Lorenzo Posani
Cited by
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Differential Relation between Neuronal and Behavioral Discrimination during Hippocampal Memory Encoding
M Allegra, L Posani, R Gómez-Ocádiz, C Schmidt-Hieber
Neuron 108 (6), 1103-1112. e6, 2020
Statistical physics and representations in real and artificial neural networks
S Cocco, R Monasson, L Posani, S Rosay, J Tubiana
Physica A: Statistical Mechanics and its Applications 504, 45-76, 2018
Functional connectivity models for decoding of spatial representations from hippocampal CA1 recordings
L Posani, S Cocco, K Ježek, R Monasson
Journal of Computational Neuroscience 43 (1), 17-33, 2017
Integration and multiplexing of positional and contextual information by the hippocampal network
L Posani, S Cocco, R Monasson
PLoS computational biology 14 (8), e1006320, 2018
Functional networks from inverse modeling of neural population activity
S Cocco, R Monasson, L Posani, G Tavoni
Current Opinion in Systems Biology 3, 103-110, 2017
A synaptic signal for novelty processing in the hippocampus
R Gómez-Ocádiz, M Trippa, CL Zhang, L Posani, S Cocco, R Monasson, ...
Nature Communications 13 (1), 1-15, 2022
Adolescent thalamic inhibition leads to long-lasting impairments in prefrontal cortex function
LJ Benoit, ES Holt, L Posani, S Fusi, AZ Harris, S Canetta, C Kellendonk
Nature Neuroscience, 1-12, 2022
An alternative information plan
M Monti, S Rasmussen, M Moschettini, L Posani
Santa Fe Institute working paper, 2017
The geometry of hippocampal CA2 representations enables abstract coding of social familiarity and identity
L Boyle*, L Posani*, S Irfan, SA Siegelbaum, S Fusi
bioRxiv, 2022
The carbon footprint of distributed cloud storage
L Posani, A Paccoia, M Moschettini
arXiv preprint arXiv:1803.06973, 2018
Position is coherently represented during flickering instabilities of place-cell cognitive maps in the hippocampus
L Posani, K Jezek, S Cocco, R Monasson
26th Annual Computational Neuroscience Meeting (CNS* 2017), 2017
Cubbit: a distributed, crowd-sourced cloud storage service
L Posani, M Moschettini, A Paccoia
Cloud Services for Synchronisation and Sharing (CS3 2018), 2018
Inference and modeling of biological networks: a statistical-physics approach to neural attractors and protein fitness landscapes
L Posani
Université Paris sciences et lettres, 2018
Pairwise models inferred from hippocampal data generate states typical of low‐dimensional attractors
L Posani, S Cocco, R Monasson
28th Annual Computational Neuroscience Meeting: CNS*2019, P216, 2019
Open Data Science Mesh: friction-free collaboration for researchers bridging High-Energy Physics and European Open Science Cloud
V Moscicki, J., Burger, A., Antos, D., Orellana, F., Kennedy, G., Aben, G ...
24th International Conference on Computing in High Energy & Nuclear Physics, 2019
Is “zero-knowledge” privacy achievable in the distributed cloud? An in-depth analysis of encryption architecture of Cubbit’s sync&share service.
M Moschettini, A Paccoia, L Posani
Cloud Services for Synchronisation and Sharing (CS3 2019), 2019
Pairwise graphical model for brain-state identification: application to decoding of spatial representations from hippocampal CA1 and CA3 recordings
L Posani, S Cocco, K Jezek, R Monasson
bioRxiv, 073759, 2016
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