Charlotte Frenkel

58 papers B 1C 9Journal 34Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Accelerated Predictive Coding Networks via Direct Kolen-Pollack Feedback Alignment.
CoRR
Davide Casnici, Martin Lefebvre, Justin Dauwels, Charlotte Frenkel
2025 C conf
An Event-Based Digital Compute-In-Memory Accelerator with Flexible Operand Resolution and Layer-Wise Weight/Output Stationarity.
ISCAS
Nicolas Chauvaux, Adrian Kneip, Christoph Posch, Kofi A. A. Makinwa, Charlotte Frenkel
2025 J jnl
Bio-Inspired Artificial Neural Networks based on Predictive Coding.
CoRR
Davide Casnici, Charlotte Frenkel, Justin Dauwels
2025 J jnl
Chameleon: A MatMul-Free Temporal Convolutional Network Accelerator for End-to-End Few-Shot and Continual Learning from Sequential Data.
CoRR
Douwe den Blanken, Charlotte Frenkel
2025 J jnl
EvGNN: An Event-Driven Graph Neural Network Accelerator for Edge Vision.
IEEE Trans. Circuits Syst. Artif. Intell.
Yufeng Yang, Adrian Kneip, Charlotte Frenkel
2025 J jnl
FREYA: A 0.023-mm²/Channel, 20.8- μW/Channel, Event-Driven 8-Channel SoC for Spiking End-to-End Sensing of Time-Sparse Biosignals.
IEEE Trans. Circuits Syst. I Regul. Pap.
Jonah Van Assche, Charlotte Frenkel, Ali Safa, Georges G. E. Gielen
2025 J jnl
MesaNet: Sequence Modeling by Locally Optimal Test-Time Training.
CoRR
Johannes von Oswald, Nino Scherrer, Seijin Kobayashi, Luca Versari, Songlin Yang, Maximilian Schlegel, Kaitlin Maile, Yanick Schimpf, Oliver Sieberling, Alexander Meulemans, Rif A. Saurous, Guillaume Lajoie, Charlotte Frenkel, Razvan Pascanu, Blaise Agüera y Arcas, João Sacramento
2025 B conf
TESS: A Scalable Temporally and Spatially Local Learning Rule for Spiking Neural Networks.
IJCNN
Marco Paul E. Apolinario, Kaushik Roy, Charlotte Frenkel
2025 J jnl
TESS: A Scalable Temporally and Spatially Local Learning Rule for Spiking Neural Networks.
CoRR
Marco Paul E. Apolinario, Kaushik Roy, Charlotte Frenkel
2024 — conf
Active Dendrites Enable Efficient Continual Learning in Time-To-First-Spike Neural Networks.
AICAS
Lorenzo Pes, Rick Luiken, Federico Corradi, Charlotte Frenkel
2024 J jnl
Active Dendrites Enable Efficient Continual Learning in Time-To-First-Spike Neural Networks.
CoRR
Lorenzo Pes, Rick Luiken, Federico Corradi, Charlotte Frenkel
2024 J jnl
Adaptive Robotic Arm Control with a Spiking Recurrent Neural Network on a Digital Accelerator.
CoRR
Alejandro Linares-Barranco, Luciano Prono, Robert Legenstein, Giacomo Indiveri, Charlotte Frenkel
2024 J jnl
An Event-Based Digital Compute-In-Memory Accelerator with Flexible Operand Resolution and Layer-Wise Weight/Output Stationarity.
CoRR
Nicolas Chauvaux, Adrian Kneip, Christoph Posch, Kofi A. A. Makinwa, Charlotte Frenkel
2024 J jnl
EvGNN: An Event-driven Graph Neural Network Accelerator for Edge Vision.
CoRR
Yufeng Yang, Adrian Kneip, Charlotte Frenkel
2024 — conf
Grand Challenge on Neural Decoding for Motor Control of non-Human Primates.
BioCAS
Biyan Zhou, Pao-Sheng Vincent Sun, Jason Yik, Charlotte Frenkel, Vijay Janapa Reddi, Arindam Basu
2024 J jnl
Introduction to the Special Issue on tinyML.
ACM Trans. Embed. Comput. Syst.
Theocharis Theocharides, Charlotte Frenkel, Lukas Cavigelli
2023 J jnl
Bottom-Up and Top-Down Approaches for the Design of Neuromorphic Processing Systems: Tradeoffs and Synergies Between Natural and Artificial Intelligence.
Proc. IEEE
Charlotte Frenkel, David Bol, Giacomo Indiveri
2023 J jnl
Editorial: Focus issue on energy-efficient neuromorphic devices, systems and algorithms.
Neuromorph. Comput. Eng.
Adnan Mehonic, Charlotte Frenkel, Eleni Vasilaki
2023 C conf
Event-based Classification with Recurrent Spiking Neural Networks on Low-end Micro-Controller Units.
ISCAS
Chiara Boretti, Luciano Prono, Charlotte Frenkel, Giacomo Indiveri, Fabio Pareschi, Mauro Mangia, Riccardo Rovatti, Gianluca Setti
2023 — conf
Exploring Information-Theoretic Criteria to Accelerate the Tuning of Neuromorphic Level-Crossing ADCs.
