The Implementation of Predictions During Sequencing

Molinari, Marco; Masciullo, Marcella

doi:10.3389/fncel.2019.00439

Cited by 15 publications

(14 citation statements)

References 119 publications

(158 reference statements)

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“…Consistent with this hypothesis, current theories of cerebellar function posit that such predictive mechanisms may generalize to perceptual activity 7,42,[111][112][113][114] . For instance, in visual perception, the cerebellum is thought to be critical for predicting incoming sensory information based on sequence detection and updating predictions based on the statistics of the sensory environment [115][116][117][118][119][120] . Visual information is conveyed polysynaptically from visual association cortical areas to cerebellar lobules VI and VII via the pons 121,122 .…”

Section: Coordination Of Cortical and Cerebellar Connectivity Gradientsmentioning

confidence: 99%

Functional connectivity gradients as a common neural architecture for predictive processing in the human brain

Katsumi

Kamona

Zhang

et al. 2021

Preprint

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Predictive processing is emerging as a common neurocomputational hypothesis to account for diverse psychological functions subserved by a brain, enabling characterization of computational capacities of its distinct substructures. However, the literature is currently lacking a systems-level framework for understanding brain structure-function relationships based on the unified computational principles. Here, we contribute to this framework by examining gradients of functional connectivity as a low dimensional spatial representation of functional variation within a given structure. Specifically, we investigated functional connectivity gradients in the cerebral cortex, the cerebellum, and the hippocampus using resting-state functional MRI data collected from large samples of healthy young adults. We then evaluated the degree to which these structures share common principles of functional organization by assessing the correspondence of their gradients. We show that the organizing principles of these structures primarily follow two functional gradients consistent with the existing accounts of predictive processing: A model-error gradient that describes the flow of prediction and prediction error signals, and a model-precision gradient that differentiates regions involved in the representation and attentional modulation of such signals in the cerebral cortex. Using these gradients, we also demonstrate triangulation of functional connectivity involving distinct subregions of the three structures, suggesting the existence of parallel functional circuits that may subserve different aspects of predictive processing in the brain. These findings allow formulation of novel computational hypotheses about the functional relationships between the cerebral cortex, the cerebellum, and the hippocampus that may be instrumental for understanding the brain's dynamics within its large-scale predictive architecture.

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Section: Coordination Of Cortical and Cerebellar Connectivity Gradientsmentioning

confidence: 99%

Functional connectivity gradients as a common neural architecture for predictive processing in the human brain

Katsumi

Kamona

Zhang

et al. 2021

Preprint

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“…, 2016 ). This mentalizing ability allows us to use these mental state inferences as a basis to make reliable predictions about future behaviors of others and outcomes of interactions, so that we can anticipate future social encounters to our (mutual) benefit, which is arguably the ultimate goal of social behaviors ( Frith and Frith, 2006 ; Pisotta and Molinari, 2014 ; Molinari and Masciullo, 2019 ), and subsequently plan our actions and responses accordingly. A helpful way to predict how people might behave is by knowing their personality traits ( Hassabis et al.…”

Section: Introductionmentioning

confidence: 99%

Social thinking is for doing: the posterior cerebellum supports predictions of social actions based on personality traits

Haihambo

Baeken

et al. 2021

Social Cognitive and Affective Neuroscience

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Can we predict the future by reading others´ minds? This study explores whether attributing others’ personality traits facilitate predictions about their future actions and the temporal order of these future actions. Prior evidence demonstrated that the posterior cerebellar Crus is involved in identifying the temporal sequence of social actions and the person’s traits they imply. Based on this, we hypothesized that this area might also be recruited in the reverse process, that is, knowledge of another person’s personality traits supports predictions of temporal sequences of others’ actions. In this study, participants were informed about the trait of a person, and then had to select actions that were consistent with this information and arrange them in the most likely temporal order. As hypothesized, the posterior cerebellar Crus 1 and 2 were strongly activated when compared to a control task which involved only the selection of actions (without temporal ordering) or which depicted non-social objects and their characteristics. Our findings highlight the important function of the posterior cerebellar Crus in the prediction of social action sequences in social understanding.

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“…Predictive processing is a mature field of inquiry in psychology and cognitive neuroscience ( 49 – 52 ), where diverse methodologies have established the brain as a prospection device that interprets sensory information with the express purpose of generating expectations—and thereby obtaining a level of preparedness—for the immediately relevant future ( 49 – 61 ). Early studies of prediction coding or “sensory anticipation” were primarily motivated by experiments that attempted to resolve fundamental questions about how the visual field manages to remain stable with the constant image-displacement introduced by physical activity, head and eye movements, and blinking ( 62 , 63 ).…”

Section: Introductionmentioning

confidence: 99%

Circadian Responses to Light-Flash Exposure: Conceptualization and New Data Guiding Future Directions

Wong

Fernandez

2021

Front. Neurol.

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A growing number of studies document circadian phase-shifting after exposure to millisecond light flashes. When strung together by intervening periods of darkness, these stimuli evoke pacemaker responses rivaling or outmatching those created by steady luminance, suggesting that the circadian system's relationship to light can be contextualized outside the principle of simple dose-dependence. In the current review, we present a brief chronology of this work. We then develop a conceptual model around it that attempts to relate the circadian effects of flashes to a natural integrative process the pacemaker uses to intermittently sample the photic information available at dawn and dusk. Presumably, these snapshots are employed as building blocks in the construction of a coherent representation of twilight the pacemaker consults to orient the next day's physiology (in that way, flash-resetting of pacemaker rhythms might be less an example of a circadian visual illusion and more an example of the kinds of gestalt inferences that the image-forming system routinely makes when identifying objects within the visual field; i.e., closure). We conclude our review with a discussion on the role of cones in the pacemaker's twilight predictions, providing new electrophysiological data suggesting that classical photoreceptors—but not melanopsin—are necessary for millisecond, intermediate-intensity flash responses in ipRGCs (intrinsically photosensitive retinal ganglion cells). Future investigations are necessary to confirm this “Cone Sentinel Model” of circadian flash-integration and twilight-prediction, and to further define the contribution of cones vs. rods in transducing pacemaker flash signals.

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The Implementation of Predictions During Sequencing

Cited by 15 publications

References 119 publications

Functional connectivity gradients as a common neural architecture for predictive processing in the human brain

Functional connectivity gradients as a common neural architecture for predictive processing in the human brain

Social thinking is for doing: the posterior cerebellum supports predictions of social actions based on personality traits

Circadian Responses to Light-Flash Exposure: Conceptualization and New Data Guiding Future Directions

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