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

Various mechanisms of neuronal gain control (neuromodulation, synaptic, noise and neuronal synchronization) affect the stimulus-response transfer function of cortical neurons [1]. In light of the role of neurotransmitters, such as dopamine, in affecting noise in neural information processing [2], understanding how neuromodulation may interact (or tradeoff) with other mechanisms of gain control, such as neuronal synchronicity, becomes paramount [3,4]. Specifically, we investigate this interaction by making use of the phenomenon of stochastic resonance (SR), which states that at certain optimal levels (background) noise is beneficial for neuronal information processing [3,5], thereby acting as another gain mechanism. In an early study, we showed that key characteristics of stochastic resonance (the peak of the SR function as well as the extent of the right-shift of the function) can be affected by a parameter simulating dopaminergic modulation efficacy: simulated neural networks with suboptimal neuromodulation, though still exhibiting the SR phenomena, the peak of SR is reduced, requiring more noise to arrive at the same SR effect [6]. An unresolved question is to what extent noise, its SR characteristics and systems-level neuronal information processing, such as neuronal synchronicity, are affected by deficient neuromodulation [2,6].

Tradeoffs between neuromodulation and synchronized firing in affecting neuronal gain control