The question, of course, is why mere vocalization of Amida's Name should hold the power to bring about birth into a buddha-field and eventual enlightenment, which in our present condition are virtually impossible to accomplish, even through the achievement of extensive learning, deep meditative states, heroic discipline, and compassionate action.
While the list of all specifications and features is extensive, learning the most important can help you narrow down which model is right for you.
An advantage of our sensor design, compared to other projects, is in use of an extensive learning set.
Perceptual learning has been the subject of extensive study in recent years.
This suggests that the anterior hippocampus might become independent of LPFC after extensive learning of O R associations and is not exclusively relevant for short-term O R encoding/retrieval processes accomplished in cooperation with LPFC as is the case under instruction-based learning conditions in the present study.
In the present study we directly investigated off-line memory processing immediately after repeated and extensive learning of a set of face-name associations.
Subjects' regional cerebral blood flow (rCBF) as a surrogate marker of neural activity during rest was measured by MR-based perfusion imaging in a sample of 14 healthy male subjects prior to (Pre2) and after (Post) extensive learning of 24 face-name associations within a selective reminding task (SR).
Consequently, it was predicted that brain perfusion during the sixteen minutes following the extensive learning of face-name associations should significantly change when compared against the same time interval of brain perfusion that preceded the learning phase.
On the other hand, brain plasticity may induced by extensive learning of medical students (Bosma et al. 2002), and it may happen until older age (Karp et al. 2006), yielding good physiological perspectives for long life learning (Bosma et al. 2002; Karp et al. 2006; Wilson et al. 2002), which is an important feature of keeping up professional medical competences.
We used our GIGOgene [ 61] tool to collect an extensive learning set of predicted human and mouse gene structures from which we extracted 179,079 donor and 34,258,282 donor-like signals (surrounding GT dinucleotide) plus 179,076 acceptor and 44,353,884 acceptor-like signals (surrounding AG dinucleotide).
This was presumably the consequence of our having mapped the neural discharge onto muscle activity sufficiently closely to that of the natural pattern such that extensive learning was not required to perform the basic task.
