Predictive tracking across occlusions in the iCub robot. - Egidio Falotico; Matteo Taiana; Davide Zambrano; Alexandre Bernardino; José Santos-Victor; Paolo Dario; Cecilia Laschi (Humanoids, 2009)

A comparison between two bio-inspired adaptive models of Vestibulo-Ocular Reflex (VOR) implemented on the iCub robot. - Elena Franchi; Egidio Falotico; Davide Zambrano; Giovanni Gerardo Muscolo; Laura Marazzato; Paolo Dario; Cecilia Laschi (Humanoids, 2010)

Implementation of a bio-inspired visual tracking model on the iCub robot. - Egidio Falotico; Davide Zambrano; Giovanni Gerardo Muscolo; Laura Marazzato; Paolo Dario; Cecilia Laschi (RO-MAN, 2010)

Gaze control modelling and robotic implementation. - Davide Zambrano (2012)

Implementation of a neuromorphic vestibular sensor with analog VLSI neurons. - Giovanni Passetti; Federico Corradi; Marco Raglianti; Davide Zambrano; Cecilia Laschi; Giacomo Indiveri (BioCAS, 2013)

Spiking AGREL. - Davide Zambrano; Jaldert O. Rombouts; Cecilia Laschi; Sander M. Bohté (ESANN, 2014)

Towards a Neuromorphic Vestibular System. - Federico Corradi; Davide Zambrano; Marco Raglianti; Giovanni Passetti; Cecilia Laschi; Giacomo Indiveri (IEEE Trans. Biomed. Circuits Syst., 2014)

Continuous-time on-policy neural Reinforcement Learning of working memory tasks. - Davide Zambrano; Pieter R. Roelfsema; Sander M. Bohté (IJCNN, 2015)

Fast and Efficient Asynchronous Neural Computation with Adapting Spiking Neural Networks. - Davide Zambrano; Sander M. Bohté (CoRR, 2016)

Efficient Computation in Adaptive Artificial Spiking Neural Networks. - Davide Zambrano; Roeland Nusselder; H. Steven Scholte; Sander M. Bohté (CoRR, 2017)

Continuous-Time Spike-Based Reinforcement Learning for Working Memory Tasks. - Marios Karamanis; Davide Zambrano; Sander M. Bohté (ICANN (2), 2018)

Gating Sensory Noise in a Spiking Subtractive LSTM. - Isabella Pozzi; Roeland Nusselder; Davide Zambrano; Sander M. Bohté (ICANN (1), 2018)

An image representation based convolutional network for DNA classification. - Bojian Yin; Marleen Balvert; Davide Zambrano; Alexander Schönhuth; Sander M. Bohté (ICLR (Poster), 2018)

Seeking quality diversity in evolutionary co-design of morphology and control of soft tensegrity modular robots. - Enrico Zardini; Davide Zappetti; Davide Zambrano; Giovanni Iacca; Dario Floreano (GECCO, 2021)

Learning continuous-time working memory tasks with on-policy neural reinforcement learning. - Davide Zambrano; Pieter R. Roelfsema; Sander M. Bohté (Neurocomputing, 2021)

DeepSportradar-v1: Computer Vision Dataset for Sports Understanding with High Quality Annotations. - Gabriel Van Zandycke; Vladimir Somers; Maxime Istasse; Carlo Del Don; Davide Zambrano (MMSports@MM, 2022)

Autonomous Detection and Deterrence of Pigeons on Buildings by Drones. - Fabrizio Schiano; Dominik Natter; Davide Zambrano; Dario Floreano (IEEE Access, 2022)

VIPriors 2: Visual Inductive Priors for Data-Efficient Deep Learning Challenges. - Attila Lengyel 001; Robert-Jan Bruintjes; Marcos Baptista-Ríos; Osman Semih Kayhan; Davide Zambrano; Nergis Tomen; Jan van Gemert (CoRR, 2022)

Leveraging Spiking Deep Neural Networks to Understand the Neural Mechanisms Underlying Selective Attention. - Lynn K. A. Sörensen; Davide Zambrano; Heleen A. Slagter; Sander M. Bohté; H. Steven Scholte (J. Cogn. Neurosci., 2022)

How to compete with robots by assessing job automation risks and resilient alternatives. - Antonio Paolillo; Fabrizio Colella; Nicola Nosengo; Fabrizio Schiano; William J. Stewart 002; Davide Zambrano; Isabelle Chappuis; Rafael Lalive; Dario Floreano (Sci. Robotics, 2022)

DeepSportradar-v2: A Multi-Sport Computer Vision Dataset for Sport Understandings. - Maxime Istasse; Vladimir Somers; Pratheeban Elancheliyan; Jaydeep De; Davide Zambrano (MMSports@MM, 2023)

VIPriors 3: Visual Inductive Priors for Data-Efficient Deep Learning Challenges. - Robert-Jan Bruintjes; Attila Lengyel 001; Marcos Baptista-Ríos; Osman Semih Kayhan; Davide Zambrano; Nergis Tomen; Jan van Gemert (CoRR, 2023)

VIPriors 4: Visual Inductive Priors for Data-Efficient Deep Learning Challenges. - Robert-Jan Bruintjes; Attila Lengyel 001; Marcos Baptista-Ríos; Osman Semih Kayhan; Davide Zambrano; Nergis Tomen; Jan van Gemert (CoRR, 2024)

Data-Efficient Challenges in Visual Inductive Priors: A Retrospective. - Robert-Jan Bruintjes; Attila Lengyel 001; Osman Semih Kayhan; Davide Zambrano; Nergis Tömen; Hadi Jamali Rad; Jan van Gemert (CoRR, 2025)