Eugenio Piasini

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Stefano PanzeriUniversity Medical Center Hamburg-Eppendorf (UKE), and Istituto Italiano di TecnologiaVerified email at uke.de
Christopher HarveyHarvard Medical SchoolVerified email at hms.harvard.edu
Caroline RunyanUniversity of PittsburghVerified email at pitt.edu
Tommaso FellinIstituto Italiano di TecnologiaVerified email at iit.it
Vijay BalasubramanianUniversity of PennsylvaniaVerified email at physics.upenn.edu
Padraig GleesonDepartment of Neuroscience, Physiology and Pharmacology, University College LondonVerified email at ucl.ac.uk
GIUSEPPE PICAPostdoc, Istituto Italiano di TecnologiaVerified email at iit.it
Sharon CrookArizona State UniversityVerified email at asu.edu
Joshua GoldUniversity of PennsylvaniaVerified email at pennmedicine.upenn.edu
peter lathamProfessor, Gatsby Computational Neuroscience Unit, UCLVerified email at gatsby.ucl.ac.uk
Davide ZoccolanScuola Internazionale Superiore di Studi Avanzati (SISSA), Trieste, ItalyVerified email at sissa.it
Zoltan NusserKOKIVerified email at koki.hu
Alexandre FilipowiczSenior Research Scientist, Toyota Research InstituteVerified email at tri.global
Houman SafaaiHarvard UniversityVerified email at hms.harvard.edu
Christoph KayserCognitive Neuroscience, Bielefeld UniversityVerified email at uni-bielefeld.de
Mathew E. DiamondProfessor of Cognitive Neuroscience, International School for Advanced StudiesVerified email at sissa.it
Hans Op de BeeckProfessor of Brain & Cognition, University of Leuven (KU Leuven)Verified email at kuleuven.be
Kasper VinkenHarvard Medical SchoolVerified email at hms.harvard.edu
Manuel Molano-MazónIDIBAPSVerified email at clinic.cat
Arno OnkenUniversity of EdinburghVerified email at inf.ed.ac.uk

Eugenio Piasini

Neural Computation Lab, International School for Advanced Studies (SISSA)

Verified email at sissa.it - Homepage

Computational Neuroscience Theoretical Neuroscience


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Distinct timescales of population coding across cortex CA Runyan, E Piasini, S Panzeri, CD Harvey Nature 548 (7665), 92-96, 2017	293	2017
Cracking the neural code for sensory perception by combining statistics, intervention, and behavior S Panzeri, CD Harvey, E Piasini, PE Latham, T Fellin Neuron 93 (3), 491-507, 2017	222	2017
Network structure within the cerebellar input layer enables lossless sparse encoding G Billings, E Piasini, A Lőrincz, Z Nusser, RA Silver Neuron 83 (4), 960-974, 2014	130	2014
LEMS: a language for expressing complex biological models in concise and hierarchical form and its use in underpinning NeuroML 2 RC Cannon, P Gleeson, S Crook, G Ganapathy, B Marin, E Piasini, ... Frontiers in neuroinformatics 8, 79, 2014	110	2014
Open source brain: a collaborative resource for visualizing, analyzing, simulating, and developing standardized models of neurons and circuits P Gleeson, M Cantarelli, B Marin, A Quintana, M Earnshaw, S Sadeh, ... Neuron 103 (3), 395-411. e5, 2019	71	2019
Quantifying how much sensory information in a neural code is relevant for behavior G Pica, E Piasini, H Safaai, CA Runyan, ME Diamond, T Fellin, C Kayser, ... Neural Information Processing Systems 30 (NIPS 2017), 2017	35	2017
Synthesizing realistic neural population activity patterns using generative adversarial networks M Molano-Mazon, A Onken, E Piasini, S Panzeri 6th International Conference on Learning Representations, ICLR 2018, 2018	34	2018
Invariant components of synergy, redundancy, and unique information among three variables G Pica, E Piasini, D Chicharro, S Panzeri Entropy 19 (9), 451, 2017	30	2017
The Open Source Brain Initiative: enabling collaborative modelling in computational neuroscience P Gleeson, E Piasini, S Crook, R Cannon, V Steuber, D Jaeger, S Solinas, ... BMC Neuroscience 13 (Suppl 1), O7, 2012	26	2012
Information theory in neuroscience E Piasini, S Panzeri Entropy 21 (1), 62, 2019	21	2019
Temporal stability of stimulus representation increases along rodent visual cortical hierarchies E Piasini, L Soltuzu, P Muratore, R Caramellino, K Vinken, H Op de Beeck, ... Nature communications 12 (1), 4448, 2021	19*	2021
The comparable strategic flexibility of model-free and model-based learning ALS Filipowicz, J Levine, E Piasini, G Tavoni, JW Kable, JI Gold bioRxiv, 2019.12. 28.879965, 2020	9*	2020
Distributed processing for action control by prelimbic circuits targeting anterior-posterior dorsal striatal subregions K Choi, E Piasini, L Cifuentes-Vargas, E Díaz-Hernández, NT Henderson, ... bioRxiv, 2021.12. 01.469698, 2021	5	2021
Cortical efficient coding dynamics shape behavioral performance CF Angeloni, W Mlynarski, E Piasini, AM Williams, KC Wood, L Garami, ... BioRxiv, 455845, 2021	5	2021
Prune and distill: similar reformatting of image information along rat visual cortex and deep neural networks P Muratore, S Tafazoli, E Piasini, A Laio, D Zoccolan Advances in Neural Information Processing Systems 35, 30206-30218, 2022	4	2022
Effect of geometric complexity on intuitive model selection E Piasini, V Balasubramanian, JI Gold International Conference on Machine Learning, Optimization, and Data Science …, 2021	3	2021
Embo: a Python package for empirical data analysis using the Information Bottleneck E Piasini, ALS Filipowicz, J Levine, JI Gold Journal of open research software 9 (1), 2021	3	2021
Advanced 3D visualisation of detailed neuronal models using the Open Source Brain repository and interaction with other neuroinformatics resources P Gleeson, M Cantarelli, E Piasini, RA Silver BMC neuroscience 14, 1-2, 2013	3	2013
Time as a supervisor: temporal regularity and auditory object learning RW DiTullio, C Parthiban, E Piasini, P Chaudhari, V Balasubramanian, ... Frontiers in Computational Neuroscience 17, 1150300, 2023	2	2023
How Occam’s razor guides human decision-making E Piasini, S Liu, P Chaudhari, V Balasubramanian, JI Gold bioRxiv, 2023.01. 10.523479, 2023	2	2023

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