Technical papers

Scientific publications: Journal Papers

• Vianello, A. Valentian, “Section 2.4 – “Enabling technologies for the future heterogeneous neuromorphic accelerators” in 2021 Roadmap on Neuromorphic Computing and Engineering” of IOP Publishing – Journal Neuromorphic Computing and Engineering, 2021.
• Martin, M. Ernoult, Jérémie Laydevant, Shuai-shuai Li, D. Querlioz, Teodora Petrisor, J. Grollier – “EqSpike: spike-driven equilibrium propagation for neuromorphic implementations”, iScience 2021 Feb 20;24(3). https://www.cell.com/iscience/fulltext/S2589-0042(21)00190-5?_returnURL=https%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS2589004221001905%3Fshowall%3Dtrue
  https://doi.org/10.1016/j.isci.2021.102222
• Amirreza Yousefzadeh, Manolis Sifalakis, “Training for temporal sparsity in deep neural networks, application in video processing”, Computer Science > Vision and Pattern Recognition arXiv:2107.07305v1 [Cs.CV] 15 July 2021 https://arxiv.org/pdf/2107.07305.pdf
  https://doi.org/10.48550/arXiv.2107.07305
• Büchel, D. Zendrikov, S. Solinas, G. Indiveri, D. R. Muir, “Supervised training of spiking neural networks for robust deployment on mixed-signal neuromorphic processors”, Nature, 03 December, 2021.
  https://www.nature.com/articles/s41598-021-02779-x
  https://doi.org/10.1038/s41598-021-02779
• J Minguet Lopez et al , “OxRAM + OTS optimization for binarized neural network hardware implementation” December 2021 Semicond. Sci. Technol. 37 014001. https://iopscience.iop.org/article/10.1088/1361-6641/ac31e2
  https://doi.org/10.1088/1361-6641/ac31e2
  Petar Jokic, Erfan Azarkhish, Andrea Bonetti, Marc Pons, Stephane Emery, and Luca Benini. 2022. A Construction Kit for Efficient Low Power Neural Network Accelerator Designs. ACM Trans. Embedded. Computing. Syst. 21, 5, Article 56 (October 2022), 36 pages.
  https://doi.org/10.1145/3520127.
• Dennis V Christensen et al, “2022 roadmap on neuromorphic computing and engineering”, 2022 Neuromorph. Comput. Eng. 2 022501. https://iopscience.iop.org/article/10.1088/2634-4386/ac4a83
• Tiago Dominguez, Tomas Brandao, Joao C. Ferreira “Machine Learning for Detection and Prediction of Crop Diseases and Pests: A Comprehensive Survey”. MDPI/Agriculture 1 September 2022, https://doi.org/10.3390/agriculture12091350
• Tiago Dominguez, Tomas Brandao, Ricardo Ribeiro Joao C. Ferreira, “Insect detection in Sticky Trap Images of Tomato Crops Using Machine Learning” , MDPI/Agriculture 21 November 2022. https://doi.org/10.3390/agriculture12111967
• Julian Büchel, Fynn Faber, Dylan R. Muir, “NETWORK INSENSITIVITY TO PARAMETER NOISE VIA PARAMETER ATTACK DURING TRAINING”, Open Review, 2022
  https://openreview.net/forum?id=-8sBpe7rDiV
• Amirhossein Rostami, Bernhard Vogginger, Yexin Yan, Christian G. Mayr, E-prop on SpiNNaker 2: Exploring online learning in spiking RNNs on neuromorphic hardware. Publication in Frontiers of Neuromorphic Engineering, 28 November 2022, Sec. Neuromorphic Engineering. https://doi.org/10.3389/fnins.2022.1018006
• Lennart Bamberg, Arash Pourtaherian, Luc Waeijen, Anupam Hahar, Orlando Moreira, “Synapse Compression for Event-Based Convolutional-Neural-Network Accelerators”, IEEE Transactions on Parallel and Distributed Systems, Vol. 34, Issue 4, April 2023, pp1227-1240.
