Stefano Recanatesi
Title
Cited by
Cited by
Year
Neural network model of memory retrieval
S Recanatesi, M Katkov, S Romani, M Tsodyks
Frontiers in computational neuroscience 9, 149, 2015
322015
Dimensionality in recurrent spiking networks: Global trends in activity and local origins in connectivity
S Recanatesi, GK Ocker, MA Buice, E Shea-Brown
PLoS computational biology 15 (7), e1006446, 2019
252019
Dimensionality compression and expansion in deep neural networks
S Recanatesi, M Farrell, M Advani, T Moore, G Lajoie, E Shea-Brown
arXiv preprint arXiv:1906.00443, 2019
192019
Recurrent neural networks learn robust representations by dynamically balancing compression and expansion
M Farrell, S Recanatesi, T Moore, G Lajoie, E Shea-Brown
bioRxiv, 564476, 2019
14*2019
Predictive learning as a network mechanism for extracting low-dimensional latent space representations
S Recanatesi, M Farrell, G Lajoie, S Deneve, M Rigotti, E Shea-Brown
Nature communications 12 (1), 1-13, 2021
13*2021
Emergence of hierarchical organization in memory for random material
M Naim, M Katkov, S Recanatesi, M Tsodyks
Scientific reports 9 (1), 1-10, 2019
62019
Memory states and transitions between them in attractor neural networks
S Recanatesi, M Katkov, M Tsodyks
Neural computation 29 (10), 2684-2711, 2017
62017
Metastable attractors explain the variable timing of stable behavioral action sequences
S Recanatesi, U Pereira, M Murakami, Z Mainen, L Mazzucato
arXiv preprint arXiv:2001.09600, 2020
52020
Recurrent neural networks learn robust representations by dynamically balancing compression and expansion. bioRxiv
M Farrell, S Recanatesi, T Moore, G Lajoie, E Shea-Brown
December 3, 564476, 2019
52019
Strong and localized coupling controls dimensionality of neural activity across brain areas
D Dahmen, S Recanatesi, X Jia, GK Ocker, L Campagnola, T Jarsky, ...
bioRxiv, 2020.11. 02.365072, 2021
2*2021
Autoencoder networks extract latent variables and encode these variables in their connectomes
M Farrell, S Recanatesi, RC Reid, S Mihalas, E Shea-Brown
Neural Networks 141, 330-343, 2021
12021
A scale-dependent measure of system dimensionality
S Recanatesi, S Bradde, V Balasubramanian, NA Steinmetz, ...
bioRxiv, 2020
2020
Single circuit in V1 capable of switching contexts during movement using VIP population as a switch
D Voina, S Recanatesi, B Hu, E Shea-Brown, S Mihalas
bioRxiv, 2020
2020
B and K physics observables in Split-family SUSY
S RECANATESI
2012
Ricerca di supersimmetria con particelle pesanti, cariche, a lunga vita media
S Recanatesi
2010
The hippocampus as a predictive recurrent neural network
S Recanatesi, G Wayne, M Rigotti
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Articles 1–16