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Displaying 18 results.
    • Journal article
    MorphIC: A 65-nm 738k-Synapse/mm2 Quad-Core Binary-Weight Digital Neuromorphic Processor with Stochastic Spike-Driven Online Learning
    Frenkel, Charlotte[UCL] Legat, Jean-Didier[UCL] Bol, David[UCL] (2019) IEEE Transactions on Biomedical Circuits and Systems — Vol. 13, no.5, p. 999-1010 (2019)
    • Journal article
    A 2.24-pJ/bit 2.5-Gb/s UWB receiver in 28-nm FDSOI CMOS for low-energy chip-to-chip communications
    Gimeno Gasca, Cecilia[UCL] Flandre, Denis[UCL] Schramme, Maxime[UCL] Frenkel, Charlotte[UCL] Bol, David[UCL] (2020) A E Ue: International Journal of Electronics and Communication — Vol. 114, no. 152996, p. 8 (2020)
    • Dissertation
    Bottom-up and top-down neuromorphic processor design : Unveiling roads to embedded cognition
    Frenkel, Charlotte[UCL] (2020)
    • Journal article
    Hand-Gesture Recognition Based on EMG and Event-Based Camera Sensor Fusion: A Benchmark in Neuromorphic Computing.
    Ceolini, Enea Frenkel, Charlotte[UCL] Shrestha, Sumit Bam Taverni, Gemma Khacef, Lyes Payvand, Melika Donati, Elisa (2020) Frontiers in neuroscience — Vol. 14, p. 637 [1-15] (2020)
    • Journal article
    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
    Bol, David[UCL] Schramme, Maxime[UCL] Moreau, Ludovic[UCL] Xu, Pengcheng[UCL] Dekimpe, Rémi[UCL] Saeidi, Roghayeh[UCL] Haine, Thomas Frenkel, Charlotte[UCL] Flandre, Denis[UCL] (2021) IEEE Journal of Solid State Circuits — Vol. 56, no.7, p. 2256-2269 (2021)
    • Journal article
    Bottom-Up and Top-Down Approaches for the Design of Neuromorphic Processing Systems: Tradeoffs and Synergies Between Natural and Artificial Intelligence
    Frenkel, Charlotte Bol, David[UCL] Indiveri, Giacomo (2023) Proceedings of the IEEE — Vol. 111, no.6, p. 623-652 (2023)
    • Journal article
    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
    de Streel, Guerric[UCL] Stas, François[UCL] Gurné, Thibaut Durant, François Frenkel, Charlotte[UCL] Cathelin, Andreia Bol, David[UCL] (2017) IEEE Journal of Solid State Circuits — Vol. 52, no.4, p. 1163-1177 (23/03/2017)
    • Speech
    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
    de Streel, Guerric[UCL] Stas, François[UCL] Gurné, Thibaut Durant, François Frenkel, Charlotte[UCL] Bol, David[UCL] (2016) 2016 IEEE Symposium on VLSI Circuits (VLSI-Circuits) — Honolulu (USA)
    • Speech
    A 28-nm Convolutional Neuromorphic Processor Enabling Online Learning with Spike-Based Retinas
    Frenkel, Charlotte[UCL] Legat, Jean-Didier[UCL] Bol, David[UCL] (2020) 2020 IEEE International Symposium on Circuits and Systems (ISCAS) — Virtual symposium
    • Speech
    A 65-nm 738k-Synapse/mm2 Quad-Core Binary-Weight Digital Neuromorphic Processor with Stochastic Spike-Driven Online Learning
    Frenkel, Charlotte[UCL] Legat, Jean-Didier[UCL] Bol, David[UCL] (2019) 2019 IEEE International Symposium on Circuits and Systems (ISCAS 2019) — Sapporo (Japan)
    • Speech
    A Fully-Synthetized 20-Gate Digital Spike-Based Synapse with Embedded Online Learning
    Frenkel, Charlotte[UCL] Indiveri, Giacomo Legat, Jean-Didier[UCL] Bol, David[UCL] (2017) 2017 IEEE International Circuits and Systems Conference — Baltimore (USA)
    • Speech
    A Compact Phenomenological Digital Neuron Implementing the 20 Izhikevich Behaviors
    Frenkel, Charlotte[UCL] Legat, Jean-Didier[UCL] Bol, David[UCL] (2017) 2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) — Turin (Italie)
    • Speech
    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
    Bol, David[UCL] Schramme, Maxime[UCL] Moreau, Ludovic[UCL] Haine, Thomas[UCL] Xu, Pengcheng[UCL] Frenkel, Charlotte[UCL] Dekimpe, Rémi[UCL] Stas, François Flandre, Denis[UCL] (2019) 2019 IEEE International Solid- State Circuits Conference - (ISSCC) — San Francisco (USA)
    • Speech
    Comparative Analysis of Redundancy Schemes for Soft-Error Detection in Low-Cost Space Applications
    Frenkel, Charlotte[UCL] Legat, Jean-Didier[UCL] Bol, David[UCL] (2016) 2016 IFIP/IEEE International Conference on Very large Scale Integration (VLSI-SoC) — Tallinn (Estonia)
    • Speech
    A Partial Reconfiguration-Based Scheme to Mitigate Multiple-Bit Upsets for FPGAs in Low-Cost Space Applications
    Frenkel, Charlotte[UCL] Legat, Jean-Didier[UCL] Bol, David[UCL] (2015) 10th International Symposium on Reconfigurable Communication-centric Systems-on-Chip ( ReCoSoC 2015) — Brême (Germany)
    • Journal article
    Learning Without Feedback: Fixed Random Learning Signals Allow for Feedforward Training of Deep Neural Networks
    Frenkel, Charlotte[UCL] Lefebvre, Martin[UCL] Bol, David[UCL] (2021) Frontiers in Neuroscience — Vol. 15, p. 629892 (2021)
    • Journal article
    A 0.086-mm2 12.7-pJ/SOP 64k-Synapse 256-Neuron Online-Learning Digital Spiking Neuromorphic Processor in 28-nm CMOS
    Frenkel, Charlotte[UCL] Lefebvre, Martin[UCL] Legat, Jean-Didier[UCL] Bol, David[UCL] (2019) IEEE Transactions on Biomedical Circuits and Systems — Vol. 13, no.1, p. 145-158 (2019)
    • WorkingPaper
    Learning without feedback: Direct random target projection as a feedback-alignment algorithm with layerwise feedforward training
    Frenkel, Charlotte[UCL] Lefebvre, Martin[UCL] Bol, David[UCL] (2019)