Learning to recognize visual stimuli in neuromorphic VLSI. - Federico Corradi; Massimiliano Giulioni (BioCAS, 2012)

Implementation of a neuromorphic vestibular sensor with analog VLSI neurons. - Giovanni Passetti; Federico Corradi; Marco Raglianti; Davide Zambrano; Cecilia Laschi; Giacomo Indiveri (BioCAS, 2013)

Automated synthesis of asynchronous event-based interfaces for neuromorphic systems. - Hesham Mostafa; Federico Corradi; Marc Osswald; Giacomo Indiveri (ECCTD, 2013)

Toward neuromorphic intelligent brain-machine interfaces: An event-based neural recording and processing system. - Federico Corradi; David Bontrager; Giacomo Indiveri (BioCAS, 2014)

A spiking implementation of the lamprey's Central Pattern Generator in neuromorphic VLSI. - Elisa Donati; Federico Corradi; Cesare Stefanini; Giacomo Indiveri (BioCAS, 2014)

Mapping arbitrary mathematical functions and dynamical systems to neuromorphic VLSI circuits for spike-based neural computation. - Federico Corradi; Chris Eliasmith; Giacomo Indiveri (ISCAS, 2014)

A hybrid analog/digital Spike-Timing Dependent Plasticity learning circuit for neuromorphic VLSI multi-neuron architectures. - Hesham Mostafa; Federico Corradi; Fabio Stefanini; Giacomo Indiveri (ISCAS, 2014)

Towards a Neuromorphic Vestibular System. - Federico Corradi; Davide Zambrano; Marco Raglianti; Giovanni Passetti; Cecilia Laschi; Giacomo Indiveri (IEEE Trans. Biomed. Circuits Syst., 2014)

Decision making and perceptual bistability in spike-based neuromorphic VLSI systems. - Federico Corradi; Hongzhi You; Massimiliano Giulioni; Giacomo Indiveri (ISCAS, 2015)

Real time unsupervised learning of visual stimuli in neuromorphic VLSI systems. - Massimiliano Giulioni; Federico Corradi; Vittorio Dante; Paolo Del Giudice (CoRR, 2015)

A Neuromorphic Event-Based Neural Recording System for Smart Brain-Machine-Interfaces. - Federico Corradi; Giacomo Indiveri (IEEE Trans. Biomed. Circuits Syst., 2015)

Steering a predator robot using a mixed frame/event-driven convolutional neural network. - Diederik Paul Moeys; Federico Corradi; Emmett Kerr; Philip J. Vance; Gautham P. Das; Daniel Neil; Dermot Kerr; Tobi Delbrück (EBCCSP, 2016)

Live demonstration: Convolutional neural network driven by dynamic vision sensor playing RoShamBo. - Iulia-Alexandra Lungu; Federico Corradi; Tobi Delbruck (ISCAS, 2017)

PRED18: Dataset and Further Experiments with DAVIS Event Camera in Predator-Prey Robot Chasing. - Diederik Paul Moeys; Daniel Neil; Federico Corradi; Emmett Kerr; Philip J. Vance; Gautham P. Das; Sonya A. Coleman; Thomas Martin McGinnity; Dermot Kerr; Tobi Delbruck (CoRR, 2018)

Power-Accuracy Trade-Offs for Heartbeat Classification on Neural Networks Hardware. - Adarsha Balaji; Federico Corradi; Anup Das 001; Sandeep Pande; Siebren Schaafsma; Francky Catthoor (J. Low Power Electron., 2018)

A Sensitive Dynamic and Active Pixel Vision Sensor for Color or Neural Imaging Applications. - Diederik Paul Moeys; Federico Corradi; Cheng-Han Li; Simeon A. Bamford; Luca Longinotti; Fabian F. Voigt; Stewart Berry; Gemma Taverni; Fritjof Helmchen; Tobi Delbruck (IEEE Trans. Biomed. Circuits Syst., 2018)

Real Time Electrocardiogram Annotation with a Long Short Term Memory Neural Network. - Federico Corradi; Jeroen Buil; Hélène De Cannière; Willemijn Groenendaal; Pieter M. Vandervoort (BioCAS, 2019)

DHP19: Dynamic Vision Sensor 3D Human Pose Dataset. - Enrico Calabrese; Gemma Taverni; Christopher Awai Easthope; Sophie Skriabine; Federico Corradi; Luca Longinotti; Kynan Eng; Tobi Delbruck (CVPR Workshops, 2019)

ECG-based Heartbeat Classification in Neuromorphic Hardware. - Federico Corradi; Sandeep Pande; Jan Stuijt; Ning Qiao; Siebren Schaafsma; Giacomo Indiveri; Francky Catthoor (IJCNN, 2019)

A 132 by 104 10μm-Pixel 250μW 1kefps Dynamic Vision Sensor with Pixel-Parallel Noise and Spatial Redundancy Suppression. - Chenghan Li; Luca Longinotti; Federico Corradi; Tobi Delbruck (VLSI Circuits, 2019)

