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Lorenzo Posani
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Year
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
41*2020
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
272017
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
262018
Tuned geometries of hippocampal representations meet the computational demands of social memory
LM Boyle*, L Posani*, S Irfan, SA Siegelbaum, S Fusi
Neuron, 2024
25*2024
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
242017
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), 4122, 2022
23*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 25 (6), 714-725, 2022
232022
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
232018
The carbon footprint of distributed cloud storage
L Posani, A Paccoia, M Moschettini
arXiv preprint arXiv:1803.06973, 2018
102018
An alternative information plan
M Monti, S Rasmussen, M Moschettini, L Posani
Santa Fe Institute working paper, 2017
52017
Minimal epistatic networks from integrated sequence and mutational protein data.
S Cocco, R Monasson, L Posani
bioRxiv, 2023.09. 25.559251, 2023
32023
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
3*2017
Infer global, predict local: Quantity-relevance trade-off in protein fitness predictions from sequence data
L Posani, F Rizzato, R Monasson, S Cocco
PLOS Computational Biology 19 (10), e1011521, 2023
2*2023
Cubbit: a distributed, crowd-sourced cloud storage service
L Posani, M Moschettini, A Paccoia
Cloud Services for Synchronisation and Sharing (CS3 2018), 2018
22018
The representational geometry of emotional states in basolateral amygdala
PK O'Neill*, L Posani*, J Meszaros, P Warren, CE Schoonover, AJP Fink, ...
bioRxiv, 2023.09. 23.558668, 2023
12023
Inference and modeling of biological networks: a statistical-physics approach to neural attractors and protein fitness landscapes
L Posani
Paris Sciences et Lettres (ComUE), 2018
12018
Code Morphing Preserves Prefrontal Representations in a Thalamocortical Model of Schizophrenia
J Taliaferro, J Greenwald, L Posani, S Lim, J McGowan, E Pekarskaya, ...
NEUROPSYCHOPHARMACOLOGY 48, 398-398, 2023
2023
Familiarity and Identity Representations in Hippocampal Area CA2
L Boyle, L Posani, S Irfan, S Siegelbaum, S Fusi
NEUROPSYCHOPHARMACOLOGY 47 (SUPPL 1), 300-300, 2022
2022
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
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
2019
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Articles 1–20