Title :
Sensitivity analysis of spiking neuron synapse
Author :
Jing Yang ; Yanjun Liu
Author_Institution :
Coll. of Comput. Sci. & Technol., Hohai Univ., Nanjing, China
Abstract :
This paper researches on the sensitivity of spiking neuron synapse caused by the input perturbation. Due to the discontinuous character of the response function in real number space the discussion of the sensitivity is divided into two parts according to the different value of the neuron running time. One part is deriving a computational formula for the sensitivity which is defined as a mathematical expectation of absolute output deviation due to the input perturbation. Another part is analyzing the probability of response change caused by the perturbation. With these results it´s possible to investigate the working mechanism of the spiking neuron from a special aspect.
Keywords :
neural nets; perturbation techniques; probability; sensitivity analysis; input perturbation; probability; real number space; response function; sensitivity analysis; spiking neuron synapse; spiking neuron working mechanism; Biological information theory; Biological neural networks; Biological system modeling; Computational modeling; Firing; Neurons; Sensitivity; Perturbation; Sensitivity; Spiking neuron; Synapse;
Conference_Titel :
Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on
Conference_Location :
Harbin, Heilongjiang
Print_ISBN :
978-1-61284-087-1
DOI :
10.1109/EMEIT.2011.6023992