Structure and Dynamics of Brain Connectivity Networks


Structure and Dynamics of Brain Connectivity Networks

This group discusses methods for generating and analyzing brain connectivity data (the "connectome") and how to simulate development and dynamics on anatomicially realistic neural networks. It can also be used to announce jobs, events, and CFP's.

Members: 104
Latest Activity: May 10, 2014

Member Forum

How to measure performance in machine learning?

Started by Aureli Soria-Frisch Apr 25, 2013.

Some definitions for brain connectivity analysis 2 Replies

Started by Dr Marcus Kaiser. Last reply by Saeideh Bakhshi May 24, 2011.

New UK group and mailing list on image-based Neuroinformatics and brain connectivity 1 Reply

Started by Dr Marcus Kaiser. Last reply by Dr Peled Apr 12, 2011.

Special Issue on Hierarchy and Dynamics in Neural Networks

Started by Dr Marcus Kaiser Sep 7, 2010.

Comment Wall


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Comment by Alessandro Torcini on July 16, 2012 at 11:59am

Two fully funded PhD fellowships in Computational Neuroscience

1. Emergence of collective dynamics in scale-free neuronal networks (ESR14)
2. Measures of spike train synchrony    (ESR15)
within the Marie Curie Initial Training Network - ‘Neural Engineering Transformative Technologies’ (NETT) at the Institute of Complex Systems (ISC), CNR, Florence, Italy.
Gross Salary per annum:  42,028 € (Living Allowance)  plus 9,290-  13,272 (Mobility Allowance) depending on circumstances
Required titles:  MSc in Physics,  Mathematics or Engineering obtained later than 01 sept 2008
Applications: The applications should be prepared and send as detailed here
Closing date for both positions: 1 September 2012
Comment by Dr Marcus Kaiser on July 11, 2011 at 1:45pm
Dear all,

An introduction to brain network analysis, with particular features on
cluster detection and spatial network properties, has just appeared in

The article is also available under the publications link on my homepage at

Even though the examples in this Neuroimage article are largely based on
resting-state functional and DTI structural connectivity, the concepts
also apply to electrophysiology datasets (e.g. Multi-electrode correlation


Marcus Kaiser, Ph.D.
Reader (Associate Professor) in Neuroinformatics
Newcastle University
Comment by Dr Marcus Kaiser on April 5, 2011 at 10:51am

Dear UK members,


the UK INCF node is starting special interest groups (SIGs) along six different areas ( ). These groups will be officially announced on the 20 April INCF symposium at this year's meeting of the British Neuroscience Association (BNA) in Harrogate.


SIG2 on 'Image-Based Neuroinformatics' is led by me and Albert Burger. The aim of the SIG is to bring together developers and users of Neuroinformatics tools concerning image-based analysis. Developers can learn from users what the needs and challenges in software development are and users can learn about state-of-the-art analysis in the field and how to use existing tools. Neuroimaging is covering a wide range of experimental techniques from MRI, PET, EEG, and MEG to optical imaging (Calcium imaging, voltage-sensitive dyes). The aim of the SIG is also to link the UK to ongoing international INCF activities in the area.

Topipcs of the SIG consist of but are not limited to:
- Imaging analysis tools: FSL, SPM
- Databases, atlases, and ontologies
- Brain Connectivity / Connectome Analysis


Please feel free to meet us at the BNA meeting or to sign up for the mailing list of this special interest group. If you wish to join the SIG2 list, please email  (see for more information).



Marcus Kaiser, Ph.D.
Reader (Associate Professor) in Neuroinformatics
Newcastle University

Comment by Dr Marcus Kaiser on April 5, 2011 at 10:35am

Dear all,

Brain Connectivity Workshop 2011 Montreal

(Registration now open using link above)


The Brain Connectivity Workshop (BCW) series aims to bring together experts in computational neuroscience, neuroscience methodology and experimental neuroscience with a special interest in understanding the tripartite relationship between anatomical connectivity, brain dynamics and cognitive function. The first BCW was organized by Rolf Kötter and Karl Friston in April 2002 in Düsseldorf, Germany. Since then, the workshop is a yearly recurrent event organized by a different institution around the globe.


The 2-day workshop is preceded by a 1-day Brain Connectivity Course, in which brain connectivity experts will introduce the concepts underlying the current state-of-the-art methodologies and experimental designs. This year, the first day course will introduce dynamical systems, graph theory and network analysis, diffusion imaging, genetics and connectivity, cortical oscillations and connectivity of the developing brain (see the scientific program).


