Nicoletta Risi

Position:	PhD Student -- ended Apr 2022
Email:	nicoletta@ini.uzh.ch
Work phone:

I am interested in combining the latest advancements in neuromorphic technology with insights from the neuroscience field to understand computational principles in biology. Specifically, my main focus so far has been on emulating spiking models of stereo vision with mixed-signal neuromorphic hardware.

Supervisor

Giacomo Indiveri

Publications

2022

Hajar Asgari, Nicoletta Risi, Giacomo Indiveri FPGA Implementation of An Event-driven Saliency-based Selective Attention Model, 2022 IEEE Biomedical Circuits and Systems Conference (BioCAS) 2163-4025 , 2022

2021

Nicoletta Risi, Enrico Calabrese, Giacomo Indiveri Instantaneous Stereo Depth Estimation of Real-World Stimuli with a Neuromorphic Stereo-Vision Setup, 2021 IEEE International Symposium on Circuits and Systems (ISCAS), 2021

2020

Jingyue Zhao, Nicoletta Risi, Marco Monforte, Chiara Bartolozzi, Giacomo Indiveri, and Elisa Donati Closed-Loop Spiking Control on a Neuromorphic Processor Implemented on the iCub, IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 10:(4) 546 - 556, 2020
Nicoletta Risi, Alessandro Aimar, Elisa Donati, Sergio Solinas, Giacomo Indiveri A Spike-Based Neuromorphic Architecture of Stereo Vision, Frontiers in Neurorobotics, 2020

2019

Elisa Donati, Melika Payvand, Nicoletta Risi, Renate Krause, Giacomo Indiveri Discrimination of EMG Signals Using a Neuromorphic Implementation of a Spiking Neural Network, IEEE Transactions on Biomedical Circuits and Systems , 13:(5), 2019
Nicoletta Risi, Alessandro Aimar, Elisa Donati, Sergio Solinas, Giacomo Indiveri A spike-based neuromorphic stereo architecture for active vision, Proceedings of ROBUST ARTIFICIAL INTELLIGENCE FOR NEUROROBOTICS, University of Edinburgh (26 – 28 August 2019), 2019

2018

Elisa Donati, Melika Payvand, Nicoletta Risi, Renate Krause, Karla Burelo, Thomas Dalgaty, and Elisa Vianello, Giacomo Indiveri Processing EMG signals using reservoir computing on an event-based neuromorphic system, IEEE Biomedical Circuits and Systems Conference(BioCAS), 2018

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