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
Link To Document :
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