English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

If interspike intervals are dependent the instantaneous firing rate does notcatch important features of spike trains. In this case the conditionalinstantaneous rate plays the role of the instantaneous firing rate for the caseof samples of independent interspike intervals. If the conditional distributionof the interspikes intervals is unknown, it becomes difficult to evaluate theconditional firing rate. We propose a non parametric estimator for theconditional instantaneous firing rate for Markov, stationary and ergodic ISIs.An algorithm to check the reliability of the proposed estimator is introducedand its consistency properties are proved. The method is applied to dataobtained from a stochastic two compartment model and to in vitro experimentaldata.

On Firing Rate Estimation for Dependent Interspike Intervals