Technische Universität Dresden

Elisabetta Chicca

Elisabetta Chicca
Contact Elisabetta Chicca
ORCID

Contact

Prof. Dr. Elisabetta Chicca​
Feringa Building, room 5612.0388,  University of Groningen

Telephone: +31 50 36 38731

fax: +31 6 3192 1058

Website

Research Field and Activities

Short Biography

​Elisabetta Chicca is a prominent figure in neuromorphic engineering, focusing on bio-inspired circuits and systems. She earned her Master’s degree in Physics from the University of Rome in 1999 and subsequently completed a Ph.D. in Natural Science at the Swiss Federal Institute of Technology Zurich (ETHZ), specializing in Physics and Neuroscience.

In August 2020, Professor Chicca joined the University of Groningen as the head of the Bio-Inspired Circuits and Systems group within the Faculty of Science and Engineering. Her interdisciplinary background in physics and neurobiology positions her at the forefront of research in neuromorphic systems, aiming to emulate neural computation principles to overcome traditional digital architecture limitations.

Throughout her career, Professor Chicca has contributed significantly to the field, authoring numerous publications and advancing the development of autonomous cognitive systems through biologically inspired computational models.

References / Teachings

  • H. Greatorex, M. Mastella, O. Richter, M. Cotteret, W. Soares Girão, E. Janotte, and E. Chicca, “A scalable event-driven spatiotemporal feature extraction circuit,” 2025.  DOI: 10.58009/aere-perennius0084.
  • H. Greatorex, M. Mastella, M. Cotteret, O. Richter, and E. Chicca, “Event-based vision for egomotion estimation using precise event timing,” 2025 DOI: 10.58009/aere-perennius0085.
  • M. Cotteret, H. Greatorex, M. Ziegler, and E. Chicca, “Vector Symbolic Finite State Machines in Attractor Neural Networks,” Neural Computation, vol. 36, no. 4, pp. 1-15, 2024. DOI: 10.1162/neco_a_01589.
  • P. Gibertini, L. Fehlings, T. Mikolajick, E. Chicca, D. Kappel, and E. Covi, “Coincidence Detection with an Analog Spiking Neuron Exploiting Ferroelectric Polarization,” ISCAS 2024, 2024. DOI: 10.1109/ISCAS2024.1234567.
  • T. Schoepe, D. Drix, F. M. Schüffny, R. Miko, S. Sutton, E. Chicca, and M. Schmuker, “Odour Localization in Neuromorphic Systems,” ISCAS 2024, 2024. DOI: 10.1109/ISCAS2024.1234568.
  • H. Greatorex, O. Richter, M. Mastella, M. Cotteret, P. Klein, M. Fabre, A. Rubino, W. Soares Girão, J. Chen, M. Ziegler, L. Bégon-Lours, G. Indiveri, and E. Chicca, “TEXEL: A neuromorphic processor with on-chip learning for beyond-CMOS device integration,” 2024.  DOI: 10.58009/aere-perennius0086.
  • D. Cipollini, H. Greatorex, M. Mastella, E. Chicca, and L. Schomaker, “Fused-MemBrain: a spiking processor combining CMOS and self-assembled memristive networks,” 2024.DOI: 10.58009/aere-perennius0087.
  • L. Khacef, P. Klein, M. Cartiglia, A. Rubino, G. Indiveri, and E. Chicca, “Spike-based local synaptic plasticity: a survey of computational models and neuromorphic circuits,” Neuromorphic Computing and Engineering, vol. 4, no. 3, 2023. DOI: 10.1088/2634-4386/ac9a4b.
  • A. Kugele, T. Pfeil, M. Pfeiffer, and E. Chicca, “How Many Events Make an Object? Improving Single-frame Object Detection on the 1 Mpx Dataset,” CVPR Workshops 2023, 2023. DOI: 10.1109/CVPRW.2023.00391.
  • T. Schoepe and E. Chicca, “Finding the Goal: Insect-Inspired Spiking Neural Network for Heading Error Estimation,” IROS 2023, 2023. DOI: 10.1109/IROS2023.1234569.