Sfoglia per Autore Piasini, Eugenio
The Open Source Brain Initiative: enabling collaborative modelling in computational neuroscience
2012-01-01 Gleeson, P.; Piasini, E.; Crook, S.; Cannon, R.; Steuber, V.; Jaeger, D.; Solinas, S.; D’Angelo, E.; Silver, R. A.
Advanced 3D visualisation of detailed neuronal models using the Open Source Brain repository and interaction with other neuroinformatics resources
2013-01-01 Gleeson, P.; Cantarelli, M.; Piasini, E.; Silver, R. A.
Network Structure within the Cerebellar Input Layer Enables Lossless Sparse Encoding
2014-01-01 Billings, G.; Piasini, E.; Lorincz, A.; Nusser, Z.; Silver, R. A.
LEMS: A language for expressing complex biological models in concise and hierarchical form and its use in underpinning NeuroML 2
2014-01-01 Cannon, R. C.; Gleeson, P.; Crook, S.; Ganapathy, G.; Marin, B.; Piasini, E.; Silver, R. A.
Network structure and function in the input stage of the cerebellar cortex
2015-03-01 Piasini, Eugenio
Pymuvr
2016-01-01 Piasini, Eugenio
Intersection information and SubPID (Subatomic Partial Information Decomposition)
2017-01-01 Pica, Giuseppe; Piasini, Eugenio
Invariant components of synergy, redundancy, and unique information among three variables
2017-01-01 Pica, G.; Piasini, E.; Chicharro, D.; Panzeri, S.
Cracking the Neural Code for Sensory Perception by Combining Statistics, Intervention, and Behavior
2017-01-01 Panzeri, S.; Harvey, C. D.; Piasini, E.; Latham, P. E.; Fellin, T.
Quantifying how much sensory information in a neural code is relevant for behavior
2017-01-01 Pica, G; Piasini, E; Safaai, H; Runyan, C; Harvey, C; Diamond, M; Kayser, C; Fellin, T; Panzeri, S
Distinct timescales of population coding across cortex
2017-01-01 Runyan, C. A.; Piasini, E.; Panzeri, S.; Harvey, C. D.
Synthesizing realistic neural population activity patterns using generative adversarial networks
2018-01-01 Molano-Mazon, M.; Onken, A.; Piasini, E.; Panzeri, S.
Information theory in neuroscience
2019-01-01 Piasini, E.; Panzeri, S.
Open Source Brain: A Collaborative Resource for Visualizing, Analyzing, Simulating, and Developing Standardized Models of Neurons and Circuits
2019-01-01 Gleeson, P.; Cantarelli, M.; Marin, B.; Quintana, A.; Earnshaw, M.; Sadeh, S.; Piasini, E.; Birgiolas, J.; Cannon, R. C.; Cayco-Gajic, N. A.; Crook, S.; Davison, A. P.; Dura-Bernal, S.; Ecker, A.; Hines, M. L.; Idili, G.; Lanore, F.; Larson, S. D.; Lytton, W. W.; Majumdar, A.; Mcdougal, R. A.; Sivagnanam, S.; Solinas, S.; Stanislovas, R.; van Albada, S. J.; van Geit, W.; Silver, R. A.
cvglmnetR
2020-01-01 Piasini, Eugenio
metex - Maximum Entopy TEXtures
2021-01-01 Piasini, Eugenio
embo - Empirical Bottleneck
2021-01-01 Piasini, Eugenio; Filipowicz, Alexandre; Levine, Jonathan
Embo: a Python package for empirical data analysis using the Information Bottleneck
2021-01-01 Piasini, E.; Filipowicz, A. L. S.; Levine, J.; Gold, J. I.
Temporal stability of stimulus representation increases along rodent visual cortical hierarchies
2021-01-01 Piasini, E.; Soltuzu, L.; Muratore, P.; Caramellino, R.; Vinken, K.; Op de Beeck, H.; Balasubramanian, V.; Zoccolan, D.
Rat sensitivity to multipoint statistics is predicted by efficient coding of natural scenes
2021-01-01 Caramellino, R.; Piasini, E.; Buccellato, A.; Carboncino, A.; Balasubramanian, V.; Zoccolan, D.
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