  https://doi.org/10.1109/TPDS.2023.3239517
• Gianfranco Mauro, Ignacio Martinez-Rodriguez, Julius Ott, ·Lorenzo Servadei, · Robert Wille, · Manuel P. Cuellar, · Diego P. Morales-Santos, “Context-definable radar-based people counting via few-shot learning”. Published 8 August 2023 at https://link.springer.com/article/10.1007/s10489-023-04778-z as Applied Intelligence (2023) 53:25359–25387
  https://doi.org/10.1007/s10489-023-04778-z
• Zhe Su, Hyunjung Hwang, Tristan Torchet, Giacomo Indiveri , “Core interface optimization for multi-core neuromorphic processor”, Computer Science > Hardware Architecture [Cs.AR], Neural and Evolutionary computing (cs.NE) arXiv:2308.04171 v1 [Cs.AR], 8 Aug 2023, https://doi.org/10.48550/arXiv.2308.04171,
  https://arxiv.org/pdf/2308.04171.pdf
• L Bamberg, A Pourtaherian, L Waeijen, A Chahar, O Moreira, “Synapse Compression for Event-Based Convolutional-Neural-Network Accelerators”, 2023 IEEE Transactions on Parallel and Distributed Systems 34 (4), 1227-1240
  https://doi.org/10.1109/TPDS.2023.3239517
• Martin-Martin, M. Verona-Almeida, R. Padial-Allué, J. Mendez-Gomez, E. Castillo, L. Parrilla,” Generic SNN: a framework for easy development of Spiking Neural Networks”; IEEE Access (Volume 12), 22 April 2024, pp 57504-57518
  https://ieeexplore.ieee.org/document/10506505
• Saeid Haghighatshoar, Dylan Muir, “Low-power SNN-based audio source localisation using a Hilbert Transform spike encoding scheme”, Submitted to Nature Communications, 2024
  https://arxiv.org/abs/2402.11748
• Jason Yik, Korneel Van den Berghe et al
  “NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems”
  Submitted to Nature Comms. 2024
  https://doi.org/10.48550/arXiv.2304.04640

Scientific publications: Conference Papers

• -R. Léquepeys, M. Duranton, S. Bonnetier, S. Catrou, R. Fournel, T. Ernst, L. Hérault, D. Louis, A. Jerraya, A. Valentian, F. Perruchot, T. Signamarcheix, E. Vianello, C. Reita, “Overcoming the Data Deluge Challenges with Greener Electronics,” Joint Plenary Paper, ESSDERC – ESSCIRC Conference, Grenoble, France, September 2021.
  https://doi.org/10.1109/ESSCIRC53450.2021.9567836
• M. Lopez et al., “Ge-Se-Sb-N-based OTS scaling perspectives for high-density 1 S1R crossbar arrays,” 2021 IEEE International Memory Workshop (IMW), 16_19 May 2021, pp. 1-4, doi: 10.1109/IMW51353.2021.9439606. https://ieeexplore.ieee.org/document/9439606
• Narduzzi, S. A. Bigdeli, S. -C. Liu and L. A. Dunbar, “Optimizing The Consumption Of Spiking Neural Networks With Activity Regularization,” ICASSP 23-27 May 2022 – 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Singapore 2022, pp. 61-65, doi: 10.1109/ICASSP43922.2022.9746375. https://ieeexplore.ieee.org/abstract/document/9746375 https://doi.org/10.1109/ICASSP43922.2022.9746375
• M. Lopez et al., “1S1R sub-threshold operation in Crossbar arrays for low power BNN inference computing,” 2022 IEEE International Memory Workshop (IMW), 15-18 May 2022, pp. 1-4, doi: 10.1109/IMW52921.2022.9779253. https://ieeexplore.ieee.org/document/9779253.
• Pengcheng Xu, Lei Zhang, Ferdinand Pscheidl, David Borggreve, Frank Vanselow and Ralf Brederlow, Fraunhofer “A Dynamic Charge-Transfer-Based Crossbar with Low Sensitivity to Parasitic Wire-Resistance”, 2022 IEEE International Symposium on Circuits and Systems (ISCAS) , 27 May – 01. June 2022
  https://ieeexplore.ieee.org/document/9937243
• Julien Büchel, Fynn Faber, Dylan R. Muir, “Network Insensitivity To Parameter Noise Via Adversarial Regularization”, ICLR 2022 Conference. Last revised version 9 June 2022.
