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Call for Contributions to Frontiers in Computational Neuroscience

08.08.2011: BCF researchers organize a "Research Topic" in open access journal. Ad Aertsen, Stefan Rotter, Arvind Kumar und Stefano Cardanobile are organizing a "Research Topic" (formerly known as "Special Topic") in the journal Frontiers in Computational Neuroscience.

 

The topic is:

"Structure, dynamics and function of brains: exploring relations and constraints"

 

The dates for the upcoming round are

Deadline for abstract submission: September 5, 2011
Deadline for full article submission: January 15, 2012

You can find the page for this call at the Frontiers in Computational Neuroscience website.

 


 

Since Euler’s treatment of the celebrated “Seven Bridges of Königsberg” math puzzle as a network problem in 1735, graphs and networks have been used as model descriptions in virtually every facet of nature. Networks are particularly prevalent in biological systems. Neuronal network models have been the work horses of theoretical and computational neuroscientists for decades, not only to better understand biological neuronal networks, but also to draw inspiration for the analysis of experimental data and to help understand the function of the brain. Groundbreaking work by Erdós and Rényi laid the foundations to employ random networks as models. This has provided important insight into the dynamics of large networks in the brain. In fact, such models have served as a test bed for a variety of theoretical concepts. With recent advances in experimental techniques, however, it is becoming increasingly clear that the networks of the brain have statistical features that considerably deviate from classical random networks. Thus, the study of structured neuronal networks per se, and of the relations and constraints between structure, dynamics and function of networks, is rapidly developing into a new research paradigm in neuroscience.

This Research Topic of Frontiers in Computational Neuroscience is aimed at bringing together recent advances in the field of structured neuronal networks and the interactions between structure, dynamics and function of networks. We invite contributions primarily from the field of neuroscience; however, contributions of general interest from related fields (e.g., communication networks, social networks, technical networks) will also be considered.


Topics of interest include but are not limited to:

  • Inferring structure from dynamics
  • Consequences of structure on dynamics
  • Structured networks and dynamics outside neuroscience, e.g., Internet/communication networks
  • Synaptic plasticity and emergence/loss of structure in the network
  • Consequence of non-randomness in the network on neural data analysis
  • Function and computing capabilities of structured networks
  • Artificially designed of non-random biological network in vitro

 


 

In this research topic, the following articles have been published already:

 

Review Article
Robust Transient Dynamics and Brain Functions
Mikhail I. Rabinovich and Pablo Varona
doi: 10.3389/fncom.2011.00024

Original Research Article
Clustering Predicts Memory Performance in Networks of Spiking and Non-Spiking Neurons
Weiliang Chen, Reinoud Maex, Rod Adams, Volker Steuber, Lee Calcraft and Neil Davey
doi: 10.3389/fncom.2011.00014

Original Research Article
Extraction of Network Topology From Multi-Electrode Recordings: Is there a Small-World Effect?
Felipe Gerhard, Gordon Pipa, Bruss Lima, Sergio Neuenschwander and Wulfram Gerstner
doi: 10.3389/fncom.2011.00004

Original Research Article
Information Diversity in Structure and Dynamics of Simulated Neuronal Networks
Tuomo Mäki-Marttunen, Jugoslava Aćimović, Matti Nykter, Juha Kesseli, Keijo Ruohonen, Olli Yli-Harja and Marja-Leena Linne
doi: 10.3389/fncom.2011.00026

Original Research Article
Excitatory, inhibitory and structural plasticity produce correlated connectivity in random networks trained to solve paired-stimulus tasks
Mark Bourjaily and Paul Miller
doi: 10.3389/fncom.2011.00037

Original Research Article
The Interaction of Intrinsic Dynamics and Network Topology in Determining Network Burst Synchrony
Chris Gaiteri and Jonathan E. Rubin
doi: 10.3389/fncom.2011.00010

Original Research Article
Emergence of Physiological Oscillation Frequencies in a Computer Model of Neocortex
Samuel A. Neymotin, Heekyung Lee, Eunhye Park, André A. Fenton and William W. Lytton
doi: 10.3389/fncom.2011.00019

Review Article
The Non-Random Brain: Efficiency, Economy, and Complex Dynamics
Olaf Sporns
doi: 10.3389/fncom.2011.00005

Review Article
Methods for Generating Complex Networks with Selected Structural Properties for Simulations: A Review and Tutorial for Neuroscientists
Brenton J. Prettejohn, Matthew J. Berryman and Mark D. McDonnell
doi: 10.3389/fncom.2011.00011

Original Research Article
The Role of Degree Distribution in Shaping the Dynamics in Networks of Sparsely Connected Spiking Neurons
Alex Roxin
doi: 10.3389/fncom.2011.00008

Original Research Article
Synchronization from Second Order Network Connectivity Statistics
Liqiong Zhao, Bryce Beverlin, Theoden Netoff and Duane Q. Nykamp
doi: 10.3389/fncom.2011.00028

 


 

 

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