DocumentCode :
3661049
Title :
Synaptic amplification by axo-shaft synapses in a pyramidal neuron model
Author :
Youwei Zheng;Lars Schwabe
Author_Institution :
Faculty of Computer Science and Electrical Engineering, University of Rostock, Germany
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
1
Lastpage :
6
Abstract :
Both the type and location of synaptic contacts can have profound functional consequences for cortical pyramidal neurons. Axo-spinous synapses integrate evoked potentials in a linear fashion and axo-shaft ones summate responses sublinearly. Using modeling and simulation, we accurately replicate such type-dependent synaptic integration and examine one of the possible underlying mechanisms. Moreover, the integrative properties of distal spines in pyramidal neurons have a distinct impact on the neuronal output. Our results demonstrate that distal axo-shaft synapses can gate nonlinear dendritic computing with higher threshold and drive somatic potential with higher gain. The implications these results have for the computational capacity of pyramidal neurons are discussed.
Keywords :
"Computational modeling","Neurons","Shafts"
Publisher :
ieee
Conference_Titel :
Neural Networks (IJCNN), 2015 International Joint Conference on
Electronic_ISBN :
2161-4407
Type :
conf
DOI :
10.1109/IJCNN.2015.7280356
Filename :
7280356
Link To Document :
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