  https://openreview.net/forum?id=-8sBpe7rDiV
• Cai, S. Van Beek, S. Rao, F. Fan, M. Gumpta, V.D. Guyen, G. Jayakumar, G. Taimelli, S. Couet, G.S Kar, “Selective operations of multi-pillr SOT-MRAM for high density and low power emnedded memories”, 2022 IEEE Symposium on VLSI Technology and Circuits, 12-17 June 2022s
  https://ieeexplore.ieee.org/document/9830307
• Yousefzadeh, G.-J. van Schaik, M. Tahghighi, P. Detterer, S. Traferro, M. Hijdra, J. Stuijt, F. Corradi, M. Sifalakis, M. Konijnenburg, “SENeCA: Scalable Energy-efficient Neuromorphic Computer Architecture”, Artificial Intelligence Circuit and Systems (AICAS), 13-15 June 2022, Incheon, Republic of Korea
  https://ieeexplore.ieee.org/document/9870025
• Matthias Völker, Roland Müller, Sreenivas Jambunathan, Julio Wissing, Philipp Woller, Nicolas Witt, Loreto Mateu. “Flexible Low-Power KI-Bechleuniger”
• Konferenz: EASS 2022, 11. GMM_Fachtagung Energie Autonome Sensorsysteme EASS 2022, July 2022.
  https://www.vde-verlag.de/proceedings-de/455896020.html
• Amirreza Yousefzadeh, Manolis Sifalakis, “Delta Activation Layer exploits temporal sparsity for efficient embedded video processing”, 2022 International Joint Conference on Neural Networks (IJCNN), 18-23 July 2022
  https://ieeexplore.ieee.org/document/9892578
• Simon Narduzzi, Loreto Mateu, Petar Jokic, Erfan Azarkhish, and Andrea Dunbar: CSEM. “Benchmarking Neuromorphic Computing for Inference”. Book published on the presentation done during the “Industrial Artificial Intelligence: Technologies and Applications (EAIA)” on July 25-26, 2022, in Vienna, Austria. River Publishers Series in Communications, June 2022.
  http://dx.doi.org/10.1201/9781003377382-1
• Maarten Molendijk, Kanishkan Vadivel, Federico Corradi, Gert-Jan van Schaik, Amirreza Yousefzadeh, and Henk Corporaal, imec-NL, “Benchmarking the Epiphany Processor as a Reference Neuromorphic Architecture”. Book published on the presentation done during the “Industrial Artificial Intelligence: Technologies and Applications (EAIA)” on July 25-26, 2022, in Vienna, Austria. River Publishers Series in Communications, June022
  http://dx.doi.org/10.1201/9781003377382-2
• Preetha Vijayan, Amirreza Yousefzadeh, Manolis Sifalakis, Rene van Leuken; imec-NL, “Temporal Delta Layer: Exploiting Temporal Sparsity in Deep Neural Networks for Time-Series Data”. Book published on the presentation done during the “Industrial Artificial Intelligence: Technologies and Applications (EAIA)” on July 25-26, 2022, in Vienna, Austria. River Publishers Series in Communications, June 2022
  http://dx.doi.org/10.1201/9781003377382-3
• Simon Narduzzi, Dorvan Favre, Nuria Pazos Escudero and L. Andrea Dunbar; CSEM “Deploying a Convolutional Neural Network on Edge MCU and Neuromorphic Hardware Platforms”. Book published on the presentation done during the “Industrial Artificial Intelligence: Technologies and Applications (EAIA)” on July 25-26, 2022, in Vienna, Austria. River Publishers Series in Communications, June 2022.