The BCW proper will begin with an opening lecture by Karl Friston in honor of Rolf Kotter. Then, the workshop will cover animal models and connectivity, the connectivity of the developing brain, and for the first time epilepsy in a developing brain. Childhood is a critical period where brain regions become specialized and neural networks are organized for efficient information processing. Pathological development, such as that observed in epileptic brains is highly disruptive. Regrettably, our understandings of the mechanisms involved in the pathogenic processes are still unclear. Advances in brain connectivity analyses will push forward state-of the art research in brain development and epilepsy.




Sarah Lippé (University of Montreal & CHU Ste-Justine)

Randy McIntosh (Director of Research, Rotman Research Institute)

Klaas Enno Stephan (Laboratory for Social and Neural Systems Research Institute for Empirical Research in Economics University of Zürich) 

In collaboration with Jacques Michaud and Jean Séguin (University of Montréal & CHU Ste-Justine)

Advisory Board

Michael Breakspear

Gustavo Deco

Karl Friston

Lee Harrison

John-Dylan Haynes

Barry Horwitz

Viktor Jirsa

Jorge Riera

Petra Ritter

Alard Roebroeck

Pedro Valdes-Sosa

Olaf Sporns



Marcus Kaiser, Ph.D.
Reader (Associate Professor) in Neuroinformatics
Newcastle University

Comment by Dr Marcus Kaiser on August 25, 2010 at 4:05am
Dear all,

Hierarchy is a central feature in the organization of complex neural networks. This topic is an emerging key question in neuroscience, as well as generally in the field of network science, due to its links with concepts of control, efficiency, and development across scales.

The contributed articles of our special issue on 'Hierarchy and Dynamics in Neural Networks' have now appeared in Frontiers in Neuroinformatics. For your information, these articles are listed below and a two-page overview can be found in the editorial ( ).

Perception and hierarchical dynamics
Stefan J Kiebel, Jean Daunizeau and Karl J Friston

Hierarchical modularity in human brain functional networks David Meunier, Renaud Lambiotte, Alex Fornito, Karen Ersche and Edward T Bullmore

Interplay between topology and dynamics in excitation patterns on hierarchical graphs
Marc Hütt and Annick Lesne

Signal propagation in cortical networks: a digital signal processing approach Francisco A Rodrigues and Luciano da F Costa

Cortical hubs form a module for multisensory integration on top of the
hierarchy of cortical networks
Gorka Zamora-López, Changsong Zhou and Jürgen Kurths

Criteria for optimizing cortical hierarchies with continuous ranges
Antje Krumnack, Andrew T Reid, Egon Wanke, Gleb Bezgin and Rolf Kötter

Optimal hierarchical modular topologies for producing limited sustained
activation of neural networks
Marcus Kaiser and Claus C Hilgetag

Extending stability through hierarchical clusters in Echo State Networks
Sarah Jarvis, Stefan Rotter and Ulrich Egert

Hierarchy and dynamics of neural networks (editorial)
Marcus Kaiser, Claus C Hilgetag and Rolf Kötter


Marcus Kaiser, Ph.D.
Reader (Associate Professor) in Neuroinformatics
Newcastle University
Comment by Alexander Khobotov on August 25, 2010 at 3:32am
Sufficiently large group of Russian researchers, to which I belong that the examination of Structure and Dynamics of Brain Connectivity Networks is the most promising for the understanding of the functioning of the brain.
Comment by Juan F Gomez-Molina on May 6, 2010 at 10:08am
Just joined. my research interest: applying classical invasive theory to non-invasive regions of neuroscience (eeg/meg, fmri, evolutionary and genetic and biochemical sampling, etc; you are also invited to be a member of the group " Neuro-Math for Min-Invasive Signals" here in theneuronetwork). thanks.
Comment by Istvan Bokkon on August 27, 2009 at 9:57am
István Bókkon: Chemical and bioengineer, PhD doctorandus at Semmelweis University, Member of Hungarian Biochemical Society, Associate professor at Vision Research Institute, 428 Great Road Suite 11, Acton, MA 01720 USA

I deal with the natural biophysical substrate of visual perception and visual imagery.The main goal of my research is to prove that intrinsic pictures can be emerged by redox and biophoton processes in retinotopically organized cytochrome oxidase rich neurons of visual areas during visual imagery, visual hallucination, and REM dream pictures within the brain. You can read some of my papers on this website.
I do not claim to solve the secret of consciousness, but propose that the evolution in the higher levels of complexity made possible the intrinsic picture representation of the external visual world by regulated redox and bioluminescent biophotons in the visual system during visual perception and visual imagery.

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