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Silicon neurons meet biological neurons

PhD defence, Friday 25 November 2022, Margherita Ronchini

Margherita Ronchini

During her PhD studies, Margherita Ronchini researched neuromorphic computing systems. Neuromorphic computing is an information-processing paradigm that looks at how the brain makes sense of the stream of environmental stimuli received from the afferents, and tries to apply the same working principles by loosely replicating the morphology of biological neural networks on a physical substrate. Margherita investigated the use of neuromorphic systems in implantable neuroprostheses for monitoring neural signals in neurological disorders.

The new research findings show that neuromorphic devices can be applied for the detection of anomalous neural patterns correlated with seizures in epilepsy.
The PhD study was completed at Integrated Circuits & Electronics Laboratory, Electrical and Computer Engineering, Faculty of Technical Sciences, Aarhus University.

This summary was prepared by the PhD student.

Time: Friday, 25 November 2022 at 13.00 PM
Place: Building 5125-424, Electrical and Computer Engineering, Aarhus University, Finlandsgade 22, 8200 Aarhus and online
Title of PhD thesis: Low Power IC Implementation of Spiking Neural Networks for Implantable Neuromorphic Chips

Contact information: Margherita Ronchini, e-mail: m.ronchini@ece.au.dk, tel.: +45 21142746

Members of the assessment committee:

Dr. Abu Sebastian, IBM Research Europe, Zurich, Switzerland

Assistant Professor Michela Chiappalone, University of Genova, Italy

Professor Henrik Karstoft (chair), Electrical and Computer Engineering, Aarhus University, Denmark

Main supervisor:
Professor Farshad Moradi, Electrical and Computer Engineering, Aarhus University, Denmark

Co-supervisor:
Assistant Professor Hooman Farkhani, Electrical and Computer Engineering, Aarhus University, Denmark

Language: The PhD dissertation will be defended in English

The defence is public.
The PhD thesis is available for reading at the Graduate School of Technical Sciences/GSTS,

Jens Baggesens Vej 53, building 5221, 8200 Aarhus N.

17427 / i43