  https://doi.org/10.13052/rp-9788770227902
• Z Zhu, A Pourtaherian, L Waeijen, L Bamberg, E Bondarev, O Moreira, “ARTS: An adaptive regularization training schedule for activation sparsity exploration”, 2022 25th Euromicro Conference on Digital System Design (DSD), 31 August -02 September, pp 415-422
  https://ieeexplore.ieee.org/abstract/document/9996686
• Loreto Mateu, Johannes Leugering, Roland Müller, Yogesh Patil, Maen Mallah, Marco Breiling and Ferdinand Pscheidl; Fraunhofer. “Tools and Methodologies for Edge-AI Mixed-Signal Inference Accelerators”. Book published on the presentation done during the Embedded Artificial Intelligence (EAI) Workshop ESSICR September 19th in Milano, Italy. River Publishers Series in Communications, December 2022. https://publica.fraunhofer.de/handle/publica/448686
• Sourav De, Sunanda Thunder, David Lehninger, Michael P.M. Jank, Maximilian Lederer, Yannick Raffel, Konrad Seidel, and Thomas Kämpfe; Fraunhofer, “Low-Power Vertically Stacked One Time Programmable Multi-bit IGZO-Based BEOL Compatible Ferroelectric TFT Memory Devices with Lifelong Retention for Monolithic 3D-Inference Engine Applications”.Book published on the presentation done during the Embedded Artificial Intelligence (EAI) Workshop ESSICR September 19th in Milano, Italy. River Publishers Series in Communications, December 2022
  https://ieeexplore.ieee.org/document/9967474
• Ivan Miro-Panades, Inna Kucher, Vincent Lorrain, and Alexandre Valentian ; CEA, “Meeting the Latency and Energy Constraints on Timing-critical Edge-AI Systems”, CEA, Book published on the presentation done during the Embedded Artificial Intelligence (EAI) Workshop ESSICR September 19th in Milano, Italy. River Publishers Series in Communications, December 2022. https://doi.org/10.1201/9781003394440
• Hannah Bos and Dylan Muir; SynSense, “Sub-mW Neuromorphic SNN Audio Processing Applications with Rockpool and Xylo”. Book published on the presentation done during the Embedded Artificial Intelligence (EAI) Workshop ESSICR September 19th in Milano, Italy. River Publishers Series in Communications, December 2022.
  https://ieeexplore.ieee.org/book/9967439
• Cai; G. Talmelli, K. Fan; S. Van Beek, V. Kateel, M. Gupta, M.G. Monteiro, M. Ben Chroud; G. Jayakumar; A. Trovato.; S. Rao; G.S. Kar; S. Couet, “First demonstration of field-free perpendicular SOT-MRAM for ultrafast and high-density embedded memories”. 2022 International Electron Devices Meeting (IEDM), 03-07 December 2022.
  https://ieeexplore.ieee.org/document/10019360
• Rao, Siddharth; Cai, Kaiming; Talmelli, Giacomo; Franchina-Vergel, Nathali; Janssens, Ward; Hody, Hubert; Yasin, Farrukh; Wostyn, Kurt; Couet, Sebastien, “Spin-orbit torque MRAM for ultrafast cache and neuromorphic computing applications”, 2023 IEEE International Memory Workshop (IMW), May 21-24 2023
  http://dx.doi.org/10.1109/IMW56887.2023.10145991
  https://ieeexplore.ieee.org/document/10145991
• Subhechha, Subhali et al. “Demonstration of multilevel multiply accumulate operations for AiMC using engineered a-IGZO transistors-based 2T1C gain cell arrays”. 2023 IEEE International Memory Workshop (IMW), 21-24 May 2023.
  https://ieeexplore.ieee.org/document/10145946
• Chang, P. Jokic, S. Emery, L. “Benini, An Ultra-Low-Power Serial Implementation for Sigmoid and Tanh Using CORDIC Algorithm”, IEEE, 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE). https://ieeexplore.ieee.org/document/10136960
• Chen Liu, Jiawei Li, Hector A. Gonzalez, Bernhard Vogginger, Christian Mayr, “Complex-Valued Neural Networks for Doppler Disambiguation in FMCW Radars”, IEEE, IRS 2023.
  https://doi.org/10.23919/IRS57608.2023.10172424
• Mario Diaz Nava, Tutorial “ANDANTE: AI for New Devices And Technologies at the Edge”, Proceedings of the 4th Summer School on Cyber-Physical Systems and Internet-of-Things, 6 – 8 June 2023, in Budva, Vol. IV, 2023, page 233.
  https://zenodo.org/record/8113313.
