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In this study, we present experiments to directly test these contrasting predictions: If feature biases yield robust facilitation that persists once the bias is long gone, this is in line with the predictions of memory retrieval, and thereby agree with an episodic retrieval account of priming.
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Prediction of memory rehabilitation outcomes in traumatic brain injury by using functional magnetic resonance imaging.
Moreover, our mathematical model allows long-term prediction of memory cell numbers from a few early experimental measurements.
Prediction of memory change may reflect both the functional integrity of the to-be-resected temporal lobe as well as the capacity of the contralateral temporal lobe to maintain memory function.
The prediction model of memory interprets this finding as a demonstration that hippocampal prediction error messages that normally arrive in striatum increase the analysis load on striatal prediction analysis networks.
Our prediction model of memory systems offers some new insights.
A prediction model of memory provides additional insight.
This discussion also highlights future directions for research that test the prediction model of memory.
The proposed prediction model of memory asserts that different brain areas to mediate different forms of memory because they support different type of prediction analysis.
By this logic, the prediction model of memory views the vertebrate brain as having a single memory system that is continuously integrating different sorts of prediction analyses.
The intrinsic regulation attributed to the components of a prediction model of memory is remarkably analogous to the homeostatic regulatory system that has been shown to operate at the synaptic level (Turrigiano, 1999; Marder and Goaillard, 2006; Turrigiano, 2011).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com