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

Key Enabling Technologies for Drones. - Mahmoud Hussein; Réda Nouacer; Yassine Ouhammou; Eugenio Villar; Federico Corradi; Carlo Tieri; Rodrigo Castiñeira (DSD, 2020)

Effective and Efficient Computation with Multiple-timescale Spiking Recurrent Neural Networks. - Bojian Yin; Federico Corradi; Sander M. Bohté (ICONS, 2020)

Wearable Monitoring and Interpretable Machine Learning Can Objectively Track Progression in Patients during Cardiac Rehabilitation. - Hélène De Cannière; Federico Corradi; Christophe Smeets; Melanie Schoutteten; Carolina Varon; Chris Van Hoof; Sabine Van Huffel; Willemijn Groenendaal; Pieter M. Vandervoort (Sensors, 2020)

A 28.2 μC Neuromorphic Sensing System Featuring SNN-based Near-sensor Computation and Event-Driven Body-Channel Communication for Insertable Cardiac Monitoring. - Yuming He; Federico Corradi; Chengyao Shi; Ming Ding 003; Martijn Timmermans; Jan Stuijt; Pieter Harpe; Ilja Ocket; Yao-Hong Liu (A-SSCC, 2021)

Gyro: A Digital Spiking Neural Network Architecture for Multi-Sensory Data Analytics. - Federico Corradi; Guido Adriaans; Sander Stuijk (DroneSE/RAPIDO@HiPEAC, 2021)

Design of Many-Core Big Little μBrain for Energy-Efficient Embedded Neuromorphic Computing. - M. Lakshmi Varshika; Adarsha Balaji; Federico Corradi; Anup Das 001; Jan Stuijt; Francky Catthoor (CoRR, 2021)

Effective and Efficient Spiking Recurrent Neural Networks. - Bojian Yin; Federico Corradi; Sander M. Bohté (ERCIM News, 2021)

Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks. - Bojian Yin; Federico Corradi; Sander M. Bohté (Nat. Mach. Intell., 2021)

Key technologies for safe and autonomous drones. - Mahmoud Hussein; Réda Nouacer; Federico Corradi; Yassine Ouhammou; Eugenio Villar; Carlo Tieri; Rodrigo Castiñeira (Microprocess. Microsystems, 2021)

SENeCA: Scalable Energy-efficient Neuromorphic Computer Architecture. - Amirreza Yousefzadeh; Gert-Jan van Schaik; Mohammad Tahghighi; Paul Detterer; Stefano Traferro; Martijn Hijdra; Jan Stuijt; Federico Corradi; Manolis Sifalakis; Mario Konijnenburg (AICAS, 2022)

Design of Many-Core Big Little µBrains for Energy-Efficient Embedded Neuromorphic Computing. - M. Lakshmi Varshika; Adarsha Balaji; Federico Corradi; Anup Das 001; Jan Stuijt; Francky Catthoor (DATE, 2022)

Radar Perception for Autonomous Unmanned Aerial Vehicles: a Survey. - Federico Corradi; Francesco Fioranelli (DroneSE/RAPIDO@HiPEAC, 2022)

An Event-driven Recurrent Spiking Neural Network Architecture for Efficient Inference on FPGA. - Anand Sankaran; Paul Detterer; Kalpana Kannan; Nikolaos Alachiotis 001; Federico Corradi (ICONS, 2022)

Attentive Decision-making and Dynamic Resetting of Continual Running SRNNs for End-to-End Streaming Keyword Spotting. - Bojian Yin; Qinghai Guo; Federico Corradi; Sander M. Bohté (ICONS, 2022)

Evolved neuromorphic radar-based altitude controller for an autonomous open-source blimp. - Marina González-Álvarez; Julien Dupeyroux; Federico Corradi; Guido C. H. E. de Croon (ICRA, 2022)

CONVOLVE: Smart and seamless design of smart edge processors. - 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; et al. (CoRR, 2022)

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

PetaOps/W edge-AI $ mu$ Processors: Myth or reality? - 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; et al. (DATE, 2023)

QMTS: Fixed-point Quantization for Multiple-timescale Spiking Neural Networks. - Sherif Eissa; Federico Corradi; Floran de Putter; Sander Stuijk; Henk Corporaal (ICANN (1), 2023)

Empirical study on the efficiency of Spiking Neural Networks with axonal delays, and algorithm-hardware benchmarking. - Alberto Patiño-Saucedo; Amirreza Yousefzadeh; Guangzhi Tang; Federico Corradi; Bernabé Linares-Barranco; Manolis Sifalakis (ISCAS, 2023)

Digital Implementation of On-Chip Hebbian Learning for Oscillatory Neural Network. - Edgar Luhulima; Madeleine Abernot; Federico Corradi; Aida Todri-Sanial (ISLPED, 2023)

NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. - 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; et al. (CoRR, 2023)

Accurate online training of dynamical spiking neural networks through Forward Propagation Through Time. - Bojian Yin; Federico Corradi; Sander M. Bohté (Nat. Mac. Intell., 2023)

