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Charlotte Frenkel
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A 0.086-mm 12.7-pJ/SOP 64k-Synapse 256-Neuron Online-Learning Digital Spiking Neuromorphic Processor in 28nm CMOS
C Frenkel, M Lefebvre, JD Legat, D Bol
IEEE Transactions on Biomedical Circuits and Systems 13 (1), 145-158, 2019
2342019
MorphIC: A 65-nm 738k-Synapse/mm Quad-Core Binary-Weight Digital Neuromorphic Processor with Stochastic Spike-Driven Online Learning
C Frenkel, JD Legat, D Bol
IEEE Transactions on Biomedical Circuits and Systems 13 (5), 999-1010, 2019
872019
Hand-gesture recognition based on EMG and event-based camera sensor fusion: A benchmark in neuromorphic computing
E Ceolini*, C Frenkel*, SB Shrestha*, G Taverni, L Khacef, M Payvand, ...
Frontiers in Neuroscience 14, 2020
682020
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 …
G de Streel, F Stas, T Gurne, F Durant, C Frenkel, A Cathelin, D Bol
IEEE Journal of Solid-State Circuits 52 (4), 1163-1177, 2017
622017
Learning without feedback: Fixed random learning signals allow for feedforward training of deep neural networks
C Frenkel*, M Lefebvre*, D Bol
Frontiers in neuroscience 15, 2021
48*2021
A 28-nm Convolutional Neuromorphic Processor Enabling Online Learning with Spike-Based Retinas
C Frenkel, JD Legat, D Bol
2020 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2020
322020
19.6 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
D Bol, M Schramme, L Moreau, T Haine, P Xu, C Frenkel, R Dekimpe, ...
2019 IEEE International Solid-State Circuits Conference-(ISSCC), 322-324, 2019
292019
Bottom-up and top-down neural processing systems design: Neuromorphic intelligence as the convergence of natural and artificial intelligence
C Frenkel, D Bol, G Indiveri
arXiv preprint arXiv:2106.01288, 2021
242021
A fully-synthesized 20-gate digital spike-based synapse with embedded online learning
C Frenkel, G Indiveri, JD Legat, D Bol
2017 IEEE international symposium on circuits and systems (ISCAS), 1-4, 2017
162017
PCM-trace: Scalable Synaptic Eligibility Traces with Resistivity Drift of Phase-Change Materials
Y Demirağ, F Moro, T Dalgaty, G Navarro, C Frenkel, G Indiveri, ...
2021 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2021
142021
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 …
D Bol, M Schramme, L Moreau, P Xu, R Dekimpe, R Saeidi, T Haine, ...
IEEE Journal of Solid-State Circuits 56 (7), 2256-2269, 2021
132021
Online training of spiking recurrent neural networks with phase-change memory synapses
Y Demirag, C Frenkel, M Payvand, G Indiveri
arXiv preprint arXiv:2108.01804, 2021
122021
A compact phenomenological digital neuron implementing the 20 Izhikevich behaviors
C Frenkel, JD Legat, D Bol
2017 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-4, 2017
112017
Bottom-up and top-down neuromorphic processor design: Unveiling roads to embedded cognition
C Frenkel
Ph. D. dissertation, 2020
92020
A Partial Reconfiguration-based scheme to mitigate Multiple-Bit Upsets for FPGAs in low-cost space applications
C Frenkel, JD Legat, D Bol
2015 10th International Symposium on Reconfigurable Communication-centric …, 2015
92015
ReckOn: A 28nm sub-mm2 task-agnostic spiking recurrent neural network processor enabling on-chip learning over second-long timescales
C Frenkel, G Indiveri
2022 IEEE International Solid-State Circuits Conference (ISSCC) 65, 1-3, 2022
72022
A 65-nm 738k-Synapse/mm2 Quad-Core Binary-Weight Digital Neuromorphic Processor with Stochastic Spike-Driven Online Learning
C Frenkel, JD Legat, D Bol
2019 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2019
62019
Spiking neural network integrated circuits: A review of trends and future directions
A Basu, L Deng, C Frenkel, X Zhang
2022 IEEE Custom Integrated Circuits Conference (CICC), 1-8, 2022
52022
Comparative analysis of redundancy schemes for soft-error detection in low-cost space applications
C Frenkel, JD Legat, D Bol
2016 IFIP/IEEE International Conference on Very Large Scale Integration …, 2016
52016
Sparsity provides a competitive advantage
C Frenkel
Nature Machine Intelligence 3 (9), 742-743, 2021
42021
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