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The replays depicted an upcoming path to a memory-guided goal irrespective of where the replay occurred.
Even if the replay can represent an upcoming path, disambiguation of the subtasks is still required for identifying the actual trial type.
A previous study (Pfeiffer and Foster, 2013) reported that the awake replays represent an upcoming path to a memory-guided goal, but did not examine erroneous behaviors.
Path preference estimated using the simple spatial reconstruction algorithm also showed an upcoming path to a memory-guided goal, similarly to the Bayesian decoder.
Similarly to the results obtained using the Bayesian decoder, the path representation estimated using the simple spatial reconstruction algorithm also largely predicted an upcoming path to a memory-guided goal.
Since the path representation suggested that the replay encodes an upcoming path to a memory-guided goal, I only examined the memory-guided trial types (i.e., VDLR, VDRL, NALR, NARL, DALR, and DARL).
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It will let you It will let your car know ideal Turn radius and speed For your upcoming left and It will adjust your car based on most recent road conditions in your Upcoming path as recorded by Other cars.
Some reactivations of place cell activity sequences during SWRs were related to the rats' upcoming path on the task.
My findings strongly support this view, with the additional finding that the upcoming path encoded in the awake replay can be linked to the animal's future actions.
I therefore conclude that the internally generated replay represents the actual trial type not only the upcoming path but also the actual subtask to be rewarded when the trial type can be identified, but otherwise it evenly represents all trial types thus far experienced on the reactivated path.
Frank et al. therefore proposed a unified interpretation in which replays provide information on possible upcoming paths to downstream brain structures such as the prefrontal cortex and nucleus accumbens, which can assess the value of different paths and make a decision about future actions (Carr et al., 2011).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com