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

The dynamical states and the spatio-temporal patterns in balanced recurrent neural networks are considered a key element for the understanding of biological information processing and memory. The monitoring of many individual neurons has become feasible with the technical development of multi-electrodes arrays. However, for practical use of those arrays as bidirectional neuro-interfaces, feedback signals have to be generated in real-time to integrate the electrodes into the existing spatio-temporal context as a new information source. A recent idea is the generation of feedback signals by an artificial neural network with similar dynamic properties as the biological one. The artificial network will pre-process electrode signals and generate adequate feedback signals for the biological network. The artificial network is more transparent for advanced methods to analyse synchronous firing patterns and reacts more stably to external input signals.

Information transmission between recurrent neural networks by sparsely electrical connections