Following the suggestion that midbrain dopaminergic neurons encode a signal, known as a 'reward prediction error', used by artificial intelligence algorithms for learning to choose advantageous actions, the study of the neural substrates for reward-based learning has been strongly influenced by computational theories.
In this article, our main hypothesis is that estimating 3D poses from 2D silhouettes can be advantageous for action recognition.
Slow features can be learned using deep learning, which is advantageous for action recognition [2]; however, the effectiveness of deep learning over handcrafted systems is still not evident.
Our findings lend weight to the suggestion that risk-taking in adolescence cannot solely be explained by an inability to gauge the most advantageous course of action, for if this were the case children would take more risks.
Comparing the combination feedforward-feedback control to feedback alone reveals that adding feedforward action is advantageous only in rejecting the temperature disturbance.
Administering ketamine as an adjunct to physical therapies may also be advantageous (besides its analgesic action) because of the potential for increased cortical synaptic plasticity being ascribed to NMDA antagonists from the depression field.
Such a mode of action may be advantageous since multivalent aggregates are likely to form more stable complexes with viral glycoproteins.
It suggests modes of action that are advantageous especially in lupus patients.
Given the exaggerated death rate from cardiovascular (CV) events in BD, this action potentially is advantageous in the management of BD.
Therefore, the combination of ADI and GEM is advantageous because of their complementary action, and will offer a novel treatment strategy for pancreatic cancer.
In other words, certain actions that are advantageous to an actor may also diminish the fitness of everyone else in the group, ultimately decreasing the fitness of everyone involved: including themselves.
