Summation in the hippocampal CA3-CA1 network remains robustly linear following inhibitory modulation and plasticity, but undergoes scaling and offset transformations

Many theories of neural network function assume linear summation. This is in apparent conflict with several known forms of nonlinearity in real neurons. Furthermore, key network properties depend on the summation parameters, which are themselves subject to modulation and plasticity in real neurons....

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Bibliographic Details
Main Authors: Dhanya eParameshwaran, Upinder S Bhalla
Format: Article
Language:English
Published: Frontiers Media S.A. 2012-09-01
Series:Frontiers in Computational Neuroscience
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fncom.2012.00071/full