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Alessandro Ingrosso

Showing results (1-10 of 12) with videos related to

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Plos Computational Biology|December 28, 2020
Optimal learning with excitatory and inhibitory synapsesAlessandro Ingrosso
Physical Review. E|February 17, 2024
Machine learning at the mesoscale: A computation-dissipation bottleneckAlessandro Ingrosso, Emanuele Panizon
Proceedings of the National Academy of Sciences of the United States of America|September 26, 2022
Data-driven emergence of convolutional structure in neural networksAlessandro Ingrosso, Sebastian Goldt
Scientific Reports|June 11, 2016
Inference of causality in epidemics on temporal contact networksAlfredo Braunstein, Alessandro Ingrosso
Plos One|August 9, 2019
Training dynamically balanced excitatory-inhibitory networksAlessandro Ingrosso, L F Abbott
Journal of the Royal Society, Interface|April 9, 2019
Network reconstruction from infection cascadesAlfredo Braunstein, Alessandro Ingrosso, Anna Paola Muntoni
Physical Review Letters|October 3, 2015
Subdominant Dense Clusters Allow for Simple Learning and High Computational Performance in Neural Networks with Discrete SynapsesCarlo Baldassi, Alessandro Ingrosso, Carlo Lucibello, et al.
Interface Focus|November 17, 2018
From statistical inference to a differential learning rule for stochastic neural networksLuca Saglietti, Federica Gerace, Alessandro Ingrosso, et al.
Plos Computational Biology|December 5, 2022
Input correlations impede suppression of chaos and learning in balanced firing-rate networksRainer Engelken, Alessandro Ingrosso, Ramin Khajeh, et al.
Proceedings of the National Academy of Sciences of the United States of America|November 19, 2016
Unreasonable effectiveness of learning neural networks: From accessible states and robust ensembles to basic algorithmic schemesCarlo Baldassi, Christian Borgs, Jennifer T Chayes, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Plos Computational Biology|December 28, 2020
Optimal learning with excitatory and inhibitory synapsesAlessandro Ingrosso
Physical Review. E|February 17, 2024
Machine learning at the mesoscale: A computation-dissipation bottleneckAlessandro Ingrosso, Emanuele Panizon
Proceedings of the National Academy of Sciences of the United States of America|September 26, 2022
Data-driven emergence of convolutional structure in neural networksAlessandro Ingrosso, Sebastian Goldt
Scientific Reports|June 11, 2016
Inference of causality in epidemics on temporal contact networksAlfredo Braunstein, Alessandro Ingrosso
Plos One|August 9, 2019
Training dynamically balanced excitatory-inhibitory networksAlessandro Ingrosso, L F Abbott
Journal of the Royal Society, Interface|April 9, 2019
Network reconstruction from infection cascadesAlfredo Braunstein, Alessandro Ingrosso, Anna Paola Muntoni
Physical Review Letters|October 3, 2015
Subdominant Dense Clusters Allow for Simple Learning and High Computational Performance in Neural Networks with Discrete SynapsesCarlo Baldassi, Alessandro Ingrosso, Carlo Lucibello, et al.
Interface Focus|November 17, 2018
From statistical inference to a differential learning rule for stochastic neural networksLuca Saglietti, Federica Gerace, Alessandro Ingrosso, et al.
Plos Computational Biology|December 5, 2022
Input correlations impede suppression of chaos and learning in balanced firing-rate networksRainer Engelken, Alessandro Ingrosso, Ramin Khajeh, et al.
Proceedings of the National Academy of Sciences of the United States of America|November 19, 2016
Unreasonable effectiveness of learning neural networks: From accessible states and robust ensembles to basic algorithmic schemesCarlo Baldassi, Christian Borgs, Jennifer T Chayes, et al.
Pageof 2