‪Vanessa Rodrigues Coelho Leite‬

20182019202020212022202320243 1 9 15 16 19 2

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Alpha RennerForschungszentrum Jülich, Peter Grünberg Institut (PGI-15)Verified email at fz-juelich.de
Baris SerhanResearch Associate at the University of Manchester, UKVerified email at manchester.ac.uk
Chiara BartolozziResearcher, Fondazione Istituto Italiano di TecnologiaVerified email at iit.it
Raphaela KreiserInstitute of Neuroinformatics, UZH and ETH ZurichVerified email at ini.uzh.ch
Arren GloverIstituto Italiano di TecnologiaVerified email at iit.it
Aristofanes Correa SilvaProfessor de Ciência da Computação. Universidade Federal do MaranhãoVerified email at dee.ufma.br
Areolino de Almeida Netoprofessor de Ciência da Computação, Universidade Federal do MaranhãoVerified email at ufma.br
ANSELMO CARDOSO DE PAIVAFederal University of MaranhaoVerified email at nca.ufma.br
Yulia SandamirskayaZHAW Zurich University of Applied Sciences

Vanessa Rodrigues Coelho Leite

Institute of Neuroinformatics - ETH Zurich and University of Zurich

Verified email at ini.uzh.ch


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An on-chip spiking neural network for estimation of the head pose of the iCub robot R Kreiser, A Renner, VRC Leite, B Serhan, C Bartolozzi, A Glover, ... Frontiers in Neuroscience 14, 551, 2020	32	2020
Application on reinforcement learning for diagnosis based on medical image SMB Netto, VRC Leite, AC Silva, AC de Paiva, A de Almeida Neto Reinforcement learning 379, 2008	24	2008
teili: A toolbox for building and testing neural algorithms and computational primitives using spiking neurons M Milde, A Renner, R Krause, AM Whatley, S Solinas, D Zendrikov, N Risi, ... Unreleased software, Institute of Neuroinformatics, University of Zurich and …, 2018	8	2018
Cortical-inspired placement and routing: Minimizing the memory resources in multi-core neuromorphic processors VRC Leite, Z Su, AM Whatley, G Indiveri 2022 IEEE Biomedical Circuits and Systems Conference (BioCAS), 364-368, 2022	2	2022
Brain-inspired Placement and Routing for Neuromorphic Processors VRC Leite Universität Zürich, 2023		2023
A hardware-software co-design approach to minimize the use of memory resources in multi-core neuromorphic processors VRC Leite, Z Su, AM Whatley, G Indiveri arXiv preprint arXiv:2203.00655, 2022		2022

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