• 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