Computing. DATE 2022: 1011-1016 - [c22]Federico Corradi
Radar Perception for Autonomous Unmanned Aerial Vehicles: a Survey. DroneSE/RAPIDO@HiPEAC 2022: 14-20 - [c21]Bojian Yin
Attentive Decision-making and Dynamic Resetting of Continual Running SRNNs for End-to-End Streaming Keyword Spotting. ICONS 2022: 5:1-5:8 - [c20]Anand Sankaran, Paul Detterer, Kalpana Kannan, Nikolaos Alachiotis, Federico Corradi
An Event-driven Recurrent Spiking Neural Network Architecture for Efficient Inference on FPGA. ICONS 2022: 12:1-12:8 - [c19]Marina González-Álvarez, Julien Dupeyroux
Evolved neuromorphic radar-based altitude controller for an autonomous open-source blimp. ICRA 2022: 85-90 - [i11]Manil Dev Gomony
CONVOLVE: Smart and seamless design of smart edge processors. CoRR abs/2212.00873 (2022) - 2021
- [j8]Mahmoud Hussein, Réda Nouacer, Federico Corradi
Key technologies for safe and autonomous drones. Microprocess. Microsystems 87: 104348 (2021) - [j7]Bojian Yin
Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks. Nat. Mach. Intell. 3(10): 905-913 (2021) - [c18]Yuming He, Federico Corradi
A 28.2 μC Neuromorphic Sensing System Featuring SNN-based Near-sensor Computation and Event-Driven Body-Channel Communication for Insertable Cardiac Monitoring. A-SSCC 2021: 1-3 - [c17]Federico Corradi
Gyro: A Digital Spiking Neural Network Architecture for Multi-Sensory Data Analytics. DroneSE/RAPIDO@HiPEAC 2021: 9-15 - [i10]Bojian Yin, Federico Corradi, Sander M. Bohté:
Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks. CoRR abs/2103.12593 (2021) - [i9]Marina González-Álvarez, Julien Dupeyroux, Federico Corradi
Evolved neuromorphic radar-based altitude controller for an autonomous open-source blimp. CoRR abs/2110.00646 (2021) - [i8]M. Lakshmi Varshika, Adarsha Balaji, Federico Corradi
Design of Many-Core Big Little μBrain for Energy-Efficient Embedded Neuromorphic Computing. CoRR abs/2111.11838 (2021) - [i7]Bojian Yin
Accurate online training of dynamical spiking neural networks through Forward Propagation Through Time. CoRR abs/2112.11231 (2021) - [i6]Bojian Yin, Federico Corradi, Sander M. Bohté:
Effective and Efficient Spiking Recurrent Neural Networks. ERCIM News 2021(125) (2021) - 2020
- [j6]Hélène De Cannière
Wearable Monitoring and Interpretable Machine Learning Can Objectively Track Progression in Patients during Cardiac Rehabilitation. Sensors 20(12): 3601 (2020) - [c16]Mahmoud Hussein
Key Enabling Technologies for Drones. DSD 2020: 489-496 - [c15]Bojian Yin
Effective and Efficient Computation with Multiple-timescale Spiking Recurrent Neural Networks. ICONS 2020: 1:1-1:8 - [i5]Bojian Yin, Federico Corradi, Sander M. Bohté:
Effective and Efficient Computation with Multiple-timescale Spiking Recurrent Neural Networks. CoRR abs/2005.11633 (2020)
2010 – 2019
- 2019
- [j5]Alessandro Aimar
NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps. IEEE Trans. Neural Networks Learn. Syst. 30(3): 644-656 (2019) - [c14]Federico Corradi
Real Time Electrocardiogram Annotation with a Long Short Term Memory Neural Network. BioCAS 2019: 1-4 - [c13]Enrico Calabrese, Gemma Taverni, Christopher Awai Easthope
DHP19: Dynamic Vision Sensor 3D Human Pose Dataset. CVPR Workshops 2019: 1695-1704 - [c12]Federico Corradi
ECG-based Heartbeat Classification in Neuromorphic Hardware. IJCNN 2019: 1-8 - [c11]Chenghan Li, Luca Longinotti, Federico Corradi
