[Comp-neuro] Frontiers in Neural Circuits Research Topic

[Ravi Rao]

Frontiers in Neural Circuits Research Topic
Towards an integrated approach to measurement, analysis and modeling of 
cortical networks
Topic Editors:
A. Ravishankar Rao, IBM Research, USA 
Guillermo A. Cecchi, IBM Watson Research Center, USA 
Ehud Kaplan, Mt. Sinai School of Medicine, NYC, USA


Recent technological advances have led to an unprecedented increase in the 
volume and detail of neuroscientific data, creating significant challenges 
in their processing and interpretation. We tackle this challenge via a 
network-centric approach, which matches the physical structure of the 
brain. 

Progress is essential on three major fronts:
1.      Measurement of neural activity
2.      Estimation of network structures from this activity, and their 
analysis
3.      Modeling network function, leading to theoretical understanding. 

We emphasize that these three fronts are interdependent but must evolve 
synergestically. The model and theoretical understanding needs to be 
grounded in constraints produced by the measurement process.  Insights 
derived from modeling can be used to drive novel experiments and 
measurement techniques.

Suggested topics include, but are not limited to:
1.      Methodologies for network model validation.
2.      Interesting emergent properties that may arise from the network, 
such as synchrony.
3.      Multi-scale modeling that bridges gaps between the single neuron 
level and behavior at higher level.
4.      Applications of cortical network modeling to understand disease 
function.

For further details, please refer to 
http://www.frontiersin.org/neural_circuits/researchtopics/Towards_an_integrated_approach/1717

Abstract Submission: June 15, 2013
Full Article Submission: October 1, 2013

Further information: ravirao at us.ibm.com

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