Content-based dissociation of hippocampal involvement in prediction

Kok, Peter; Rait, Lindsay I.; Turk‐Browne, Nicholas B.

doi:10.1101/568303

Cited by 7 publications

(7 citation statements)

References 74 publications

(88 reference statements)

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“…Interestingly, this selective activation of the deep layers matches that evoked by illusory Kanizsa figures, which have been suggested to be the result of an automatic structural expectation in the visual system [32]. However, since the expectations in the current experiment were signalled by a conditional cue, V1 activity is more likely to be the result of feedback from higher-order regions outside of the visual cortex, possibly involving the hippocampus [27,[50][51][52]. Speculatively, the fact that these very different types of "expectations" evoke highly similar layer-specific activity in visual cortex may point to a common computational role in V1.…”

Section: Discussionsupporting

confidence: 67%

Prior expectations evoke stimulus-specific activity in the deep layers of the primary visual cortex

et al. 2020

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The way we perceive the world is strongly influenced by our expectations. In line with this, much recent research has revealed that prior expectations strongly modulate sensory processing. However, the neural circuitry through which the brain integrates external sensory inputs with internal expectation signals remains unknown. In order to understand the computational architecture of the cortex, we need to investigate the way these signals flow through the cortical layers. This is crucial because the different cortical layers have distinct intra- and interregional connectivity patterns, and therefore determining which layers are involved in a cortical computation can inform us on the sources and targets of these signals. Here, we used ultra-high field (7T) functional magnetic resonance imaging (fMRI) to reveal that prior expectations evoke stimulus-specific activity selectively in the deep layers of the primary visual cortex (V1). These findings are in line with predictive processing theories proposing that neurons in the deep cortical layers represent perceptual hypotheses and thereby shed light on the computational architecture of cortex.

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Section: Discussionsupporting

confidence: 67%

Prior expectations evoke stimulus-specific activity in the deep layers of the primary visual cortex

et al. 2020

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“…Interestingly, this selective activation of the deep layers matches that evoked by illusory Kanizsa figures, which have been suggested to be the result of an automatic structural expectation in the visual system (Kok et al, 2016). However, since the expectations in the current experiment were signalled by a conditional cue, V1 activity is more likely to be the result of feedback from higherorder regions outside of the visual cortex, possibly involving the hippocampus (Hindy et al, 2016;Kok and Turk-Browne, 2018;Kok et al, 2020;Schapiro et al, 2012). The fact that these very different types of 'expectations' evoke highly similar layer-specific activity in visual cortex may point to a common computational role for these expectations in V1.…”

Section: Discussionsupporting

confidence: 67%

Prior expectations evoke stimulus templates in the deep layers of V1

Aitken

Menelaou

Warrington

et al. 2020

Preprint

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The way we perceive the world is strongly influenced by our expectations. In line with this, much recent research has revealed that prior expectations strongly modulate sensory processing.However, the neural circuitry through which the brain integrates external sensory inputs with internal expectation signals remains unknown. In order to understand the computational architecture of the cortex, we need to investigate the way these signals flow through the cortical layers. This is crucial because the different cortical layers have distinct intra-and interregional connectivity patterns, and therefore determining which layers are involved in a cortical computation can inform us on the sources and targets of these signals. Here, we used ultra-high field (7T) functional magnetic resonance imaging (fMRI) to reveal that prior expectations evoke stimulus templates selectively in the deep layers of the primary visual cortex. These results shed light on the neural circuit underlying perceptual inference.

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“…For example, visual space is represented in the human entorhinal cortex in grid-type cells [117][118][119], with a subgroup of these cells firing in a direction-selective fashion prior to an upcoming saccade [120]. In line with these predictive signals in the MTL, several fMRI studies have demonstrated that the hippocampus carries predictive signals for learned sequences [121][122][123][124][125]. For example, participants in one study [121] were trained to respond to a visual cue with an action (right-or left-button press), which was then systematically associated with a specific visual outcome stimulus.…”

Section: Mechanisms Supporting Motion Processing Through Perceptual Gapsmentioning

confidence: 97%