DocumentCode
2002265
Title
Effects of noise correlations on population coding
Author
Miura, Kiyotaka
Author_Institution
Grad. Sch. of Inf. Sci., Tohoku Univ., Sendai, Japan
fYear
2012
fDate
20-24 Nov. 2012
Firstpage
1072
Lastpage
1075
Abstract
Neural responses show trial-to-trial variability (=noise) even if the same sensory stimulus is presented. Therefore the brain is considered to average and reduce the noises in order to obtain accurate sensory representations. However, Zohary et al. (1994) theoretically showed that the noises cannot be reduced when inter-neuronal correlations in noises, if any, exist in the simulation of a simple mathematical model. Here we analyze the effects of noise correlations on population coding in extended, but still simple, mathematical models.
Keywords
brain; correlation methods; mathematical analysis; neurophysiology; brain; interneuronal correlations; mathematical model; neural responses; noise correlations; population coding; sensory representations; sensory stimulus; trial-to-trial variability;
fLanguage
English
Publisher
ieee
Conference_Titel
Soft Computing and Intelligent Systems (SCIS) and 13th International Symposium on Advanced Intelligent Systems (ISIS), 2012 Joint 6th International Conference on
Conference_Location
Kobe
Print_ISBN
978-1-4673-2742-8
Type
conf
DOI
10.1109/SCIS-ISIS.2012.6505071
Filename
6505071
Link To Document