• Z Zhu, A Pourtaherian, L Waeijen, E Bondarev, O Moreira, “STAR: Sparse Thresholded Activation under partial-Regularization for Activation Sparsity”, Exploration” 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 17-24 June 2023.
  https://ieeexplore.ieee.org/abstract/document/10208773
  Tang, “SENECA: Building a fully digital neuromorphic processor, design trade-offs and challenges”, Neuromorphic Computing Netherlands (NCN2023) on October 2, 2023, in Groningen, The Netherlands
  https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2023.1187252/full
• Antonio Gracia-Berna, Michael Hardt, Adriana Febles Rodriguez, Daniel Pereira, Pablo Losada‡, Sergio Peiteado, Enrique Romay, Alvaro Rodrıguez, Javier Menendez, Marcos Lopez, “A performance characterization of AI algorithms on energy-efficient hardware with applications to robust autonomous landing”. Best Paper Award UAS/AMM Landing Systems BOS paper 3012, 42nd Digital Avionics Systems Conference (DASC), October 1-5 2023, Barcelona, Spain. https://2023.dasconline.org/best-paper-awards
  https://ieeexplore.ieee.org/document/10311239
• Roland Müller, Loreto Mateu and Ralf Brederlow, Fraunhofer
  “Analog/Mixed-Signal Standard Cell Based Approach for Automated Circuit Generation of Neural Network Accelerator”
  DCIS Conference 2023, 15. – 17. November 2023, Malaga, Spain, IEEE
  https://doi.org/10.1109/DCIS58620.2023.10335979
  https://doi.org/10.24406/h-459609
• Escuin, Carlos; García-Redondo, Fernando; Zahedi, Mahdi; Ibáñez, Pablo; Monreal, Teresa; Viñals, Víctor; Llabería, José María; Myers, James; Ryckaert, Julien; Biswas, Dwaipayan; Catthoor, Francky. “MNEMOSENE++: Scalable Multi-Tile Design with Enhanced Buffering and VGSOT-MRAM based Compute-in-Memory Crossbar Array”. 2023 30th IEEE International Conference on Electronics, Circuits and Systems (ICECS), 04-07 December 2023.
  https://ieeexplore.ieee.org/document/10382874
• Van Beek, Simon; Cai, Kaiming; Yasin, Farrukh; Hody, Hubert; Talmelli, Giacomo; Nguyen, Van Dai; Trovato, Anna; Franchina, Nathali; Palomino, Alvaro; Wostyn, Kurt; Rao, Siddharth; Kar, Gouri Sankar; Couet, Sebastien. “Scaling the SOT track – A path towards maximizing efficiency in SOT-MRAM”. 2023 International Electron Devices Meeting (IEDM),09-13 December 2023.
  http://dx.doi.org/10.1109/IEDM45741.2023.10413749
• Zhu, A Pourtaherian, L Waeijen, E Bondarev, O Moreira,”CATS: Combined Activation and Temporal Suppression for Efficient Network Inference”, Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024, pp. 8166-8175 2024
  https://openaccess.thecvf.com/content/WACV2024/html/Zhu_CATS_Combined_Activation_and_Temporal_Suppression_for_Efficient_Network_Inference_WACV2024_paper.html

Konferenz: EASS 2022, 11. GMM_Fachtagung Energie Autonome Sensorsysteme EASS 2022, July 2022.

• Simon Narduzzi, Loreto Mateu, Petar Jokic, Erfan Azarkhish, and Andrea Dunbar: CSEM. “Benchmarking Neuromorphic Computing for Inference”. Book published on the presentation done during the “Industrial Artificial Intelligence: Technologies and Applications (EAIA)” on July 25-26, 2022, in Vienna, Austria. River Publishers Series in Communications, September 2022.
