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2020 – today
- 2024
[i3]Oleksii Kachaiev, Stefano Recanatesi:
Learning to Embed Distributions via Maximum Kernel Entropy. CoRR abs/2408.00549 (2024)- 2023
- [i2]Shirui Chen, Stefano Recanatesi
, Eric Shea-Brown:
A simple connection from loss flatness to compressed representations in neural networks. CoRR abs/2310.01770 (2023) - 2022
- [j9]Matthew Farrell, Stefano Recanatesi, Timothy Moore, Guillaume Lajoie, Eric Shea-Brown:
Gradient-based learning drives robust representations in recurrent neural networks by balancing compression and expansion. Nat. Mach. Intell. 4(6): 564-573 (2022) - [j8]Matthew Farrell, Stefano Recanatesi, Timothy Moore, Guillaume Lajoie, Eric Shea-Brown:
Author Correction: Gradient-based learning drives robust representations in recurrent neural networks by balancing compression and expansion. Nat. Mac. Intell. 4(11): 1053 (2022) - [j7]Stefano Recanatesi:
Untangling network information flow. Nat. Comput. Sci. 2(8): 475-476 (2022) - [j6]Doris Voina, Stefano Recanatesi, Brian Hu, Eric Shea-Brown, Stefan Mihalas:
Single Circuit in V1 Capable of Switching Contexts During Movement Using an Inhibitory Population as a Switch. Neural Comput. 34(3): 541-594 (2022) - [j5]Stefano Recanatesi, Serena Bradde, Vijay Balasubramanian, Nicholas A. Steinmetz, Eric Shea-Brown:
A scale-dependent measure of system dimensionality. Patterns 3(8): 100555 (2022) - 2021
- [j4]Matthew Farrell, Stefano Recanatesi, R. Clay Reid, Stefan Mihalas, Eric Shea-Brown:
Autoencoder networks extract latent variables and encode these variables in their connectomes. Neural Networks 141: 330-343 (2021)
2010 – 2019
- 2019
- [j3]Stefano Recanatesi, Gabriel Koch Ocker, Michael A. Buice, Eric Shea-Brown:
Dimensionality in recurrent spiking networks: Global trends in activity and local origins in connectivity. PLoS Comput. Biol. 15(7) (2019) - [i1]Stefano Recanatesi, Matthew Farrell, Madhu Advani, Timothy Moore, Guillaume Lajoie, Eric Shea-Brown:
Dimensionality compression and expansion in Deep Neural Networks. CoRR abs/1906.00443 (2019) - 2017
- [j2]Stefano Recanatesi, Mikhail Katkov, Misha Tsodyks:
Memory States and Transitions between Them in Attractor Neural Networks. Neural Comput. 29(10): 2684-2711 (2017) - 2015
- [j1]Stefano Recanatesi, Mikhail Katkov, Sandro Romani, Misha Tsodyks:
Neural Network Model of Memory Retrieval. Frontiers Comput. Neurosci. 9: 149 (2015)
Coauthor Index
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