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 Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

It is widely believed that the perceptual system of an organism is optimizedfor the properties of the environment to which it is exposed. A specificinstance of this principle known as the Infomax principle holds that thepurpose of early perceptual processing is to maximize the mutual informationbetween the neural coding and the incoming sensory signal. In this article, wepresent a method to implement this principle accurately with a local,spike-based, and continuous-time learning rule.

A Biologically Plausible Learning Rule for Perceptual Systems of organisms that Maximize Mutual Information