default search action
Federico Corradi
Person information
- affiliation: Eindhoven University of Technology, The Netherlands
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Journal Articles
- 2023
- [j11]Bojian Yin, Federico Corradi, Sander M. Bohté:
Accurate online training of dynamical spiking neural networks through Forward Propagation Through Time. Nat. Mac. Intell. 5(5): 518-527 (2023) - [j10]Ali Safa, Federico Corradi, Lars Keuninckx, Ilja Ocket, André Bourdoux, Francky Catthoor, Georges G. E. Gielen:
Improving the Accuracy of Spiking Neural Networks for Radar Gesture Recognition Through Preprocessing. IEEE Trans. Neural Networks Learn. Syst. 34(6): 2869-2881 (2023) - 2022
- [j9]Yuming He, Federico Corradi, Chengyao Shi, Stan van der Ven, Martijn Timmermans, Jan Stuijt, Paul Detterer, Pieter Harpe, Lucas Lindeboom, Evelien Hermeling, Geert Langereis, Elisabetta Chicca, Yao-Hong Liu:
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) - 2021
- [j8]Mahmoud Hussein, Réda Nouacer, Federico Corradi, Yassine Ouhammou, Eugenio Villar, Carlo Tieri, Rodrigo Castiñeira:
Key technologies for safe and autonomous drones. Microprocess. Microsystems 87: 104348 (2021) - [j7]Bojian Yin, Federico Corradi, Sander M. Bohté:
Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks. Nat. Mach. Intell. 3(10): 905-913 (2021) - 2020
- [j6]Hélène De Cannière, Federico Corradi, Christophe Smeets, Melanie Schoutteten, Carolina Varon, Chris Van Hoof, Sabine Van Huffel, Willemijn Groenendaal, Pieter M. Vandervoort:
Wearable Monitoring and Interpretable Machine Learning Can Objectively Track Progression in Patients during Cardiac Rehabilitation. Sensors 20(12): 3601 (2020) - 2019
- [j5]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. IEEE Trans. Neural Networks Learn. Syst. 30(3): 644-656 (2019) - 2018
- [j4]Adarsha Balaji, Federico Corradi, Anup Das, Sandeep Pande, Siebren Schaafsma, Francky Catthoor:
Power-Accuracy Trade-Offs for Heartbeat Classification on Neural Networks Hardware. J. Low Power Electron. 14(4): 508-519 (2018) - [j3]Diederik Paul Moeys, Federico Corradi, Cheng-Han Li, Simeon A. Bamford, Luca Longinotti, Fabian F. Voigt, Stewart Berry, Gemma Taverni, Fritjof Helmchen, Tobi Delbrück:
A Sensitive Dynamic and Active Pixel Vision Sensor for Color or Neural Imaging Applications. IEEE Trans. Biomed. Circuits Syst. 12(1): 123-136 (2018) - 2015
- [j2]Federico Corradi, Giacomo Indiveri:
A Neuromorphic Event-Based Neural Recording System for Smart Brain-Machine-Interfaces. IEEE Trans. Biomed. Circuits Syst. 9(5): 699-709 (2015) - 2014
- [j1]Federico Corradi, Davide Zambrano, Marco Raglianti, Giovanni Passetti, Cecilia Laschi, Giacomo Indiveri:
Towards a Neuromorphic Vestibular System. IEEE Trans. Biomed. Circuits Syst. 8(5): 669-680 (2014)
Conference and Workshop Papers
- 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, Hanqing Zhao, Nikolaos Alachiotis:
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 - 2023
- [c28]Manil Dev Gomony, Floran de Putter, Anteneh Gebregiorgis, Gianna Paulin, Linyan Mei, Vikram Jain, Said Hamdioui, Victor Sanchez, Tobias Grosser, Marc Geilen, Marian Verhelst, Friedemann Zenke, Frank K. Gürkaynak, Barry de Bruin, Sander Stuijk, Simon Davidson, Sayandip De, Mounir Ghogho, Alexandra Jimborean, Sherif Eissa, Luca Benini, Dimitrios Soudris, Rajendra Bishnoi, Sam Ainsworth, Federico Corradi, Ouassim Karrakchou, Tim Güneysu, Henk Corporaal:
PetaOps/W edge-AI $\mu$ Processors: Myth or reality? DATE 2023: 1-6 - [c27]Sherif Eissa, Federico Corradi, Floran de Putter, Sander Stuijk, Henk Corporaal:
QMTS: Fixed-point Quantization for Multiple-timescale Spiking Neural Networks. ICANN (1) 2023: 407-419 - [c26]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. ISCAS 2023: 1-5 - [c25]Edgar Luhulima, Madeleine Abernot, Federico Corradi, Aida Todri-Sanial:
