Neural Network Model of Memory Retrieval. - Stefano Recanatesi; Mikhail Katkov; Sandro Romani; Misha Tsodyks (Frontiers Comput. Neurosci., 2015)

Memory States and Transitions between Them in Attractor Neural Networks. - Stefano Recanatesi; Mikhail Katkov; Misha Tsodyks (Neural Comput., 2017)

Dimensionality compression and expansion in Deep Neural Networks. - Stefano Recanatesi; Matthew Farrell; Madhu Advani; Timothy Moore; Guillaume Lajoie; Eric Shea-Brown (CoRR, 2019)

Dimensionality in recurrent spiking networks: Global trends in activity and local origins in connectivity. - Stefano Recanatesi; Gabriel Koch Ocker; Michael A. Buice; Eric Shea-Brown (PLoS Comput. Biol., 2019)

Autoencoder networks extract latent variables and encode these variables in their connectomes. - Matthew Farrell; Stefano Recanatesi; R. Clay Reid; Stefan Mihalas; Eric Shea-Brown (Neural Networks, 2021)

Gradient-based learning drives robust representations in recurrent neural networks by balancing compression and expansion. - Matthew Farrell; Stefano Recanatesi; Timothy Moore; Guillaume Lajoie; Eric Shea-Brown (Nat. Mach. Intell., 2022)

Untangling network information flow. - Stefano Recanatesi (Nat. Comput. Sci., 2022)

Single Circuit in V1 Capable of Switching Contexts During Movement Using an Inhibitory Population as a Switch. - Doris Voina; Stefano Recanatesi; Brian Hu 001; Eric Shea-Brown; Stefan Mihalas (Neural Comput., 2022)

A scale-dependent measure of system dimensionality. - Stefano Recanatesi; Serena Bradde; Vijay Balasubramanian; Nicholas A. Steinmetz; Eric Shea-Brown (Patterns, 2022)

Author Correction: Gradient-based learning drives robust representations in recurrent neural networks by balancing compression and expansion. - Matthew Farrell; Stefano Recanatesi; Timothy Moore; Guillaume Lajoie; Eric Shea-Brown (Nat. Mac. Intell., 2022)

A simple connection from loss flatness to compressed representations in neural networks. - Shirui Chen; Stefano Recanatesi; Eric Shea-Brown (CoRR, 2023)

Learning to Embed Distributions via Maximum Kernel Entropy. - Oleksii Kachaiev; Stefano Recanatesi (NeurIPS, 2024)

Identifying the impact of local connectivity patterns on dynamics in excitatory-inhibitory networks. - Yuxiu Shao; David Dahmen; Stefano Recanatesi; Eric Shea-Brown; Srdjan Ostojic (CoRR, 2024)