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In new research, monkeys learned a task almost as sophisticated--they learned a sequence of images by figuring out the successful strategy of another monkey.
Participants completed a version of the serial reaction time task (SRTT) in which they learned a sequence of finger movements using visual cues, and their performance was measured by response time.
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This paper presents a set of methods by which a learning agent can learn a sequence of increasingly abstract and powerful interfaces to control a robot whose sensorimotor apparatus and environment are initially unknown.
A key problem in reinforcement learning is how an animal is able to learn a sequence of movements when the reward signal only occurs at the end of the sequence.
We propose a hybrid architecture of convolution neural networks (CNN) and stacked autoencoders (SAE) to learn a sequence of causal actions that nonlinearly transform an input visual pattern or distribution into a target visual pattern or distribution with the same support and demonstrated its practicality in a real-world engineering problem involving the physics of fluids.
Indeed, it is conceivable that participants on the stereoscopic SL task also learned the sequence of response locations during training (for SOC1, L R R L L R L R L R R L), particularly given that the learning of response locations can be independent of learning a sequence of visuospatial locations [16], [17], [48].
Kuriyama et al. [14] studied the effect of sleep on learning a sequence of typing movements, and claimed that the slowest transitions – the "problem-points" in the sequence most in need of improvement – were the ones that showed the greatest improvement in speed following sleep.
We extended previous findings by including pursuit motor learning, a classic procedural task that does not involve learning a sequence of discrete elements.
Using a finger-tapping task (learning a sequence of taps) they first demonstrated that a period of sleep can enhance performance (recollection).
The cued platform task can be solved by combining praxic and taxic strategies, for which mice learn a sequence of movements in response to a stimulus or a proximal cue (Fraenkel and Gunn, 1961).
In the serial TI paradigm subjects learn a sequence of overlapping premise pairs (i.e., A > B > C > D > E) and inference (B > D) rests on knowledge of stimulus order.
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