Crossref journal-article
MIT Press - Journals
Neural Computation (281)
Abstract

Spike sequences recorded from four cortical areas of an awake behaving monkey were examined to explore characteristics that vary among neurons. We found that a measure of the local variation of interspike intervals, LV, is nearly the same for every spike sequence for any given neuron, while it varies significantly among neurons. The distributions of LV values for neuron ensembles in three of the four areas were found to be distinctly bimodal. Two groups of neurons classified according to the spiking irregularity exhibit different responses to the same stimulus. This suggests that neurons in each area can be classified into different groups possessing unique spiking statistics and corresponding functional properties.

Bibliography

Shinomoto, S., Shima, K., & Tanji, J. (2003). Differences in Spiking Patterns Among Cortical Neurons. Neural Computation, 15(12), 2823–2842.

Dates
Type When
Created 21 years, 10 months ago (Nov. 2, 2003, 1:29 p.m.)
Deposited 4 years, 5 months ago (March 12, 2021, 4:50 p.m.)
Indexed 3 weeks, 5 days ago (Aug. 7, 2025, 4:26 p.m.)
Issued 21 years, 9 months ago (Dec. 1, 2003)
Published 21 years, 9 months ago (Dec. 1, 2003)
Published Print 21 years, 9 months ago (Dec. 1, 2003)
Funders 0

None

@article{Shinomoto_2003, title={Differences in Spiking Patterns Among Cortical Neurons}, volume={15}, ISSN={1530-888X}, url={http://dx.doi.org/10.1162/089976603322518759}, DOI={10.1162/089976603322518759}, number={12}, journal={Neural Computation}, publisher={MIT Press - Journals}, author={Shinomoto, Shigeru and Shima, Keisetsu and Tanji, Jun}, year={2003}, month=dec, pages={2823–2842} }