Ising models for neural activity inferred via selective cluster expansion: structural and coding properties
Published 2013 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Ising models for neural activity inferred via selective cluster expansion: structural and coding properties
Authors
Keywords
-
Journal
JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT
Volume 2013, Issue 03, Pages P03002
Publisher
IOP Publishing
Online
2013-03-12
DOI
10.1088/1742-5468/2013/03/p03002
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- The Bethe approximation for solving the inverse Ising problem: a comparison with other inference methods
- (2012) Federico Ricci-Tersenghi JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT
- Adaptive Cluster Expansion for the Inverse Ising Problem: Convergence, Algorithm and Tests
- (2012) S. Cocco et al. JOURNAL OF STATISTICAL PHYSICS
- Inverse Ising Inference Using All the Data
- (2012) Erik Aurell et al. PHYSICAL REVIEW LETTERS
- The Ising decoder: reading out the activity of large neural ensembles
- (2011) Michael T. Schaub et al. JOURNAL OF COMPUTATIONAL NEUROSCIENCE
- The Architecture of Functional Interaction Networks in the Retina
- (2011) E. Ganmor et al. JOURNAL OF NEUROSCIENCE
- Adaptive Cluster Expansion for Inferring Boltzmann Machines with Noisy Data
- (2011) S. Cocco et al. PHYSICAL REVIEW LETTERS
- New Method for Parameter Estimation in Probabilistic Models: Minimum Probability Flow
- (2011) Jascha Sohl-Dickstein et al. PHYSICAL REVIEW LETTERS
- Fast, Scalable, Bayesian Spike Identification for Multi-Electrode Arrays
- (2011) Jason S. Prentice et al. PLoS One
- Sparse low-order interaction network underlies a highly correlated and learnable neural population code
- (2011) E. Ganmor et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- High-dimensional Ising model selection using ℓ 1 -regularized logistic regression
- (2010) Pradeep Ravikumar et al. ANNALS OF STATISTICS
- Sparse coding and high-order correlations in fine-scale cortical networks
- (2010) Ifije E. Ohiorhenuan et al. NATURE
- Principal component analysis of ensemble recordings reveals cell assemblies at high temporal resolution
- (2009) Adrien Peyrache et al. JOURNAL OF COMPUTATIONAL NEUROSCIENCE
- How Connectivity, Background Activity, and Synaptic Properties Shape the Cross-Correlation between Spike Trains
- (2009) S. Ostojic et al. JOURNAL OF NEUROSCIENCE
- Small-correlation expansions for the inverse Ising problem
- (2009) Vitor Sessak et al. Journal of Physics A-Mathematical and Theoretical
- Replay of rule-learning related neural patterns in the prefrontal cortex during sleep
- (2009) Adrien Peyrache et al. NATURE NEUROSCIENCE
- Prediction of Spatiotemporal Patterns of Neural Activity from Pairwise Correlations
- (2009) O. Marre et al. PHYSICAL REVIEW LETTERS
- Neuronal couplings between retinal ganglion cells inferred by efficient inverse statistical physics methods
- (2009) S. Cocco et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Efficient Network Reconstruction from Dynamical Cascades Identifies Small-World Topology of Neuronal Avalanches
- (2009) Sinisa Pajevic et al. PLoS Computational Biology
- A Maximum Entropy Model Applied to Spatial and Temporal Correlations from Cortical Networks In Vitro
- (2008) A. Tang et al. JOURNAL OF NEUROSCIENCE
- Spatio-temporal correlations and visual signalling in a complete neuronal population
- (2008) Jonathan W. Pillow et al. NATURE
- Behavior-dependent short-term assembly dynamics in the medial prefrontal cortex
- (2008) Shigeyoshi Fujisawa et al. NATURE NEUROSCIENCE
- Identification of direct residue contacts in protein-protein interaction by message passing
- (2008) M. Weigt et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search