Sentence examples for bidirectional learning from inspiring English sources

This concept of bidirectional learning between rich and poor countries is increasingly being explored in emerging literature [ 3- 6].

Further, evidence-policy strengthening is an area ripe for bidirectional learning within and between partnership, in keeping with the principles and spirit of global health today.

This journal's dedicated open-access series on reverse innovation in global health systems aims to challenge conventional thinking by collecting evidence of bidirectional learning beyond the Ebola response [ 11, 12].

For CE interventions that had positive impacts, components closely associated with improved health and health behaviours included incorporating the voice and agency of indigenous and ethnic communities in the research protocol, real power-sharing, bidirectional learning, and needs assessment.

Key CE components that affected health outcomes included real power-sharing, collaborative partnerships, bidirectional learning, incorporating the voice and agency of beneficiary communities in research protocol, and using bicultural health workers for intervention delivery.

We define a bidirectional learning rule dependent on an initial firing rate θ: excitability is increased by a step function h (with stepsize σ) when A n is greater than θ, excitability is decreased when A n is lower than θ ("positive learning").

In our study sites amongst the array of criteria in the literature good public engagement boiled down to two key themes: enabling bidirectional deliberative learning and providing community benefit.

Further, our novel experimental design allowed participants even to simultaneously learn bidirectional control over two functionally distinct brain regions.

Extending this assumed bidirectional (LTP or LTD) synaptic learning mechanism at PF→PC, Rancillac and Crepel [38] observed similar, but opposite sign, learning at PF→IN synapses: LTP after PF-CF coupling, LTD after PF alone.

Hebbian-like feedback is an iterative control mechanism utilizing activity-dependent bidirectional or dual-processes associative learning rules to either strengthen or weaken nodal connections.

The neurons code reward value as it differs from prediction, thus fulfilling the basic requirement for a bidirectional prediction error teaching signal postulated by learning theory.