- Poster Presentation
- Open Access
Neurons hear their echo
© Helias et al; licensee BioMed Central Ltd. 2010
- Published: 20 July 2010
- Correlation Function
- Inhibitory Neuron
- Recurrent Network
- Minimal Linear
- Irregular State
The functional implications of correlations in cortical networks are still highly debated  and theoreticians are intensely searching for a self-consistent solution of the correlation structure in recurrent networks. Feed-forward descriptions have been presented as approximations  and different aspects of correlation functions in the asynchronous irregular state have been accurately predicted, such as the zero time lag correlation  and its scaling with network size on a coarse time scale . Previous approaches do, however, not explain the differences between the correlation functions for excitatory and inhibitory neurons and they do not describe their temporal structure, an experimentally observable feature that has important functional consequences for synaptic plasticity .
Partially supported by the Helmholtz Alliance on Systems Biology, the Next-Generation Supercomputer Project of MEXT, EU Grant 15879 (FACETS), DIP F1.2, BMBF Grant 01GQ0420 to BCCN Freiburg, and the Research Council of Norway (eVITA). All network simulations were carried out with NEST (http://www.nest-initiative.org).
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