Sentence examples for memory prediction are from inspiring English sources
Those brain networks involved in intrusive memory prediction are presented.
The networks used by the machine learning classifier for intrusive memory prediction are in line with neurocircuitry models of PTSD patients (Admon et al., 2013; Rauch et al., 2006): hyper-responsivity in the amygdala and associated limbic regions involved in emotional processing and the dorsal anterior cingulate cortex have been found in PTSD samples.
We review literature suggesting that a system of memory-based prediction is central to human perception, thought and action, and forward the notion that many of the symptoms of schizophrenia are a result of a failure of this system.
When only one test was used to assess episodic memory, prediction of dementia was improved using a non-memory test, specifically the ratio of Trails B/A, considered to be a measure of executive control [ 18].
As we described earlier, the bank information for the prediction is updated via memory address (index part) and global history.
The first prediction came true for the problem state region, but not for the declarative memory region, while the counter-intuitive second prediction was confirmed by the experiment.
Now, when he arrives, your prediction is revealed to be inaccurate your memory no longer matches reality.
As deficits in memory-prediction function are proposed to lie more proximal to the biological causes of schizophrenia than deficits in standard cognitive constructs, tests that more directly probe memory-prediction function may be especially sensitive predictors of conversion in individuals at high-risk for schizophrenia.
On retrieval, consolidated long-term memory can be neutralized by extinction if the learned prediction was inaccurate1.
No prediction is ever proved wrong, just as no memory is ever inaccurate.
This prediction was derived from both experimental psychology and clinical theories that memory differentiates visual and verbal components (Paivio, 2007).
