Advertisement

Table of Contents: November 2011

This image shows a simple mathematical rule describing collective decision-making. In this study (see Pérez-Escudero and de Polavieja, 10.1371/journal.pcbi.1002282) the authors used as their starting point that brains estimate the likely structure of the world from uncertain sensory data. Applying this to the case in which sensory data contains nonsocial and social components, the authors derive simple expressions for individual decisions that give rise to collective behaviors. The authors also show that these expressions correspond to existing data on fish collective decisions.

Image Credit: Sara Arganda, Alfonso Pérez-Esdudero & Gonzalo G. de Polavieja, Instituto Cajal, CSIC, Madrid, España.

Perspectives

PLoS Computational Biology Conference Postcards from ISMB/ECCB 2011

Pedro Madrigal, Noa Sela, Simon M. Lin

Reviews

The What and Where of Adding Channel Noise to the Hodgkin-Huxley Equations

Joshua H. Goldwyn, Eric Shea-Brown

Research Articles

Construction and Analysis of an Integrated Regulatory Network Derived from High-Throughput Sequencing Data

Chao Cheng, Koon-Kiu Yan, Woochang Hwang, Jiang Qian, Nitin Bhardwaj, Joel Rozowsky, Zhi John Lu, Wei Niu, Pedro Alves, Masaomi Kato, Michael Snyder, Mark Gerstein

Robust Signal Processing in Living Cells

Ralf Steuer, Steffen Waldherr, Victor Sourjik, Markus Kollmann

Significance of Input Correlations in Striatal Function

Man Yi Yim, Ad Aertsen, Arvind Kumar

Speed, Sensitivity, and Bistability in Auto-activating Signaling Circuits

Rutger Hermsen, David W. Erickson, Terence Hwa

Virus Replication Strategies and the Critical CTL Numbers Required for the Control of Infection

Andrew J. Yates, Minus Van Baalen, Rustom Antia

Optimizing Experimental Design for Comparing Models of Brain Function

Jean Daunizeau, Kerstin Preuschoff, Karl Friston, Klaas Stephan

Sparse Gamma Rhythms Arising through Clustering in Adapting Neuronal Networks

Zachary P. Kilpatrick, Bard Ermentrout

Collective Animal Behavior from Bayesian Estimation and Probability Matching

Alfonso Pérez-Escudero, Gonzalo G. de Polavieja

Genome Majority Vote Improves Gene Predictions

Michael E. Wall, Sindhu Raghavan, Judith D. Cohn, John Dunbar

Phosphorylation of the Arp2 Subunit Relieves Auto-inhibitory Interactions for Arp2/3 Complex Activation

Arjun Narayanan, Lawrence L. LeClaire III, Diane L. Barber, Matthew P. Jacobson

Identification of Biochemical Network Modules Based on Shortest Retroactive Distances

Gautham Vivek Sridharan, Soha Hassoun, Kyongbum Lee

Computational Modeling and Analysis of Insulin Induced Eukaryotic Translation Initiation

Joshua Lequieu, Anirikh Chakrabarti, Satyaprakash Nayak, Jeffrey D. Varner

Stochastic Delay Accelerates Signaling in Gene Networks

Krešimir Josić, José Manuel López, William Ott, LieJune Shiau, Matthew R. Bennett

Representational Switching by Dynamical Reorganization of Attractor Structure in a Network Model of the Prefrontal Cortex

Yuichi Katori, Kazuhiro Sakamoto, Naohiro Saito, Jun Tanji, Hajime Mushiake, Kazuyuki Aihara

Dynamical and Structural Analysis of a T Cell Survival Network Identifies Novel Candidate Therapeutic Targets for Large Granular Lymphocyte Leukemia

Assieh Saadatpour, Rui-Sheng Wang, Aijun Liao, Xin Liu, Thomas P. Loughran, István Albert, Réka Albert

A Density-Dependent Switch Drives Stochastic Clustering and Polarization of Signaling Molecules

Alexandra Jilkine, Sigurd B. Angenent, Lani F. Wu, Steven J. Altschuler

Reversible and Noisy Progression towards a Commitment Point Enables Adaptable and Reliable Cellular Decision-Making

Anna Kuchina, Lorena Espinar, Jordi Garcia-Ojalvo, Gürol M. Süel

Transcriptomic Coordination in the Human Metabolic Network Reveals Links between n-3 Fat Intake, Adipose Tissue Gene Expression and Metabolic Health

Melissa J. Morine, Audrey C. Tierney, Ben van Ommen, Hannelore Daniel, Sinead Toomey, Ingrid M. F. Gjelstad, Isobel C. Gormley, Pablo Pérez-Martinez, Christian A. Drevon, Jose López-Miranda, Helen M. Roche

How Landscape Heterogeneity Frames Optimal Diffusivity in Searching Processes

E. P. Raposo, F. Bartumeus, M. G. E. da Luz, P. J. Ribeiro-Neto, T. A. Souza, G. M. Viswanathan

High Degree of Heterogeneity in Alzheimer's Disease Progression Patterns

Natalia L. Komarova, Craig J. Thalhauser

Learning the Optimal Control of Coordinated Eye and Head Movements

Sohrab Saeb, Cornelius Weber, Jochen Triesch

The Statistics of Bulk Segregant Analysis Using Next Generation Sequencing

Paul M. Magwene, John H. Willis, John K. Kelly

Interspecies Translation of Disease Networks Increases Robustness and Predictive Accuracy

Seyed Yahya Anvar, Allan Tucker, Veronica Vinciotti, Andrea Venema, Gert-Jan B. van Ommen, Silvere M. van der Maarel, Vered Raz, Peter A. C. ‘t Hoen

Related Articles

  1. Correction: Interspecies Translation of Disease Networks Increases Robustness and Predictive Accuracy

Stability Properties of Underdominance in Finite Subdivided Populations

Philipp M. Altrock, Arne Traulsen, Floyd A. Reed

Trade-Offs and Constraints in Allosteric Sensing

Bruno M.C. Martins, Peter S. Swain