Giacomo Indiveri

Supervised training of spiking neural networks for robust deployment on mixed-signal neuromorphic processors

Feb 12, 2021
Julian Büchel, Dmitrii Zendrikov, Sergio Solinas, Giacomo Indiveri, Dylan R. Muir

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A Spiking Neural Network (SNN) for detecting High Frequency Oscillations (HFOs) in the intraoperative ECoG

Nov 17, 2020
Karla Burelo, Mohammadali Sharifshazileh, Niklaus Krayenbühl, Georgia Ramantani, Giacomo Indiveri, Johannes Sarnthein

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* 11 pages, 3 figures, 2 tables. The results of this publication were obtained by simulating our hardware platform, built for online processing of biological signals. This hardware combines neural recording headstages with a multi-core neuromorphic processor arxiv.org/abs/2009.11245

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Implementing efficient balanced networks with mixed-signal spike-based learning circuits

Oct 27, 2020
Julian Büchel, Jonathan Kakon, Michel Perez, Giacomo Indiveri

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* 5 pages, 6 figures. Submitted to IEEE International Symposium on Circuits and Systems 2021

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An electronic neuromorphic system for real-time detection of High Frequency Oscillations (HFOs) in intracranial EEG

Sep 23, 2020
Mohammadali Sharifhazileh, Karla Burelo, Johannes Sarnthein, Giacomo Indiveri

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* 16 pages. A short video describing the rationale underlying the study can be viewed on https://youtu.be/NuAA91fdmaM

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