NICE
Ali Safa, Jonah Van Assche, Charlotte Frenkel, André Bourdoux, Francky Catthoor, Georges G. E. Gielen
2023 — ed.
Neuro-Inspired Computational Elements Conference, NICE2023, San Antonio, TX, USA, April 11-14, 2023.
NICE
Dhireesha Kudithipudi, Charlotte Frenkel, Suma Cardwell, James B. Aimone
2023 J jnl
NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking.
CoRR
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, P. 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
2023 — conf
Online Spatio-Temporal Learning with Target Projection.
AICAS
Thomas Ortner, Lorenzo Pes, Joris Gentinetta, Charlotte Frenkel, Angeliki Pantazi
2023 J jnl
Online Spatio-Temporal Learning with Target Projection.
CoRR
Thomas Ortner, Lorenzo Pes, Joris Gentinetta, Charlotte Frenkel, Angeliki Pantazi
2023 — conf
SPAIC: A sub-μW/Channel, 16-Channel General-Purpose Event-Based Analog Front-End with Dual-Mode Encoders.
BioCAS
Shyam Narayanan, Matteo Cartiglia, Arianna Rubino, Charles Lego, Charlotte Frenkel, Giacomo Indiveri
2023 J jnl
SPAIC: A sub-μW/Channel, 16-Channel General-Purpose Event-Based Analog Front-End with Dual-Mode Encoders.
CoRR
Shyam Narayanan, Matteo Cartiglia, Arianna Rubino, Charles Lego, Charlotte Frenkel, Giacomo Indiveri
2022 C conf
A 120dB Programmable-Range On-Chip Pulse Generator for Characterizing Ferroelectric Devices.
ISCAS
Shyam Narayanan, Erika Covi, Viktor Havel, Charlotte Frenkel, Suzanne Lancaster, Quang T. Duong, Stefan Slesazeck, Thomas Mikolajick, Melika Payvand, Giacomo Indiveri
2022 J jnl
A 120dB Programmable-Range On-Chip Pulse Generator for Characterizing Ferroelectric Devices.
CoRR
Shyam Narayanan, Erika Covi, Viktor Havel, Charlotte Frenkel, Suzanne Lancaster, Quang T. Duong, Stefan Slesazeck, Thomas Mikolajick, Melika Payvand, Giacomo Indiveri
2022 — conf
Biologically-inspired training of spiking recurrent neural networks with neuromorphic hardware.
AICAS
Thomas Bohnstingl, Anja Surina, Maxime Fabre, Yigit Demirag, Charlotte Frenkel, Melika Payvand, Giacomo Indiveri, Angeliki Pantazi
2022 — conf
ReckOn: A 28nm Sub-mm2 Task-Agnostic Spiking Recurrent Neural Network Processor Enabling On-Chip Learning over Second-Long Timescales.
ISSCC
Charlotte Frenkel, Giacomo Indiveri
2022 J jnl
ReckOn: A 28nm Sub-mm2 Task-Agnostic Spiking Recurrent Neural Network Processor Enabling On-Chip Learning over Second-Long Timescales.
CoRR
Charlotte Frenkel, Giacomo Indiveri
2022 — conf
Spiking Neural Network Integrated Circuits: A Review of Trends and Future Directions.
CICC
Arindam Basu, Lei Deng, Charlotte Frenkel, Xueyong Zhang
2022 J jnl
Spiking Neural Network Integrated Circuits: A Review of Trends and Future Directions.
CoRR
Arindam Basu, Charlotte Frenkel, Lei Deng, Xueyong Zhang
2022 C conf
Stochastic dendrites enable online learning in mixed-signal neuromorphic processing systems.
ISCAS
Matteo Cartiglia, Arianna Rubino, Shyam Narayanan, Charlotte Frenkel, Germain Haessig, Giacomo Indiveri, Melika Payvand
2022 J jnl
Stochastic dendrites enable online learning in mixed-signal neuromorphic processing systems.
CoRR
Matteo Cartiglia, Arianna Rubino, Shyam Narayanan, Charlotte Frenkel, Germain Haessig, Giacomo Indiveri, Melika Payvand
2022 J jnl
THOR - A Neuromorphic Processor with 7.29G TSOP$^2$/mm$^2$Js Energy-Throughput Efficiency.
CoRR
Mayank Senapati, Manil Dev Gomony, Sherif Eissa, Charlotte Frenkel, Henk Corporaal
2021 J jnl
Bottom-Up and Top-Down Neural Processing Systems Design: Neuromorphic Intelligence as the Convergence of Natural and Artificial Intelligence.
CoRR
Charlotte Frenkel, David Bol, Giacomo Indiveri
2021 J jnl
Online Training of Spiking Recurrent Neural Networks with Phase-Change Memory Synapses.
