Optimal temporal resolution for decoding of visual stimuli in inferior temporal cortex

Author

Babolhavaeji, A. ; Karimi, S. ; Ghaffari, A. ; Hamidinekoo, A. ; Vosoughi-Vahdat, B.

Author_Institution

Electr. Eng. Dept., Sharif Univ. of Technol., Tehran, Iran

fYear

2014

Firstpage

109

Lastpage

112

Abstract

Inferior temporal (IT) cortex is the most important part of the brain and plays an important role in response to visual stimuli. In this study, object decoding has been performed using neuron spikes in IT cortex region. Single Unit Activity (SUA) was recorded from 123 neurons in IT cortex. Pseudo-population firing rate vectors were created, then dimension reduction was done and an Artificial Neural Network (ANN) was used for object decoding. Object decoding accuracy was calculated for various window lengths from 50 ms to 200 ms and various window steps from 25 ms to 100 ms. The results show that 150 ms length and 50 ms window step size gives an optimum performance in average accuracy.

Keywords

biomedical measurement; brain; decoding; feature extraction; medical signal processing; neural nets; neurophysiology; signal classification; signal resolution; vectors; visual evoked potentials; ANN; IT cortex neuron spike; SUA recording; artificial neural network; average accuracy; brain; dimension reduction; inferior temporal cortex; object decoding accuracy; optimal temporal resolution; optimum performance; pseudo-population firing rate vector; single unit activity recording; visual stimuli decoding; visual stimuli response; window length variation; window step size variation; Biomedical engineering; Conferences; Decision support systems; Educational institutions; Classification; Inferior temporal (IT) cortex; Neural decoding; Object decoding; Visual stimuli;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Engineering (ICBME), 2014 21th Iranian Conference on

Print_ISBN

978-1-4799-7417-7

Type

conf

DOI

10.1109/ICBME.2014.7043903

Filename

7043903