10/09/2015
What happens when noise appears in the dynamics of a co-evolving network?
http://journals.aps.org/pre/abstract/10.1103/PhysRevE.92.032803 …
Noise in coevolving networks
This work investigates the role of noise in the coevolutionary voter model. Using simulations and analytical approximations, the authors find that noise, depending on its type, may have significant implications for the behavior of the absorbing and fragmentation transitions.
25/03/2015
Are you a student with programming skills? Then, this is for you:
Google Summer of Code program with INCF
The application period for Google Summer of Code (GSoC) projects with INCF (International NeuroInformatics Facility) is still open, and we encourage interested candidates to apply to this exciting opportunity.
Every year Google invites students to embark with an open-source institution of their choice for few months, and develop code in a project of the interest. These experiences make a real difference, boosting students' careers and enriching many software tools in the process.
We would welcome interested students to direcly address any questions or enquiries, as well as intention to apply, to Dr Ivan J Roijals ([email protected]).
Toolboxing complexity for connectomes: New code for big samples in C-PAC
C-PAC (Configurable Pipeline for the Analysis of Connectomes, http://fcp-indi.github.io/) is a new, developing tool designed to study connectivity in brain images, transformed into connectomes. It allows us to work with big datasets using computer clusters. Integrating some of the most successful imaging environments to date (FSL, AFNI, ANTS), and advancing several innovative methods in preprocessing (automatic quality control, motion correction, regional homogeneity), it provides researchers with the chance to test new network and dynamical properties. Complexity measures (graph and non-linear series) are currently among the best tools to study functional network properties and the design of the brain topological properties.
Aims
In contact with mentors, C-PAC developers and its forums, the successful student will develop very valuable and innovative tools that will help researchers to perform new analysis in connectomics:
- To add/expand a set of python scripts (within the scope of the developers' documentation; http://fcp-indi.github.io/docs/developer/developer/index.html), oriented to the analysis of non-linear series' within the time series workflow, thus giving a comprehensive set of analysis tools in this area to the researcher. Some of the proposed, such as sample and transfer entropies, multifractal analysis and surrogate testing, would help to test dynamical properties not available in current packages.
- From a different perspective, this project is also aimed to produce code and integration of new network connectivity (generically within centrality and complexity structure), complementing the existing ones, in the frame of C-PAC's analysis/networks workflow and providing a more comprehensive set of tools for the study of connectomes.
- To put the test these tools to test and document its performance with the study of available databases (ie. 1000 connectomes datasets) and the properties that pinpoint in brain function. It will also be expected to help in the integration of workflows and components, possibly interacting with the C-PAC community.
Skills
- Essential: Hands-on experience in python, possibly in Nipype and sofware developing. Familiarity with cluster and grid computing and software carpentry / collaborative software (Github). Basic knowledge on scientific implementation. Basic knowledge on functional imaging processing. Knowledge in graph methods, time-series complexity analysis and information theory.
- Desirable: C++ and/or Fortran, Perl, Javascript, CSS. Working knowledge on imaging preprocessing and frequency analysis. Knowledge on imaging packages (FSL, AFNI).
Mentors
Ivan J Roijals (KI-INCF, [email protected]). Co-mentors: Cameron Craddock (Child Mind Institute), Victor M Eguiluz (IFISC-UIB)
23/03/2015
What happens at the political strongholds (locations where the votes for a party are higher than average)? You can find it out in this new paper:
http://ifisc.uib-csic.es/publications/publication-detail.php?indice=2609
Publication details - IFISC
Perez, Toni; Fernandez-Gracia, Juan; Ramasco, Jose J.; Eguiluz, Victor M.Social Computing, Behavioral-Cultural Modeling, and Prediction Lecture Notes in Computer Science 9021, Springer 173-181 (2015)
17/03/2015
Yesterday, Jorge P. Rodriguez participated in the poster session of SOE in DPG Spring meeting 2015 in Berlin. If you want to know more about his poster, you can find all the information in http://ifisc.uib-csic.es/users/jorge/mobilepart.html
17/02/2015
How do you think we use the available information in a decision making process? You can find here an explanation: http://arxiv.org/abs/1502.01055
[1502.01055] Bayesian decision making in human collectives with binary choices
05/02/2015
Check out the last paper published by members of the Modass project:
http://journals.aps.org/pre/abstract/10.1103/PhysRevE.91.022803
There are some related works on phylogenetic trees:
http://www.biomedcentral.com/1471-2148/11/155
http://www.worldscientific.com/doi/abs/10.1142/S0218127410026095
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0002757
Also on directory and file trees:
http://journals.aps.org/prl/abstract/10.1103/PhysRevLett.95.128701
http://www.sciencedirect.com/science/article/pii/S0167278906003629
Anomalous scaling in an age-dependent branching model
We introduce a one-parametric family of tree growth models, in which branching probabilities decrease with branch age $$\tau${}$ as ${$\tau${}}^{$-${}$\alpha${}}$. Depending on the exponent $$\alpha${}$, the scaling of tree depth with tree size $n$ displays a transition between the logarithmic scali…
04/11/2014
Os dejamos esta entrada del blog sobre física-matemática de la revista Investigación y Ciencia escrita por http://t.co/8Vi25OGbQm
25/04/2014
ScienceShot: Physics Predicts U.S. Voting Patterns
http://t.co/3bdn7dUxpy
23/04/2014
Is the Voter model a model for voters?
Check out the recent PRL paper published by members of our team!
Bonus content: It made it to Physics Phocus
http://physics.aps.org/articles/v7/40
Phys. Rev. Lett. 112, 158701 (2014) - Is the Voter Model a Model for Voters?
Although we endeavor to make our web sites work with a wide variety of browsers, we can only support browsers that provide sufficiently modern support for web standards. Thus, this site requires the use of reasonably up-to-date versions of Google Chrome, FireFox, Internet Explorer (IE 9 or greater),…
08/04/2014
Check out the last Spanish press coverage of the published paper by members of our team: http://t.co/zND9e5jd3X
05/02/2015
23/04/2014