How evolution learns to generalise: Using the principles of learning theory to understand the evolution of developmental organisation
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
How evolution learns to generalise: Using the principles of learning theory to understand the evolution of developmental organisation
Authors
Keywords
Phenotypes, Evolutionary developmental biology, Sound pressure, Natural selection, Learning, Organismal evolution, Evolutionary genetics, Evolutionary adaptation
Journal
PLoS Computational Biology
Volume 13, Issue 4, Pages e1005358
Publisher
Public Library of Science (PLoS)
Online
2017-04-07
DOI
10.1371/journal.pcbi.1005358
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- The Evolutionary Origins of Hierarchy
- (2016) Henok Mengistu et al. PLoS Computational Biology
- Constraints Evolve: Context Dependency of Gene Effects Allows Evolution of Pleiotropy
- (2015) Mihaela Pavličev et al. Annual Review of Ecology Evolution and Systematics
- Modeling the evolution of complex genetic systems: The gene network family tree
- (2014) Janna L. Fierst et al. JOURNAL OF EXPERIMENTAL ZOOLOGY PART B-MOLECULAR AND DEVELOPMENTAL EVOLUTION
- Interaction-based evolution: how natural selection and nonrandom mutation work together
- (2013) Adi Livnat Biology Direct
- THE EVOLUTION OF PHENOTYPIC CORRELATIONS AND “DEVELOPMENTAL MEMORY”
- (2013) Richard A. Watson et al. EVOLUTION
- Mutation Rules and the Evolution of Sparseness and Modularity in Biological Systems
- (2013) Tamar Friedlander et al. PLoS One
- The evolutionary origins of modularity
- (2013) J. Clune et al. PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
- Survivability Is More Fundamental Than Evolvability
- (2012) Michael E. Palmer et al. PLoS One
- Genotype-Phenotype Maps Maximizing Evolvability: Modularity Revisited
- (2011) Mihaela Pavlicev et al. Evolutionary Biology
- Gene regulatory networks and the role of robustness and stochasticity in the control of gene expression
- (2011) L. T. MacNeil et al. GENOME RESEARCH
- Evolution of molecular error rates and the consequences for evolvability
- (2011) E. Rajon et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Mutational robustness can facilitate adaptation
- (2010) Jeremy A. Draghi et al. NATURE
- Robustness and Evolvability
- (2010) Joanna Masel et al. TRENDS IN GENETICS
- Bias and Evolution of the Mutationally Accessible Phenotypic Space in a Developmental System
- (2010) Christian Braendle et al. PLoS Genetics
- An Analytically Solvable Model for Rapid Evolution of Modular Structure
- (2009) Nadav Kashtan et al. PLoS Computational Biology
- Quantifying counts and costs via classification
- (2008) George Forman DATA MINING AND KNOWLEDGE DISCOVERY
- A mixability theory for the role of sex in evolution
- (2008) A. Livnat et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Facilitated Variation: How Evolution Learns from Past Environments To Generalize to New Environments
- (2008) Merav Parter et al. PLoS Computational Biology
- Is evolvability evolvable?
- (2007) Massimo Pigliucci NATURE REVIEWS GENETICS
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