Prof. Dr. Elisabetta Chicca
Feringa Building, room 5612.0388, University of Groningen
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.
A scalable event-driven spatiotemporal feature extraction circuit
Event-based vision for egomotion estimation using precise event timing
Vector Symbolic Finite State Machines in Attractor Neural Networks
Coincidence Detection with an Analog Spiking Neuron Exploiting Ferroelectric Polarization
Odour Localization in Neuromorphic Systems
TEXEL: A neuromorphic processor with on-chip learning for beyond-CMOS device integration
Fused-MemBrain: a spiking processor combining CMOS and self-assembled memristive networks
Spike-based local synaptic plasticity: a survey of computational models and neuromorphic circuits
How Many Events Make an Object? Improving Single-frame Object Detection on the 1 Mpx Dataset
Finding the Goal: Insect-Inspired Spiking Neural Network for Heading Error Estimation