Discrete attractor dynamics underlies persistent activity in the frontal cortex
By Hidehiko K. Inagaki, Lorenzo Fontolan, S. Romani, Karel Svoboda. Nature, 2019
295 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/8eccd32e41f765249f4d186d64f430939c2c790d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cellular and Molecular Neuroscience
- Mehrdad Jazayeri
- Stanislas Dehaene
- David Sussillo
- Jean-Pierre Changeux
- Saurabh Vyas
- Pieter R. Roelfsema
- Stefano Fusi
- George A. Mashour
In Cognitive Neuroscience
- Xiao-Jing Wang
- Stanislas Dehaene
- Jean-Pierre Changeux
- Mehrdad Jazayeri
- Pieter R. Roelfsema
- Krishna V. Shenoy
- Saurabh Vyas
- George A. Mashour
In Statistical and Nonlinear Physics
Citations in the corpus
- Conscious Processing and the Global Neuronal Workspace Hypothesis (2020, background): “The interactions between these brain structures enable distinct attractor states for the maintenance of different items in memory (Inagaki et al., 2019).”
- Computation Through Neural Population Dynamics (2020, background): “Finally, Inagaki et al. (2019) found that delay period neural activity in mouse anterior lateral motor cortex moves toward stable fixed points that correspond to movement directions.”
- Low-dimensional dynamics for working memory and time encoding (2020, result): “This is consistent with recent experiments on rodents (21, 22) that show that neural trajectories are low-dimensional, with a time-varying component that is dominated by ramping activity (46, 48).”