Davide Zambrano

davide.zambrano@epfl.ch +41 21 693 26 52
EPFL STI IMT LIS
MED 1 1021 (Bâtiment MED)
Station 9
CH-1015 Lausanne
+41 21 693 26 52
Office: MED 1 1021
EPFL > STI > IMT > LIS
Web site: Web site: https://lis.epfl.ch/
Fields of expertise
Neural networks, reinforcement learning, spiking neural networks
Biography
I am a senior postdoc in the Laboratory of Intelligent Systems of the Ecole polytechnique fédérale de Lausanne (EPFL). My research interests are in the fields of spiking neural networks, neuromorphic computing, deep learning and reinforcement learning. I received my M.Sc. degree (cum laude) in biomedical engineering and my Ph.D. degree in health technologies from the University of Pisa, Pisa, Italy, in 2008 and 2012, respectively. I worked as a Ph.D. and postdoc at The BioRobotics Institute of The Scuola Superiore Sant Anna, Pisa, Italy. From 2014 to 2018 I have worked as postdoc at the Machine Learning department of the Centrum Wiskunde and Informatica (CWI) in collaboration with Prof. Sander Bohte on spiking neural networks, biological plausible reinforcement learning models.
Publications
Selected publications
Davide Zambrano, Roeland Nusselder, H Steven Scholte, Sander Bohte |
Sparse Computation in Adaptive Spiking Neural Networks |
Davide Zambrano, Pieter R Roelfsema, Sander M Bohte |
Continuous-time on-policy neural reinforcement learning of working memory tasks |
Federico Corradi, Davide Zambrano, Marco Raglianti, Giovanni Passetti, Cecilia Laschi, Giacomo Indiveri |
Towards a Neuromorphic Vestibular System |
Davide Zambrano, Cianchetti Matteo, Cecilia Laschi |
The Morphological Computation Principles as a New Paradigm for Robotic Design |
Davide Zambrano, Egidio Falotico, Luigi Manfredi, Cecilia Laschi |
A model of the smooth pursuit eye movement with prediction and learning |