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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