Nonlinear multiplicative dendritic integration in neuron and network models

Nonlinear multiplicative dendritic integration in neuron and network models

Neurons receive inputs from thousands of synapses distributed across dendritic trees of complex morphology. It is known that dendritic integration of excitatory and inhibitory synapses can be highly nonlinear in reality and can heavily depend on the exact location and spatial arrangement of inhibit...

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Bibliographic Details
Main Authors: Danke eZhang, Yuanqing eLi, Malte J. Rasch, Si eWu
Format: Article
Language:English
Published: Frontiers Media S.A. 2013-05-01
Series:Frontiers in Computational Neuroscience
Subjects:
Persistent activity
dendritic computation
shunting inhibition
spiking network model
mean-field analysis
Online Access:http://journal.frontiersin.org/Journal/10.3389/fncom.2013.00056/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fncom.2013.00056/full

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