Stefano Recanatesi

15 papers A* 1Journal 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
A simple connection from loss flatness to compressed neural representations.
Trans. Mach. Learn. Res.
Shirui Chen, Stefano Recanatesi, Eric Todd Shea-Brown
2024 J jnl
Identifying the impact of local connectivity patterns on dynamics in excitatory-inhibitory networks.
CoRR
Yuxiu Shao, David Dahmen, Stefano Recanatesi, Eric Shea-Brown, Srdjan Ostojic
2024 A* conf
Learning to Embed Distributions via Maximum Kernel Entropy.
NeurIPS
Oleksii Kachaiev, Stefano Recanatesi
2024 J jnl
Learning to Embed Distributions via Maximum Kernel Entropy.
CoRR
Oleksii Kachaiev, Stefano Recanatesi
2023 J jnl
A simple connection from loss flatness to compressed representations in neural networks.
CoRR
Shirui Chen, Stefano Recanatesi, Eric Shea-Brown
2022 J jnl
A scale-dependent measure of system dimensionality.
Patterns
Stefano Recanatesi, Serena Bradde, Vijay Balasubramanian, Nicholas A. Steinmetz, Eric Shea-Brown
2022 J jnl
Author Correction: Gradient-based learning drives robust representations in recurrent neural networks by balancing compression and expansion.
Nat. Mac. Intell.
Matthew Farrell, Stefano Recanatesi, Timothy Moore, Guillaume Lajoie, Eric Shea-Brown
2022 J jnl
Gradient-based learning drives robust representations in recurrent neural networks by balancing compression and expansion.
Nat. Mach. Intell.
Matthew Farrell, Stefano Recanatesi, Timothy Moore, Guillaume Lajoie, Eric Shea-Brown
2022 J jnl
Single Circuit in V1 Capable of Switching Contexts During Movement Using an Inhibitory Population as a Switch.
Neural Comput.
Doris Voina, Stefano Recanatesi, Brian Hu, Eric Shea-Brown, Stefan Mihalas
2022 J jnl
Untangling network information flow.
Nat. Comput. Sci.
Stefano Recanatesi
2021 J jnl
Autoencoder networks extract latent variables and encode these variables in their connectomes.
Neural Networks
Matthew Farrell, Stefano Recanatesi, R. Clay Reid, Stefan Mihalas, Eric Shea-Brown
2019 J jnl
Dimensionality compression and expansion in Deep Neural Networks.
CoRR
Stefano Recanatesi, Matthew Farrell, Madhu Advani, Timothy Moore, Guillaume Lajoie, Eric Shea-Brown
2019 J jnl
Dimensionality in recurrent spiking networks: Global trends in activity and local origins in connectivity.
PLoS Comput. Biol.
Stefano Recanatesi, Gabriel Koch Ocker, Michael A. Buice, Eric Shea-Brown
2017 J jnl
Memory States and Transitions between Them in Attractor Neural Networks.
Neural Comput.
Stefano Recanatesi, Mikhail Katkov, Misha Tsodyks
2015 J jnl
Neural Network Model of Memory Retrieval.
Frontiers Comput. Neurosci.
Stefano Recanatesi, Mikhail Katkov, Sandro Romani, Misha Tsodyks