Multiple bumps can enhance robustness to noise in continuous attractor networks
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Multiple bumps can enhance robustness to noise in continuous attractor networks
Authors
Keywords
-
Journal
PLoS Computational Biology
Volume 18, Issue 10, Pages e1010547
Publisher
Public Library of Science (PLoS)
Online
2022-10-11
DOI
10.1371/journal.pcbi.1010547
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Toroidal topology of population activity in grid cells
- (2022) Richard J. Gardner et al. NATURE
- Correlation structure of grid cells is preserved during sleep
- (2019) Richard J. Gardner et al. NATURE NEUROSCIENCE
- A Flexible Model of Working Memory
- (2019) Flora Bouchacourt et al. NEURON
- Stability of working memory in continuous attractor networks under the control of short-term plasticity
- (2019) Alexander Seeholzer et al. PLoS Computational Biology
- Velocity coupling of grid cell modules enables stable embedding of a low dimensional variable in a high dimensional neural attractor
- (2019) Noga Mosheiff et al. eLife
- A geometric attractor mechanism for self-organization of entorhinal grid modules
- (2019) Louis Kang et al. eLife
- Extreme value statistics of correlated random variables: A pedagogical review
- (2019) Satya N. Majumdar et al. PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS
- Replay as wavefronts and theta sequences as bump oscillations in a grid cell attractor network
- (2019) Louis Kang et al. eLife
- Synaptic efficacy shapes resource limitations in working memory
- (2018) Nikhil Krishnan et al. JOURNAL OF COMPUTATIONAL NEUROSCIENCE
- Inferring circuit mechanisms from sparse neural recording and global perturbation in grid cells
- (2018) John Widloski et al. eLife
- A Map-like Micro-Organization of Grid Cells in the Medial Entorhinal Cortex
- (2018) Yi Gu et al. CELL
- A neural circuit architecture for angular integration in Drosophila
- (2017) Jonathan Green et al. NATURE
- Ring attractor dynamics in theDrosophilacentral brain
- (2017) Sung Soo Kim et al. SCIENCE
- Angular velocity integration in a fly heading circuit
- (2017) Daniel Turner-Evans et al. eLife
- Mutual Information, Fisher Information, and Efficient Coding
- (2016) Xue-Xin Wei et al. NEURAL COMPUTATION
- Neural circuit basis of visuo-spatial working memory precision: a computational and behavioral study
- (2015) Rita Almeida et al. JOURNAL OF NEUROPHYSIOLOGY
- Neural dynamics for landmark orientation and angular path integration
- (2015) Johannes D. Seelig et al. NATURE
- Subdiffusive Dynamics of Bump Attractors: Mechanisms and Functional Roles
- (2015) Yang Qi et al. NEURAL COMPUTATION
- Environmental Boundaries as an Error Correction Mechanism for Grid Cells
- (2015) Kiah Hardcastle et al. NEURON
- A principle of economy predicts the functional architecture of grid cells
- (2015) Xue-Xin Wei et al. eLife
- Connecting multiple spatial scales to decode the population activity of grid cells
- (2015) M. Stemmler et al. Science Advances
- A Hybrid Oscillatory Interference/Continuous Attractor Network Model of Grid Cell Firing
- (2014) D. Bush et al. JOURNAL OF NEUROSCIENCE
- Bump attractor dynamics in prefrontal cortex explains behavioral precision in spatial working memory
- (2014) Klaus Wimmer et al. NATURE NEUROSCIENCE
- Specific evidence of low-dimensional continuous attractor dynamics in grid cells
- (2013) KiJung Yoon et al. NATURE NEUROSCIENCE
- How environment geometry affects grid cell symmetry and what we can learn from it
- (2013) J. Krupic et al. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
- Wandering Bumps in Stochastic Neural Fields
- (2013) Zachary P. Kilpatrick et al. SIAM JOURNAL ON APPLIED DYNAMICAL SYSTEMS
- From Distributed Resources to Limited Slots in Multiple-Item Working Memory: A Spiking Network Model with Normalization
- (2012) Z. Wei et al. JOURNAL OF NEUROSCIENCE
- The entorhinal grid map is discretized
- (2012) Hanne Stensola et al. NATURE
- Optimal Population Codes for Space: Grid Cells Outperform Place Cells
- (2012) Alexander Mathis et al. NEURAL COMPUTATION
- Fundamental limits on persistent activity in networks of noisy neurons
- (2012) Y. Burak et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Phase precession and variable spatial scaling in a periodic attractor map model of medial entorhinal grid cells with realistic after-spike dynamics
- (2011) Zaneta Navratilova et al. HIPPOCAMPUS
- Grid cells generate an analog error-correcting code for singularly precise neural computation
- (2011) Sameet Sreenivasan et al. NATURE NEUROSCIENCE
- Short-Term Facilitation may Stabilize Parametric Working Memory Trace
- (2011) Vladimir Itskov et al. Frontiers in Computational Neuroscience
- A Moving Bump in a Continuous Manifold: A Comprehensive Study of the Tracking Dynamics of Continuous Attractor Neural Networks
- (2009) C. C. Alan Fung et al. NEURAL COMPUTATION
- Mechanism for top-down control of working memory capacity
- (2009) F. Edin et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Accurate Path Integration in Continuous Attractor Network Models of Grid Cells
- (2009) Yoram Burak et al. PLoS Computational Biology
- What Grid Cells Convey about Rat Location
- (2008) I. R. Fiete et al. JOURNAL OF NEUROSCIENCE
- Representing Where along with What Information in a Model of a Cortical Patch
- (2008) Yasser Roudi et al. PLoS Computational Biology
- Phase Precession Through Synaptic Facilitation
- (2007) Kay Thurley et al. NEURAL COMPUTATION
- Dynamics and Computation of Continuous Attractors
- (2007) Si Wu et al. NEURAL COMPUTATION
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started