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ESANN
2007

Informational cost in correlation-based neuronal networks

8 years 10 months ago
Informational cost in correlation-based neuronal networks
The cost of maintaining a given level of activity in a neuronal network depends on its size and degree of connectivity. Should a neural function require large-size fully-connected networks, the cost can easily exceed metabolic resources, especially for high level neural functions. We show that, even in this case, the cost can still match the energetic resources provided the function is broken down into a set of subfunctions, each assigned to a higly-connected, smallsize module, all together forming a correlation-based type network. Cell assemblies are the best examples of such type of networks.
Gaetano Liborio Aiello, Carlo Casarino
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2007
Where ESANN
Authors Gaetano Liborio Aiello, Carlo Casarino
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