Publications

Strong coupling and local control of dimensionality across brain areas
D. Dahmen, S. Recanatesi, M. Helias, and E. Shea-Brown Under review in Nature 2022.

Untangling network information flow S. Recanatesi Nature Computational Science, 2022.

A scale-dependent measure of system dimensionality
S. Recanatesi, S. Bradde, V. Balasubramanian, and E. Shea-Brown
Under review in Patterns, Patterns 2022.

Metastable attractors explain the variable timing of stable behavioral action sequences
S. Recanatesi, U. Pereira*, M. Murakami, Z. Mainen, and L. Mazzucato
Neuron 2022.

Path vectors: a neural code for sequential memory P. Rich and S. Recanatesi* Biorxiv, 2022.

Recurrent neural networks learn robust representations by dynamically balancing compression and expansion
M.Farrell, S. Recanatesi, G. Lajoie, and E. Shea-Brown
Nature Machine Intelligence, 2022.

Predictive learning as a network mechanism for extracting low-dimensional latent space representations
S. Recanatesi, M.Farrell,G. Lajoie, S. Deneve, M. Rigotti, and E. Shea-Brown
Nature Communications, 2021.

Autoencoder networks extract latent variables and encode these variables in their connectomes
M.Farrell, S. Recanatesi, C. Reid, S. Mihalas, and E. Shea-Brown
Accepted in Neural Networks 2021.

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, and S. Mihalas
Neural Computation, BioRxiv 2020

Dimensionality compression and expansion in deep neural networks
S. Recanatesi, M. Farrell, G. Lajoie, and E. Shea-Brown
BioRxiv, 2019

Dimensionality in recurrent spiking networks: global trends in activity and local origins in connectivity
S.Recanatesi, G.Ocker, M.Buice, and E.Shea-Brown
Plos Computational Biology, 2019.

Emergence of hierarchical organization in memory for random material
M.Naim, M.Katkov, S.Recanatesi*, and M.Tsodyks
Scientific Reports, 2019.

Memory states and transitions between them in attractor neural networks
S.Recanatesi, M.Katkov, and M.Tsodyks
Neural computation, 2017.

Neural Network Model of Memory Retrieval
S. Recanatesi, M. Katkov, S. Romani, and M. Tsodyks
Frontiers in Computational Neuroscience, 2015.