Preplay of Successor States in V1
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2021-07-31
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en
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Abstract
Learning and anticipating sequential visual events is essential in daily life. Resulting
visual expectations have been shown to strongly in
uence perception. However, the
underlying neurocomputational representation of such sensory, relational knowledge is
less well understood. Drawing on insights from predictive representations in reinforcement
learning, we propose that the successor representation (SR) might be a suitable model
to explain sequential anticipatory activity in the visual cortex, called preplay. To test
this hypothesis, we derived predictions from the SR theory and investigated whether
preplay activity patterns in V1 are in line with those predictions. Indeed, using functional
magnetic resonance imaging (fMRI), we found that after learning a non-linear sequence of
four successively presented dots, presenting any of the dots individually elicits anticipatory
activity solely at the retinotopic locations of the future dots but not at those preceding
the shown dot. At the same time, we did not nd any evidence for preplay in V2 and
argue that low-level explanations are unlikely to cause the absence of preplay. Our results
indicate that preplay in V1 is consistent with the hypotheses derived from the SR and
that there might be a di erential involvement of V1 and V2 in predictively representing a
visual sequences.
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Faculteit der Sociale Wetenschappen