Stefano Recanatesi

According to our database, Stefano Recanatesi authored at least 12 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Learning to Embed Distributions via Maximum Kernel Entropy.

Oleksii Kachaiev, Stefano Recanatesi

CoRR, 2024

2023

A simple connection from loss flatness to compressed representations in neural networks.

Shirui Chen, Stefano Recanatesi, Eric Shea-Brown

CoRR, 2023

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., November, 2022

A scale-dependent measure of system dimensionality.

Stefano Recanatesi, Serena Bradde, Vijay Balasubramanian, Nicholas A. Steinmetz, Eric Shea-Brown

Patterns, 2022

Single Circuit in V1 Capable of Switching Contexts During Movement Using an Inhibitory Population as a Switch.

Doris Voina, Stefano Recanatesi, Brian Hu, Eric Shea-Brown, Stefan Mihalas

Neural Comput., 2022

Untangling network information flow.

Stefano Recanatesi

Nat. Comput. Sci., 2022

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

2021

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

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

Dimensionality compression and expansion in Deep Neural Networks.

Stefano Recanatesi, Matthew Farrell, Madhu Advani, Timothy Moore, Guillaume Lajoie, Eric Shea-Brown

CoRR, 2019

2017

Memory States and Transitions between Them in Attractor Neural Networks.

Stefano Recanatesi, Mikhail Katkov, Misha Tsodyks

Neural Comput., 2017

2015

Neural Network Model of Memory Retrieval.

Stefano Recanatesi, Mikhail Katkov, Sandro Romani, Misha Tsodyks

Frontiers Comput. Neurosci., 2015