CoRR
Yigit Demirag, Charlotte Frenkel, Melika Payvand, Giacomo Indiveri
2021 C conf
PCM-Trace: Scalable Synaptic Eligibility Traces with Resistivity Drift of Phase-Change Materials.
ISCAS
Yigit Demirag, Filippo Moro, Thomas Dalgaty, Gabriele Navarro, Charlotte Frenkel, Giacomo Indiveri, Elisa Vianello, Melika Payvand
2021 J jnl
PCM-trace: Scalable Synaptic Eligibility Traces with Resistivity Drift of Phase-Change Materials.
CoRR
Yigit Demirag, Filippo Moro, Thomas Dalgaty, Gabriele Navarro, Charlotte Frenkel, Giacomo Indiveri, Elisa Vianello, Melika Payvand
2021 J jnl
SleepRunner: A 28-nm FDSOI ULP Cortex-M0 MCU With ULL SRAM and UFBR PVT Compensation for 2.6-3.6-μW/DMIPS 40-80-MHz Active Mode and 131-nW/kB Fully Retentive Deep-Sleep Mode.
IEEE J. Solid State Circuits
David Bol, Maxime Schramme, Ludovic Moreau, Pengcheng Xu, Rémi Dekimpe, Roghayeh Saeidi, Thomas Haine, Charlotte Frenkel, Denis Flandre
2021 J jnl
Sparsity provides a competitive advantage.
Nat. Mach. Intell.
Charlotte Frenkel
2020 C conf
A 28-nm Convolutional Neuromorphic Processor Enabling Online Learning with Spike-Based Retinas.
ISCAS
Charlotte Frenkel, Jean-Didier Legat, David Bol
2020 J jnl
A 28-nm Convolutional Neuromorphic Processor Enabling Online Learning with Spike-Based Retinas.
CoRR
Charlotte Frenkel, Jean-Didier Legat, David Bol
2020 — —
Bottom-up and top-down neuromorphic processor design: Unveiling roads to embedded cognition.
Charlotte Frenkel
2019 J jnl
A 0.086-mm
IEEE Trans. Biomed. Circuits Syst.
Charlotte Frenkel, Martin Lefebvre, Jean-Didier Legat, David Bol
2019 — conf
A 40-to-80MHz Sub-4μW/MHz ULV Cortex-M0 MCU SoC in 28nm FDSOI With Dual-Loop Adaptive Back-Bias Generator for 20μs Wake-Up From Deep Fully Retentive Sleep Mode.
ISSCC
David Bol, Maxime Schramme, Ludovic Moreau, Thomas Haine, Pengcheng Xu, Charlotte Frenkel, Remi Dekimpe, François Stas, Denis Flandre
2019 C conf
A 65-nm 738k-Synapse/mm
ISCAS
Charlotte Frenkel, Jean-Didier Legat, David Bol
2019 J jnl
Learning without feedback: Direct random target projection as a feedback-alignment algorithm with layerwise feedforward training.
CoRR
Charlotte Frenkel, Martin Lefebvre, David Bol
2019 J jnl
MorphIC: A 65-nm 738k-Synapse/mm
CoRR
Charlotte Frenkel, Jean-Didier Legat, David Bol
2019 J jnl
MorphIC: A 65-nm 738k-Synapse/mm
IEEE Trans. Biomed. Circuits Syst.
Charlotte Frenkel, Jean-Didier Legat, David Bol
2018 J jnl
A 0.086-mm
CoRR
Charlotte Frenkel, Jean-Didier Legat, David Bol
2017 — conf
A compact phenomenological digital neuron implementing the 20 Izhikevich behaviors.
BioCAS
Charlotte Frenkel, Jean-Didier Legat, David Bol
2017 C conf
A fully-synthesized 20-gate digital spike-based synapse with embedded online learning.
ISCAS
Charlotte Frenkel, Giacomo Indiveri, Jean-Didier Legat, David Bol
2017 J jnl
SleepTalker: A ULV 802.15.4a IR-UWB Transmitter SoC in 28-nm FDSOI Achieving 14 pJ/b at 27 Mb/s With Channel Selection Based on Adaptive FBB and Digitally Programmable Pulse Shaping.
IEEE J. Solid State Circuits
Guerric de Streel, François Stas, Thibaut Gurne, François Durant, Charlotte Frenkel, Andreia Cathelin, David Bol
2016 C conf
Comparative analysis of redundancy schemes for soft-error detection in low-cost space applications.
VLSI-SoC
Charlotte Frenkel, Jean-Didier Legat, David Bol
2016 — conf
SleepTalker: A 28nm FDSOI ULV 802.15.4a IR-UWB transmitter SoC achieving 14pJ/bit at 27Mb/s with adaptive-FBB-based channel selection and programmable pulse shape.
VLSI Circuits
Guerric de Streel, François Stas, Thibaut Gurne, François Durant, Charlotte Frenkel, David Bol
2015 — conf
A Partial Reconfiguration-based scheme to mitigate Multiple-Bit Upsets for FPGAs in low-cost space applications.
ReCoSoC
Charlotte Frenkel, Jean-Didier Legat, David Bol