Improving the Accuracy of Spiking Neural Networks for Radar Gesture Recognition Through Preprocessing. - Ali Safa; Federico Corradi; Lars Keuninckx; Ilja Ocket; André Bourdoux; Francky Catthoor; Georges G. E. Gielen (IEEE Trans. Neural Networks Learn. Syst., 2023)

Spike Vision: A Fully Spiking Neural Network Transformer-Inspired Model for Dynamic Vision Sensors. - Zhanbo Shen; Federico Corradi (IEEECONF, 2024)

Active Dendrites Enable Efficient Continual Learning in Time-To-First-Spike Neural Networks. - Lorenzo Pes; Rick Luiken; Federico Corradi; Charlotte Frenkel (AICAS, 2024)

Accelerated Spiking Convolutional Neural Networks for Scalable Population Genomics. - Federico Corradi; Zhanbo Shen; Hanqing Zhao; Nikolaos Alachiotis 001 (HEART, 2024)

A Scalable Hardware Architecture for Efficient Learning of Recurrent Neural Networks at the Edge. - Yicheng Zhang; Manil Dev Gomony; Henk Corporaal; Federico Corradi (VLSI-SoC, 2024)

Hardware-aware training of models with synaptic delays for digital event-driven neuromorphic processors. - Alberto Patiño-Saucedo; Roy Meijer; Amirreza Yousefzadeh; Manil Dev Gomony; Federico Corradi; Paul Detterer; Laura Garrido-Regife; Bernabé Linares-Barranco; Manolis Sifalakis (CoRR, 2024)

On the Design and Performance of Machine Learning Based Error Correcting Decoders. - Yuncheng Yuan; Péter Scheepers; Lydia Tasiou; Yunus Can Gültekin; Federico Corradi; Alex Alvarado (CoRR, 2024)

SpiRec: Soft-Logic Architecture Exploration of Reconfigurable Systems for Spiking Neural Networks. - Xunqin Lai; Federico Corradi; Siva Satyendra Sahoo (ASAP, 2025)

Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks. - Bojian Yin; Federico Corradi (NICE, 2025)

Hardware-In-The-Loop Training of a 4f Optical Correlator with Logarithmic Complexity Reduction for CNNs. - Lorenzo Pes; Maryam Dehbashizadeh Chehreghan; Rick Luiken; Sander Stuijk; Ripalta Stabile; Federico Corradi (OFC, 2025)

Efficient Synaptic Delay Implementation in Digital Event-Driven AI Accelerators. - Roy Meijer; Paul Detterer; Amirreza Yousefzadeh; Alberto Patiño-Saucedo; Guanghzi Tang; Kanishkan Vadivel; Yinfu Xu; Manil Dev Gomony; Federico Corradi; Bernabé Linares-Barranco; Manolis Sifalakis (CoRR, 2025)

FPGA Innovation Research in the Netherlands: Present Landscape and Future Outlook. - Nikolaos Alachiotis 001; Sjoerd van den Belt; Steven van der Vlugt; Reinier van der Walle; Mohsen Safari; Bruno Endres Forlin; Tiziano De Matteis; Zaid Al-Ars; Roel Jordans; António J. Sousa de Almeida; Federico Corradi; Christiaan Baaij; et al. (CoRR, 2025)

STEMS: Spatial-Temporal Mapping Tool For Spiking Neural Networks. - Sherif Eissa; Sander Stuijk; Floran de Putter; Andrea Nardi-Dei; Federico Corradi; Henk Corporaal (CoRR, 2025)

On the Optimality of Single-label and Multi-label Neural Network Decoders. - Yunus Can Gültekin; Péter Scheepers; Yuncheng Yuan; Federico Corradi; Alex Alvarado (CoRR, 2025)

Synthetic Biology meets Neuromorphic Computing: Towards a bio-inspired Olfactory Perception System. - Kevin Max; Larissa Sames; Shimeng Ye; Jan Steinkühler; Federico Corradi (CoRR, 2025)

Stochastic Variational Propagation: Local, Scalable and Efficient Alternative to Backpropagation. - Bojian Yin; Federico Corradi (CoRR, 2025)

Sparse Convolutional Recurrent Learning for Efficient Event-based Neuromorphic Object Detection. - Shenqi Wang; Yingfu Xu; Amirreza Yousefzadeh; Sherif Eissa; Henk Corporaal; Federico Corradi; Guangzhi Tang (CoRR, 2025)

NEXUS: A 28nm 3.3pJ/SOP 16-Core Spiking Neural Network With a Diamond Topology for Real-Time Data Processing. - Maryam Sadeghi; Yasser Rezaeiyan; Darío Fernández Khatiboun; Sherif Eissa; Federico Corradi; Charles Augustine; Farshad Moradi (IEEE Trans. Biomed. Circuits Syst., 2025)

STEMS: Spatial-Temporal Mapping for Spiking Neural Networks. - Sherif Eissa; Sander Stuijk; Floran de Putter; Andrea Nardi-Dei; Federico Corradi; Henk Corporaal (IEEE Trans. Computers, 2025)