Evaluating State Space Discovery by Persistent Cohomology in the Spatial Representation System
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Evaluating State Space Discovery by Persistent Cohomology in the Spatial Representation System
Authors
Keywords
-
Journal
Frontiers in Computational Neuroscience
Volume 15, Issue -, Pages -
Publisher
Frontiers Media SA
Online
2021-04-08
DOI
10.3389/fncom.2021.616748
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Topological portraits of multiscale coordination dynamics
- (2020) Mengsen Zhang et al. JOURNAL OF NEUROSCIENCE METHODS
- Towards the neural population doctrine
- (2019) Shreya Saxena et al. CURRENT OPINION IN NEUROBIOLOGY
- The intrinsic attractor manifold and population dynamics of a canonical cognitive circuit across waking and sleep
- (2019) Rishidev Chaudhuri et al. NATURE NEUROSCIENCE
- A geometric attractor mechanism for self-organization of entorhinal grid modules
- (2019) Louis Kang et al. eLife
- Topological data analysis of single-trial electroencephalographic signals
- (2018) Yuan Wang et al. Annals of Applied Statistics
- The importance of forgetting: Limiting memory improves recovery of topological characteristics from neural data
- (2018) Samir Chowdhury et al. PLoS One
- Robust spatial memory maps encoded by networks with transient connections
- (2018) Andrey Babichev et al. PLoS Computational Biology
- Decoding of Neural Data Using Cohomological Feature Extraction
- (2018) Erik Rybakken et al. NEURAL COMPUTATION
- Fully integrated silicon probes for high-density recording of neural activity
- (2017) James J. Jun et al. NATURE
- Navigating the Neural Space in Search of the Neural Code
- (2017) Mehrdad Jazayeri et al. NEURON
- A Multiplexed, Heterogeneous, and Adaptive Code for Navigation in Medial Entorhinal Cortex
- (2017) Kiah Hardcastle et al. NEURON
- Grid and Nongrid Cells in Medial Entorhinal Cortex Represent Spatial Location and Environmental Features with Complementary Coding Schemes
- (2017) Geoffrey W. Diehl et al. NEURON
- Neural Manifolds for the Control of Movement
- (2017) Juan A. Gallego et al. NEURON
- An efficient coding theory for a dynamic trajectory predicts non-uniform allocation of entorhinal grid cells to modules
- (2017) Noga Mosheiff et al. PLoS Computational Biology
- What can topology tell us about the neural code?
- (2016) Carina Curto BULLETIN OF THE AMERICAN MATHEMATICAL SOCIETY
- Multiple Running Speed Signals in Medial Entorhinal Cortex
- (2016) James R. Hinman et al. NEURON
- On simplicity and complexity in the brave new world of large-scale neuroscience
- (2015) Peiran Gao et al. CURRENT OPINION IN NEUROBIOLOGY
- Shearing-induced asymmetry in entorhinal grid cells
- (2015) Tor Stensola et al. NATURE
- Grid cell symmetry is shaped by environmental geometry
- (2015) Julija Krupic et al. NATURE
- Speed cells in the medial entorhinal cortex
- (2015) Emilio Kropff et al. NATURE
- Clique topology reveals intrinsic geometric structure in neural correlations
- (2015) Chad Giusti et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- 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
- Tracing the evolution of multi-scale functional networks in a mouse model of depression using persistent brain network homology
- (2014) Arshi Khalid et al. NEUROIMAGE
- The Theta-Gamma Neural Code
- (2013) John E. Lisman et al. NEURON
- Witnessed k-Distance
- (2012) Leonidas Guibas et al. DISCRETE & COMPUTATIONAL GEOMETRY
- 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
- A Topological Paradigm for Hippocampal Spatial Map Formation Using Persistent Homology
- (2012) Y. Dabaghian et al. PLoS Computational Biology
- Persistent Cohomology and Circular Coordinates
- (2011) Vin de Silva et al. DISCRETE & COMPUTATIONAL GEOMETRY
- Geometric Inference for Probability Measures
- (2011) Frédéric Chazal et al. FOUNDATIONS OF COMPUTATIONAL MATHEMATICS
- Grid cells generate an analog error-correcting code for singularly precise neural computation
- (2011) Sameet Sreenivasan et al. NATURE NEUROSCIENCE
- 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
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now