Piasini, Eugenio

Piasini, Eugenio  

Risultati 1 - 20 di 21 (tempo di esecuzione: 0.011 secondi).
Titolo Data di pubblicazione Autore(i) File
Advanced 3D visualisation of detailed neuronal models using the Open Source Brain repository and interaction with other neuroinformatics resources 1-gen-2013 Piasini, E. +
Cracking the Neural Code for Sensory Perception by Combining Statistics, Intervention, and Behavior 1-gen-2017 Panzeri, S.Piasini, E.Fellin, T. +
cvglmnetR 1-gen-2020 Piasini, Eugenio
Distinct timescales of population coding across cortex 1-gen-2017 Piasini, E.Panzeri, S. +
Effect of Geometric Complexity on Intuitive Model Selection 1-gen-2022 Piasini, E.Balasubramanian, V. +
embo - Empirical Bottleneck 1-gen-2021 Piasini, Eugenio +
Embo: a Python package for empirical data analysis using the Information Bottleneck 1-gen-2021 Piasini, E. +
Information theory in neuroscience 1-gen-2019 Piasini, E.Panzeri, S.
Intersection information and SubPID (Subatomic Partial Information Decomposition) 1-gen-2017 Piasini, Eugenio +
Invariant components of synergy, redundancy, and unique information among three variables 1-gen-2017 Piasini, E.Panzeri, S. +
LEMS: A language for expressing complex biological models in concise and hierarchical form and its use in underpinning NeuroML 2 1-gen-2014 Piasini, E. +
metex - Maximum Entopy TEXtures 1-gen-2021 Piasini Eugenio
Network structure and function in the input stage of the cerebellar cortex 1-mar-2015 Piasini, Eugenio
Network Structure within the Cerebellar Input Layer Enables Lossless Sparse Encoding 1-gen-2014 Piasini, E. +
The Open Source Brain Initiative: enabling collaborative modelling in computational neuroscience 1-gen-2012 Piasini, E. +
Open Source Brain: A Collaborative Resource for Visualizing, Analyzing, Simulating, and Developing Standardized Models of Neurons and Circuits 1-gen-2019 Piasini, E. +
Pymuvr 1-gen-2016 Piasini Eugenio
Quantifying how much sensory information in a neural code is relevant for behavior 1-gen-2017 Piasini ESafaai HDiamond MFellin TPanzeri S +
Rat sensitivity to multipoint statistics is predicted by efficient coding of natural scenes 1-gen-2021 Caramellino, R.Piasini, E.Buccellato, A.Carboncino, A.Balasubramanian, V.Zoccolan, D.
Synthesizing realistic neural population activity patterns using generative adversarial networks 1-gen-2018 Onken, A.Piasini, E.Panzeri, S. +