LEMS: a language for expressing complex biological models in concise and hierarchical form and its use in underpinning NeuroML 2. - Robert C. Cannon; Padraig Gleeson; Sharon M. Crook; Gautham Ganapathy; Bóris Marin; Eugenio Piasini; R. Angus Silver (Frontiers Neuroinformatics, 2014)

Quantifying how much sensory information in a neural code is relevant for behavior. - Giuseppe Pica; Eugenio Piasini; Houman Safaai; Caroline Runyan; Christopher D. Harvey; Mathew E. Diamond; Christoph Kayser; Tommaso Fellin; Stefano Panzeri (NIPS, 2017)

Invariant Components of Synergy, Redundancy, and Unique Information among Three Variables. - Giuseppe Pica; Eugenio Piasini; Daniel Chicharro; Stefano Panzeri (Entropy, 2017)

Synthesizing realistic neural population activity patterns using Generative Adversarial Networks. - Manuel Molano-Mazon; Arno Onken; Eugenio Piasini; Stefano Panzeri (ICLR (Poster), 2018)

Information Theory in Neuroscience. - Eugenio Piasini; Stefano Panzeri (Entropy, 2019)

Effect of Geometric Complexity on Intuitive Model Selection. - Eugenio Piasini; Vijay Balasubramanian; Joshua I. Gold (LOD, 2021)

Prune and distill: similar reformatting of image information along rat visual cortex and deep neural networks. - Paolo Muratore; Sina Tafazoli; Eugenio Piasini; Alessandro Laio; Davide Zoccolan (NeurIPS, 2022)

Time as a supervisor: temporal regularity and auditory object learning. - Ronald W. Ditullio; Chetan Parthiban; Eugenio Piasini; Pratik Chaudhari; Vijay Balasubramanian; Yale E. Cohen (Frontiers Comput. Neurosci., 2023)

Synthesizing naturalistic visual textures with multiscale, nonlinear constraints using deep neural samplers. - Ludovica de Paolis; Paolo Muratore; Eugenio Piasini (DS (LB), 2024)