DocumentCode
446061
Title
Creation of long-term mental representations using the dimension of fractal dendrites
Author
Gagné, Richard ; Gagné, Simon
Author_Institution
Dept. de Genie Electrique et de Genie Informatique, Laval Univ., Que.
Volume
4
fYear
2005
fDate
July 31 2005-Aug. 4 2005
Firstpage
2129
Abstract
This work explores the possibility of using a neuron\´s dendrite spatial dimension as primitives for creating representations of mental activity. Recent in-vivo experimental results show that: (a) spines are structurally unstable and (b) adult dendrites are not static. These results suggest that using the synapse alone to create mental representations is insufficient. Using diffusional type equations, as models for the voltage fluctuations at a neuron\´s soma due to massive synaptic activity, two experiments were performed: (a) the autocorrelation function of the cable equation with fractal boundary conditions was determined and compared to those of the Ornstein-Uhlenbeck and Tuckwell-Walsh random processes and (b) these autocorrelation functions remained unchanged in spite of drastic regression of its branches. These results hint at a remarkably stable possible form of "information" storage
Keywords
boundary-value problems; brain models; correlation methods; neural nets; autocorrelation function; dendrite spatial dimension; diffusional type equations; fractal boundary conditions; fractal dendrites; long-term mental representations; massive synaptic activity; Autocorrelation; Boundary conditions; Encoding; Equations; Fractals; Learning systems; Nerve fibers; Neurons; Random processes; Voltage fluctuations;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2005. IJCNN '05. Proceedings. 2005 IEEE International Joint Conference on
Conference_Location
Montreal, Que.
Print_ISBN
0-7803-9048-2
Type
conf
DOI
10.1109/IJCNN.2005.1556229
Filename
1556229
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