A 132 by 104 10μm-Pixel 250μW 1kefps Dynamic Vision Sensor with Pixel-Parallel Noise and Spatial Redundancy Suppression. VLSI Circuits 2019: 216- - 2018
- [j4]Adarsha Balaji, Federico Corradi
Power-Accuracy Trade-Offs for Heartbeat Classification on Neural Networks Hardware. J. Low Power Electron. 14(4): 508-519 (2018) - [j3]Diederik Paul Moeys
A Sensitive Dynamic and Active Pixel Vision Sensor for Color or Neural Imaging Applications. IEEE Trans. Biomed. Circuits Syst. 12(1): 123-136 (2018) - [i4]Diederik Paul Moeys, Daniel Neil, Federico Corradi
PRED18: Dataset and Further Experiments with DAVIS Event Camera in Predator-Prey Robot Chasing. CoRR abs/1807.03128 (2018) - 2017
- [c10]Iulia-Alexandra Lungu, Federico Corradi
Live demonstration: Convolutional neural network driven by dynamic vision sensor playing RoShamBo. ISCAS 2017: 1 - [i3]Alessandro Aimar, Hesham Mostafa, Enrico Calabrese, Antonio Rios-Navarro, Ricardo Tapiador-Morales, Iulia-Alexandra Lungu, Moritz B. Milde, Federico Corradi, Alejandro Linares-Barranco, Shih-Chii Liu, Tobi Delbrück:
NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps. CoRR abs/1706.01406 (2017) - 2016
- [c9]Diederik Paul Moeys, Federico Corradi
Steering a predator robot using a mixed frame/event-driven convolutional neural network. EBCCSP 2016: 1-8 - [i2]Diederik Paul Moeys, Federico Corradi, Emmett Kerr, Philip J. Vance, Gautham P. Das, Daniel Neil, Dermot Kerr, Tobi Delbrück:
Steering a Predator Robot using a Mixed Frame/Event-Driven Convolutional Neural Network. CoRR abs/1606.09433 (2016) - 2015
- [j2]Federico Corradi
A Neuromorphic Event-Based Neural Recording System for Smart Brain-Machine-Interfaces. IEEE Trans. Biomed. Circuits Syst. 9(5): 699-709 (2015) - [c8]Federico Corradi
Decision making and perceptual bistability in spike-based neuromorphic VLSI systems. ISCAS 2015: 2708-2711 - [i1]Massimiliano Giulioni, Federico Corradi, Vittorio Dante, Paolo Del Giudice:
Real time unsupervised learning of visual stimuli in neuromorphic VLSI systems. CoRR abs/1506.05427 (2015) - 2014
- [j1]Federico Corradi
Towards a Neuromorphic Vestibular System. IEEE Trans. Biomed. Circuits Syst. 8(5): 669-680 (2014) - [c7]Elisa Donati
A spiking implementation of the lamprey's Central Pattern Generator in neuromorphic VLSI. BioCAS 2014: 512-515 - [c6]Federico Corradi
Toward neuromorphic intelligent brain-machine interfaces: An event-based neural recording and processing system. BioCAS 2014: 584-587 - [c5]Federico Corradi
Mapping arbitrary mathematical functions and dynamical systems to neuromorphic VLSI circuits for spike-based neural computation. ISCAS 2014: 269-272 - [c4]Hesham Mostafa, Federico Corradi
A hybrid analog/digital Spike-Timing Dependent Plasticity learning circuit for neuromorphic VLSI multi-neuron architectures. ISCAS 2014: 854-857 - 2013
- [c3]Giovanni Passetti
Implementation of a neuromorphic vestibular sensor with analog VLSI neurons. BioCAS 2013: 174-177 - [c2]Hesham Mostafa, Federico Corradi
Automated synthesis of asynchronous event-based interfaces for neuromorphic systems. ECCTD 2013: 1-4 - 2012
- [c1]Federico Corradi
Learning to recognize visual stimuli in neuromorphic VLSI. BioCAS 2012: 90
Coauthor Index
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last updated on 2024-12-11 20:41 CET by the dblp team
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