Digital Implementation of On-Chip Hebbian Learning for Oscillatory Neural Network. ISLPED 2023: 1-6 - 2022
- [c24]Amirreza Yousefzadeh, Gert-Jan van Schaik, Mohammad Tahghighi, Paul Detterer, Stefano Traferro, Martijn Hijdra, Jan Stuijt, Federico Corradi, Manolis Sifalakis, Mario Konijnenburg:
SENeCA: Scalable Energy-efficient Neuromorphic Computer Architecture. AICAS 2022: 371-374 - [c23]M. Lakshmi Varshika, Adarsha Balaji, Federico Corradi, Anup Das, Jan Stuijt, Francky Catthoor:
Design of Many-Core Big Little µBrains for Energy-Efficient Embedded Neuromorphic Computing. DATE 2022: 1011-1016 - [c22]Federico Corradi, Francesco Fioranelli:
Radar Perception for Autonomous Unmanned Aerial Vehicles: a Survey. DroneSE/RAPIDO@HiPEAC 2022: 14-20 - [c21]Bojian Yin, Qinghai Guo, Federico Corradi, Sander M. Bohté:
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, Federico Corradi, Guido C. H. E. de Croon:
Evolved neuromorphic radar-based altitude controller for an autonomous open-source blimp. ICRA 2022: 85-90 - 2021
- [c18]Yuming He, Federico Corradi, Chengyao Shi, Ming Ding, Martijn Timmermans, Jan Stuijt, Pieter Harpe, Ilja Ocket, Yao-Hong Liu:
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, Guido Adriaans, Sander Stuijk:
Gyro: A Digital Spiking Neural Network Architecture for Multi-Sensory Data Analytics. DroneSE/RAPIDO@HiPEAC 2021: 9-15 - 2020
- [c16]Mahmoud Hussein, Réda Nouacer, Yassine Ouhammou, Eugenio Villar, Federico Corradi, Carlo Tieri, Rodrigo Castiñeira:
Key Enabling Technologies for Drones. DSD 2020: 489-496 - [c15]Bojian Yin, Federico Corradi, Sander M. Bohté:
Effective and Efficient Computation with Multiple-timescale Spiking Recurrent Neural Networks. ICONS 2020: 1:1-1:8 - 2019
- [c14]Federico Corradi, Jeroen Buil, Hélène De Cannière, Willemijn Groenendaal, Pieter M. Vandervoort:
Real Time Electrocardiogram Annotation with a Long Short Term Memory Neural Network. BioCAS 2019: 1-4 - [c13]Enrico Calabrese, Gemma Taverni, Christopher Awai Easthope, Sophie Skriabine, Federico Corradi, Luca Longinotti, Kynan Eng, Tobi Delbrück:
DHP19: Dynamic Vision Sensor 3D Human Pose Dataset. CVPR Workshops 2019: 1695-1704 - [c12]Federico Corradi, Sandeep Pande, Jan Stuijt, Ning Qiao, Siebren Schaafsma, Giacomo Indiveri, Francky Catthoor:
ECG-based Heartbeat Classification in Neuromorphic Hardware. IJCNN 2019: 1-8 - [c11]Chenghan Li, Luca Longinotti, Federico Corradi, Tobi Delbrück:
A 132 by 104 10μm-Pixel 250μW 1kefps Dynamic Vision Sensor with Pixel-Parallel Noise and Spatial Redundancy Suppression. VLSI Circuits 2019: 216- - 2017
- [c10]Iulia-Alexandra Lungu, Federico Corradi, Tobi Delbrück:
Live demonstration: Convolutional neural network driven by dynamic vision sensor playing RoShamBo. ISCAS 2017: 1 - 2016
- [c9]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. EBCCSP 2016: 1-8 - 2015
- [c8]Federico Corradi, Hongzhi You, Massimiliano Giulioni, Giacomo Indiveri:
Decision making and perceptual bistability in spike-based neuromorphic VLSI systems. ISCAS 2015: 2708-2711 - 2014
- [c7]Elisa Donati, Federico Corradi, Cesare Stefanini, Giacomo Indiveri:
A spiking implementation of the lamprey's Central Pattern Generator in neuromorphic VLSI. BioCAS 2014: 512-515 - [c6]Federico Corradi, David Bontrager, Giacomo Indiveri:
Toward neuromorphic intelligent brain-machine interfaces: An event-based neural recording and processing system. BioCAS 2014: 584-587 - [c5]Federico Corradi, Chris Eliasmith, Giacomo Indiveri:
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, Fabio Stefanini, Giacomo Indiveri:
A hybrid analog/digital Spike-Timing Dependent Plasticity learning circuit for neuromorphic VLSI multi-neuron architectures. ISCAS 2014: 854-857 - 2013
