• DocumentCode
    707606
  • Title

    Variability in spiking pattern of leaky integrate-and-fire neuron due to excitatory and inhibitory potentials

  • Author

    Choudhary, Saket Kumar ; Singh, Karan ; Bharti, Sunil Kumar

  • Author_Institution
    SC&SS, Jawaharlal Nehru Univ., New Delhi, India
  • fYear
    2015
  • fDate
    11-13 March 2015
  • Firstpage
    2025
  • Lastpage
    2030
  • Abstract
    In this work, a theoretical neuronal model incorporating the aggregate effect of distributed delay, in terms of excitatory and inhibitory potentials, is proposed. Monte Carlo simulation based study have been done for the proposed model. A comparative study for spiking activities of proposed model with leaky integrate-and-fire (LIF) model, neuronal model with weak delay and neuronal model with strong delay have been performed, which has validated and suggested the effectiveness of proposed model. The proposed model is capable of firing various kind of spiking patterns. Similar kind of spiking patterns have been noticed in experimental data, viz. thalamus and cortex of an anesthetized macaque monkey by Goriset. al. [16], and, in neocortex pyramidal neuron by Hedrick and Waters [22].
  • Keywords
    Monte Carlo methods; delays; neural nets; LIF; Monte Carlo simulation; distributed delay; excitatory potential; inhibitory potential; leaky integrate-and-fire neuronal model; spiking pattern; Biomembranes; Brain modeling; Delays; Kernel; Mathematical model; Neurons; Numerical models; Distributed Delay; Excitatory Potential; Hypoexponential Distribution; Inhibitory Potential; LIF Model; Reliability; Spiking Pattern;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing for Sustainable Global Development (INDIACom), 2015 2nd International Conference on
  • Conference_Location
    New Delhi
  • Print_ISBN
    978-9-3805-4415-1
  • Type

    conf

  • Filename
    7100596