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Embodied, Predictive & Interoceptive Framework

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Embodied, Predictive & Interoceptive Framework

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Context:   It has been hypothesized that both the sensory and motor systems perform this hierarchal inference, wherein efferent descending (backward–type) projections predict sensory input and afferent ascending (forward–type) projections convey prediction errors (Adams et al., 2013).
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    • Adams et al
    • 2013
Full context:   On the other hand, predictive coding is a framework implementing the Bayesian brain hypothesis (Friston, 2012) by applying Bayesian statistical theory to brain functioning (Tschacher et al., 2017). Experimentally, predictive coding describes neural responses and Bayesian inference behavior (Aitchison and Lengyel, 2017). In neural terms, predictive coding argues that descending (top-down) predictions are conveyed from higher cortical levels (encoded by synaptic activity) down to lower cortical levels, where they are compared to ascending (bottom-up) sensory information (Kube et al., 2020b). Notably, information only goes up the cortical hierarchy if a mismatch between the predicted and actual information occurs—i.e., prediction error (Williams, 2018). Therefore, top-down predictions constantly “explain away” bottom-up sensory information so that only the residual prediction errors can carry information forward in the brain (Clark, 2013; Walsh et al., 2020). It has been hypothesized that both the sensory and motor systems perform this hierarchal inference, wherein efferent descending (backward–type) projections predict sensory input and afferent ascending (forward–type) projections convey prediction errors (Adams et al., 2013). Notwithstanding this, the evidence underpinning predictive coding (concerning neurophysiological evidence) is mixed, albeit clear counterevidence is missing almost entirely (Walsh et al., 2020).
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Embodied, Predictive & Interoceptive Framework

Source
Michela Di Trani
Area
Mental Health
Mode
type
Depth
4
User
dane
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