- [c3]Giovanni Passetti, Federico Corradi, Marco Raglianti, Davide Zambrano, Cecilia Laschi, Giacomo Indiveri:
Implementation of a neuromorphic vestibular sensor with analog VLSI neurons. BioCAS 2013: 174-177 - [c2]Hesham Mostafa, Federico Corradi, Marc Osswald, Giacomo Indiveri:
Automated synthesis of asynchronous event-based interfaces for neuromorphic systems. ECCTD 2013: 1-4 - 2012
- [c1]Federico Corradi, Massimiliano Giulioni:
Learning to recognize visual stimuli in neuromorphic VLSI. BioCAS 2012: 90
Informal and Other Publications
- 2024
- [i16]Alberto Patiño-Saucedo, Roy Meijer, Amirreza Yousefzadeh, Manil Dev Gomony, Federico Corradi, Paul Detterer, Laura Garrido-Regife, Bernabé Linares-Barranco, Manolis Sifalakis:
Hardware-aware training of models with synaptic delays for digital event-driven neuromorphic processors. CoRR abs/2404.10597 (2024) - [i15]Lorenzo Pes, Rick Luiken, Federico Corradi, Charlotte Frenkel:
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
- [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, Federico Corradi, Guido de Croon, Andreea Danielescu, Anurag Reddy Daram, Mike Davies, Yigit Demirag, Jason Eshraghian, Jeremy Forest, Steve B. Furber, Michael Furlong, Aditya Gilra, Giacomo Indiveri, Siddharth Joshi, Vedant Karia, Lyes Khacef, James C. Knight, Laura Kriener, Rajkumar Kubendran, Dhireesha Kudithipudi, Gregor Lenz, Rajit Manohar, Christian Mayr, Konstantinos P. Michmizos, Dylan R. Muir, Emre Neftci, Thomas Nowotny, Fabrizio Ottati, Ayça Özcelikkale, Noah Pacik-Nelson, Priyadarshini Panda, Pao-Sheng Sun, Melika Payvand, Christian Pehle, Mihai A. Petrovici, Christoph Posch, Alpha Renner, Yulia Sandamirskaya, Clemens JS Schaefer, André van Schaik, Johannes Schemmel, Catherine D. Schuman, Jae-sun Seo, Sumit Bam Shrestha, Manolis Sifalakis, Amos Sironi, Kenneth Michael Stewart, Terrence C. Stewart, Philipp Stratmann, Guangzhi Tang, Jonathan Timcheck, Marian Verhelst, Craig M. Vineyard, Bernhard Vogginger, Amirreza Yousefzadeh, Biyan Zhou, Fatima Tuz Zohora, Charlotte Frenkel, Vijay Janapa Reddi:
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
- [i11]Manil Dev Gomony, Floran de Putter, Anteneh Gebregiorgis, Gianna Paulin, Linyan Mei, Vikram Jain, Said Hamdioui, Victor Sanchez, Tobias Grosser, Marc Geilen, Marian Verhelst, Frank K. Zenke, Frank K. Gürkaynak, Barry de Bruin, Sander Stuijk, Simon Davidson, Sayandip De, Mounir Ghogho, Alexandra Jimborean, Sherif Eissa, Luca Benini, Dimitrios Soudris, Rajendra Bishnoi, S. Ainsworth, Federico Corradi, Ouassim Karrakchou, Tim Güneysu, Henk Corporaal:
CONVOLVE: Smart and seamless design of smart edge processors. CoRR abs/2212.00873 (2022) - 2021
- [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, Guido de Croon:
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, Anup Das, Jan Stuijt, Francky Catthoor:
Design of Many-Core Big Little μBrain for Energy-Efficient Embedded Neuromorphic Computing. CoRR abs/2111.11838 (2021) - [i7]Bojian Yin, Federico Corradi, Sander M. Bohté:
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
- [i5]Bojian Yin, Federico Corradi, Sander M. Bohté:
Effective and Efficient Computation with Multiple-timescale Spiking Recurrent Neural Networks. CoRR abs/2005.11633 (2020) - 2018
- [i4]Diederik Paul Moeys, Daniel Neil, Federico Corradi, Emmett Kerr, Philip J. Vance, Gautham P. Das, Sonya A. Coleman, Thomas Martin McGinnity, Dermot Kerr, Tobi Delbrück:
PRED18: Dataset and Further Experiments with DAVIS Event Camera in Predator-Prey Robot Chasing. CoRR abs/1807.03128 (2018) - 2017
- [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
- [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
- [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)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-11 20:41 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint