A Comparison of the Maximum Entropy Principle Across Biological Spatial Scales
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A Comparison of the Maximum Entropy Principle Across Biological Spatial Scales
Authors
Keywords
-
Journal
Entropy
Volume 21, Issue 10, Pages 1009
Publisher
MDPI AG
Online
2019-10-17
DOI
10.3390/e21101009
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Derivations of the Core Functions of the Maximum Entropy Theory of Ecology
- (2019) Alexander B. Brummer et al. Entropy
- Comparison of two maximum entropy models highlights the metabolic structure of metacommunities as a key determinant of local community assembly
- (2019) Jason Bertram et al. ECOLOGICAL MODELLING
- An Introduction to the Non-Equilibrium Steady States of Maximum Entropy Spike Trains
- (2019) Rodrigo Cofré et al. Entropy
- Maximum Entropy Theory of Ecology: A Reply to Harte
- (2018) Marco Favretti Entropy
- Maximum Entropy and Theory Construction: A Reply to Favretti
- (2018) John Harte Entropy
- Information Entropy Production of Maximum Entropy Markov Chains from Spike Trains
- (2018) Rodrigo Cofré et al. Entropy
- Inverse statistical physics of protein sequences: a key issues review
- (2018) Simona Cocco et al. REPORTS ON PROGRESS IN PHYSICS
- Collective Behavior of Social Bots Is Encoded in Their Temporal Twitter Activity
- (2018) Andrej Duh et al. Big Data
- Genomes OnLine database (GOLD) v.7: updates and new features
- (2018) Supratim Mukherjee et al. NUCLEIC ACIDS RESEARCH
- The Pfam protein families database in 2019
- (2018) Sara El-Gebali et al. NUCLEIC ACIDS RESEARCH
- Remarks on the Maximum Entropy Principle with Application to the Maximum Entropy Theory of Ecology
- (2017) Marco Favretti Entropy
- Mutation effects predicted from sequence co-variation
- (2017) Thomas A Hopf et al. NATURE BIOTECHNOLOGY
- Inferring structural connectivity using Ising couplings in models of neuronal networks
- (2017) Balasundaram Kadirvelu et al. Scientific Reports
- PRANAS: A New Platform for Retinal Analysis and Simulation
- (2017) Bruno Cessac et al. Frontiers in Neuroinformatics
- On the Entropy of Protein Families
- (2016) John P. Barton et al. JOURNAL OF STATISTICAL PHYSICS
- Connecting the Sequence-Space of Bacterial Signaling Proteins to Phenotypes Using Coevolutionary Landscapes
- (2016) R. R. Cheng et al. MOLECULAR BIOLOGY AND EVOLUTION
- meteR: anrpackage for testing the maximum entropy theory of ecology
- (2016) Andrew J. Rominger et al. Methods in Ecology and Evolution
- A Strong Test of the Maximum Entropy Theory of Ecology
- (2015) Xiao Xiao et al. AMERICAN NATURALIST
- Statistical Mechanics of the US Supreme Court
- (2015) Edward D. Lee et al. JOURNAL OF STATISTICAL PHYSICS
- Thermodynamics and signatures of criticality in a network of neurons
- (2015) Gašper Tkačik et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Inferring Pairwise Interactions from Biological Data Using Maximum-Entropy Probability Models
- (2015) Richard R. Stein et al. PLoS Computational Biology
- On Theory in Ecology
- (2014) Pablo A. Marquet et al. BIOSCIENCE
- Empirical tests of within- and across-species energetics in a diverse plant community
- (2014) Erica A. Newman et al. ECOLOGY
- Parameter Estimation for Spatio-Temporal Maximum Entropy Distributions: Application to Neural Spike Trains
- (2014) Hassan Nasser et al. Entropy
- Exact computation of the maximum-entropy potential of spiking neural-network models
- (2014) R. Cofré et al. PHYSICAL REVIEW E
- Dynamical maximum entropy approach to flocking
- (2014) Andrea Cavagna et al. PHYSICAL REVIEW E
- A General Pairwise Interaction Model Provides an Accurate Description of In Vivo Transcription Factor Binding Sites
- (2014) Marc Santolini et al. PLoS One
- Quantifying selection in immune receptor repertoires
- (2014) Yuval Elhanati et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Maximum information entropy: a foundation for ecological theory
- (2014) John Harte et al. TRENDS IN ECOLOGY & EVOLUTION
- Searching for Collective Behavior in a Large Network of Sensory Neurons
- (2014) Gašper Tkačik et al. PLoS Computational Biology
- The simplest maximum entropy model for collective behavior in a neural network
- (2013) Gašper Tkačik et al. JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT
- Collective Motion of Humans in Mosh and Circle Pits at Heavy Metal Concerts
- (2013) Jesse L. Silverberg et al. PHYSICAL REVIEW LETTERS
- A pairwise maximum entropy model accurately describes resting-state human brain networks
- (2013) Takamitsu Watanabe et al. Nature Communications
- High-order social interactions in groups of mice
- (2013) Yair Shemesh et al. eLife
- Statistical mechanics for natural flocks of birds
- (2012) W. Bialek et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- TRY - a global database of plant traits
- (2011) J. KATTGE et al. GLOBAL CHANGE BIOLOGY
- Gibbs distribution analysis of temporal correlations structure in retina ganglion cells
- (2011) J.C. Vasquez et al. JOURNAL OF PHYSIOLOGY-PARIS
- Are Biological Systems Poised at Criticality?
- (2011) Thierry Mora et al. JOURNAL OF STATISTICAL PHYSICS
- HHblits: lightning-fast iterative protein sequence searching by HMM-HMM alignment
- (2011) Michael Remmert et al. NATURE METHODS
- HMMER web server: interactive sequence similarity searching
- (2011) R. D. Finn et al. NUCLEIC ACIDS RESEARCH
- Direct-coupling analysis of residue coevolution captures native contacts across many protein families
- (2011) F. Morcos et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- 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
- Towards a unification of unified theories of biodiversity
- (2010) Brian J. McGill ECOLOGY LETTERS
- Plant traits, species pools and the prediction of relative abundance in plant communities: a maximum entropy approach
- (2010) Grégory Sonnier et al. JOURNAL OF VEGETATION SCIENCE
- Sparse coding and high-order correlations in fine-scale cortical networks
- (2010) Ifije E. Ohiorhenuan et al. NATURE
- Curvature in metabolic scaling
- (2010) Tom Kolokotrones et al. NATURE
- Wiener–Granger Causality: A well established methodology
- (2010) Steven L. Bressler et al. NEUROIMAGE
- Maximum entropy models for antibody diversity
- (2010) T. Mora et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Biodiversity scales from plots to biomes with a universal species-area curve
- (2009) John Harte et al. ECOLOGY LETTERS
- Prediction of Spatiotemporal Patterns of Neural Activity from Pairwise Correlations
- (2009) O. Marre et al. PHYSICAL REVIEW LETTERS
- The Brain's Default Network
- (2008) Randy L. Buckner et al. Annals of the New York Academy of Sciences
- A Small World of Neuronal Synchrony
- (2008) Shan Yu et al. CEREBRAL CORTEX
- MAXIMUM ENTROPY AND THE STATE-VARIABLE APPROACH TO MACROECOLOGY
- (2008) J. Harte et al. ECOLOGY
- 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
- 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
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started