Sentence examples for learning signal from inspiring English sources

The key component of the adaptive critic controller is the FBFN, which implements an associative learning network (ALN) to approximate unknown nonlinear system functions, and an adaptive critic network (ACN) to generate the internal reinforcement learning signal to tune the ALN.

Perhaps the most influential set of ideas regarding how the cerebellum works is the Marr Albus model [6, 7], which has led to a variety of models in which Purkinje cells act like a perceptron whose learning signal comes from the climbing fibers (e.g. [8 14]).

We have previously argued that task-irrelevant learning is due to a stimulus invariant learning signal and not a stimulus-directed attentional signal [1], [4], [7], [19].

It appears to be generated by the anterior cingulate cortex (ACC), and may reflect a negative reinforcement learning signal conveyed to the ACC via the mesencephalic dopamine system, which is used by the ACC to modify behavior [6].

Visual neurons, which are responsive to the weak visual motion-direction signals, may thus increase their responses to this visual stimulus via the learning signal and in doing so improve sensitivity to that motion-direction.

The precise contribution of cognitive control may in some cases drive participants to utilize an explicit strategy to improve performance while in other cases it may just aid in learning by adding another learning signal on top of an automatic (or implicit) motor learning process without the participants developing an explicit strategy.

Sachs, K. et al. Learning signaling network structures with sparsely distributed data.

Multiple factors motivated the companies to participate in voluntary environmental actions following a four driver model with five motivational mechanisms defined as Learning, Signaling, Economic, Legal and Moral.

And each board powered on average eight synthetic sensors, according to Harrison, who says the average accuracy across all of those deployments — after about a week of learning signals — was a pretty impressive 98percentnt.

Reinforcement learning model states that learning signals (prediction error) are used to update and monitor the value of choices.

Fictive errors are reinforcement learning signals based on hypothetical information about "what could have been".