• Maarten Molendijk, Kanishkan Vadivel, Federico Corradi, Gert-Jan van Schaik, Amirreza Yousefzadeh, and Henk Corporaal, imec-NL, “Benchmarking the Epiphany Processor as a Reference Neuromorphic Architecture”. Book published on the presentation done during the “Industrial Artificial Intelligence: Technologies and Applications (EAIA)” on July 25-26, 2022, in Vienna, Austria. River Publishers Series in Communications, September 2022
• Preetha Vijayan, Amirreza Yousefzadeh, Manolis Sifalakis, Rene van Leuken; imec-NL, “Temporal Delta Layer: Exploiting Temporal Sparsity in Deep Neural Networks for Time-Series Data”. Book published on the presentation done during the “Industrial Artificial Intelligence: Technologies and Applications (EAIA)” on July 25-26, 2022, in Vienna, Austria. River Publishers Series in Communications, September 2022
• Simon Narduzzi, Dorvan Favre, Nuria Pazos Escudero and L. Andrea Dunbar; CSEM “Deploying a Convolutional Neural Network on Edge MCU and Neuromorphic Hardware Platforms”. Book published on the presentation done during the “Industrial Artificial Intelligence: Technologies and Applications (EAIA)” on July 25-26, 2022, in Vienna, Austria. River Publishers Series in Communications, September 2022. https://doi.org/10.13052/rp-9788770227902
• Loreto Mateu, Johannes Leugering, Roland Müller, Yogesh Patil, Maen Mallah, Marco Breiling and Ferdinand Pscheidl; Fraunhofer. “Tools and Methodologies for Edge-AI Mixed-Signal Inference Accelerators”. Book published on the presentation done during the Embedded Artificial Intelligence (EAI) Workshop ESSICR September 19th in Milano, Italy. River Publishers Series in Communications, December 2022. https://publica.fraunhofer.de/handle/publica/448686
• Sourav De, Sunanda Thunder, David Lehninger, Michael P.M. Jank, Maximilian Lederer, Yannick Raffel, Konrad Seidel, and Thomas Kämpfe; Fraunhofer, “Low-Power Vertically Stacked One Time Programmable Multi-bit IGZO-Based BEOL Compatible Ferroelectric TFT Memory Devices with Lifelong Retention for Monolithic 3D-Inference Engine Applications”.Book published on the presentation done during the Embedded Artificial Intelligence (EAI) Workshop ESSICR September 19th in Milano, Italy. River Publishers Series in Communications, December 2022
• Ivan Miro-Panades, Inna Kucher, Vincent Lorrain, and Alexandre Valentian ; CEA, “Meeting the Latency and Energy Constraints on Timing-critical Edge-AI Systems”, CEA, Book published on the presentation done during the Embedded Artificial Intelligence (EAI) Workshop ESSICR September 19th in Milano, Italy. River Publishers Series in Communications, December 2022. https://doi.org/10.1201/9781003394440
• Hannah Bos and Dylan Muir; SynSense, “Sub-mW Neuromorphic SNN Audio Processing Applications with Rockpool and Xylo”. Book published on the presentation done during the Embedded Artificial Intelligence (EAI) Workshop ESSICR September 19th in Milano, Italy. River Publishers Series in Communications, December 2022. https://ieeexplore.ieee.org/book/9967439
• Antonio Gracia-Berna, Michael Hardt, Adriana Febles Rodriguez, Daniel Pereira, Pablo Losada‡, Sergio Peiteado, Enrique Romay, Alvaro Rodrıguez, Javier Menendez, Marcos Lopez, “A performance characterization of AI algorithms on energy-efficient hardware with applications to robust autonomous landing”. Best Paper Award UAS/AMM Landing Systems BOS paper 3012 at https://2023.dasconline.org/best-paper-awards 42nd Digital Avionics Systems Conference (DASC), October 1-5 2023, Barcelona, Spain. https://ieeexplore.ieee.org/document/10311239
• Chang, P. Jokic, S. Emery, L. “Benini, An Ultra-Low-Power Serial Implementation for Sigmoid and Tanh Using CORDIC Algorithm”, IEEE, 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE). https://ieeexplore.ieee.org/document/10136960
• Chen Liu, Jiawei Li, Hector A. Gonzalez, Bernhard Vogginger, Christian Mayr, “Complex-Valued Neural Networks for Doppler Disambiguation in FMCW Radars”, IEEE, IRS 2023. https://doi.org/10.23919/IRS57608.2023.10172424
• Roland Müller, Loreto Mateu, Ralf Brederlow, “Analog/Mixed-Signal Standard Cell Based Approach for Automated Circuit Generation of Neural Network Accelerator”, IEEE, Málaga, Spain, DCIS 2023.

Pengcheng Xu, Lei Zhang, Ferdinand Pscheidl, David Borggreve, Frank Vanselow, Ralf Brederlow, “A Dynamic Charge-Transfer-Based Crossbar with Low Sensitivity to Parasitic Wire-Resistance”, ISCAS 2023. https://ieeexplore.ieee.org/document/9937243