The effect of interspike interval statistics on the information gainunder the rate coding hypothesis
The question, how much information can be theoreticallygained from variable neuronal firing rate with respect to constantaverage firing rate is investigated.We employ the statistical concept of information based on the Kullback-Leibler divergence,and assume rate-modulated renewal processes as a mode...
Saved in:
Main Authors: | Shinsuke Koyama, Lubomir Kostal |
---|---|
Format: | Article |
Language: | English |
Published: |
AIMS Press
2013-08-01
|
Series: | Mathematical Biosciences and Engineering |
Subjects: | |
Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2014.11.63 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Finding influential nodes in complex networks based on Kullback–Leibler model within the neighborhood
by: Guan Wang, et al.
Published: (2024-06-01) -
Assessing the Impact of Physical Activity on Dementia Progression Using Clustering and the MRI-Based Kullback–Leibler Divergence
by: Agnieszka Wosiak, et al.
Published: (2025-01-01) -
ϵ-Confidence Approximately Correct (ϵ-CoAC) Learnability and Hyperparameter Selection in Linear Regression Modeling
by: Soosan Beheshti, et al.
Published: (2025-01-01) -
Estimation and Model Misspecification for Recurrent Event Data with Covariates Under Measurement Errors
by: Ravinath Alahakoon, et al.
Published: (2024-12-01) -
Domain Alignment Dynamic Spectral and Spatial Feature Fusion for Hyperspectral Change Detection
by: Xuexiang Qin, et al.
Published: (2025-01-01)