Cortical and subcortical predictive dynamics and learning during perception, cognition, emotion and action

Grossberg, Stephen

doi:10.1098/rstb.2008.0307

Cited by 65 publications

(39 citation statements)

References 89 publications

(126 reference statements)

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“…Given that our paradigm relied on extended series where transitions could be learned with high accuracy over time (and predictions could, optimally, be correct 75% of the time), the lower connectivity seen here for the CR condition could reflect the outcome of more precise predictions. Within several theoretical approaches, correct predictions would be accompanied by fewer processing cycles between high-and low-level regions for arrival at the correct interpretation of the external stimuli (e.g., Friston, 2009;Grossberg, 2009). …”

Section: A Common System For Category and Location Regularitymentioning

confidence: 99%

“…Our work assumes that environmental statistics are vital information for systems that mediate predictive coding -a computation in which systems associated with higher level functions generate predictions about expected environmental states -that is, construct a model of expected neural activity in low-level sensory regions (Friston, 2009;Grossberg, 2009;Rao & Ballard, 1999;Summerfield & Egner, 2009). Satisfied -i.e., correct --predictions are associated with reduced prediction errors, and lower activity in sensory regions (Feldman & Friston, 2010;Kok, Rahnev, Jehee, Lau, & de Lange, 2012).…”

Section: Introductionmentioning

confidence: 99%

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Predictability of what or where reduces brain activity, but a bottleneck occurs when both are predictable

Davis

Hasson

2018

NeuroImage

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Detecting regularities in the sensory environment licenses predictions that enable adaptive behaviour. However, it is unclear whether predictions about object category, location, or both dimensions are mediated by overlapping systems, and relatedly, whether constructing predictions about both category and location is associated with processing bottlenecks. To examine this issue, in an fMRI study, we presented participants with image-series in which non-deterministic transition probabilities enabled predictions about either the location of the next image, its semantic category, both dimensions, or neither (the latter forming a "no-regularity" random baseline condition). Speaking to a common system, all three predictable conditions resulted in reduced BOLD activity in four clusters: left rostral anterior cingulate cortex; bilateral putamen, caudate and thalamus; right precentral gyrus, and left visual cortex. Pointing to a processing bottleneck, in some regions, a significant interaction between the two factors was found whereby category-predictable series were associated with lower activity -but only when location regularity was absent. Finally, category regularity decreased activation in areas of the ventral visual stream and semantic areas of lateral temporal cortex, and location regularity decreased activation in a dorsal fronto-parietal cluster, long implicated in the endogenous control of spatial attention. Our findings confirm and expand a role for dACC/dmPFC and striatum in monitoring or responding to uncertainty in the environment and point to a limited capacity bottleneck when multiple predictions are concurrently licensed.

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Section: A Common System For Category and Location Regularitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Predictability of what or where reduces brain activity, but a bottleneck occurs when both are predictable

Davis

Hasson

2018

NeuroImage

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“…Several theoretical models, however, elaborate this view of vision by claiming that the brain is not merely reactive but also "proactive" or "predictive" (Mumford, 1992;Rao and Ballard, 1999;Erlhagen, 2003;Bar, 2007;Enns and Lleras 2008;Bar, 2009;Friston and Kriebel 2009;Grossberg, 2009). By predictive we refer to the idea that the brain generates predictions that estimate the visual input it will most likely receive given the contextual information from the recent past.…”

Section: Introductionmentioning

confidence: 99%

Stimulus Predictability Reduces Responses in Primary Visual Cortex

Alink¹,

Schwiedrzik²,

Kohler³

et al. 2010

J. Neurosci.

419

398

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In this functional magnetic resonance imaging study we tested whether the predictability of stimuli affects responses in primary visual cortex (V1). The results of this study indicate that visual stimuli evoke smaller responses in V1 when their onset or motion direction can be predicted from the dynamics of surrounding illusory motion. We conclude from this finding that the human brain anticipates forthcoming sensory input that allows predictable visual stimuli to be processed with less neural activation at early stages of cortical processing.

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“…Some call for an overhaul of its central assumptions while others seek to deemphasize or accentuate the focus of one or the other aspect of this neat cycle, which is typically instantiated in terms of information processing computations. The credo of predictive coding models (Clark, 2013;Grossberg, 2009), for instance, is that thought and action systems are characterized by the drive to predict effectively and efficiently. Embodied cognition advocates stress the central role of the body and its interaction with the information-rich environment (Chemero, 2009;Wilson and Golonka, 2013), whereas the evolution within different aspects of the system that unfold over time are central to dynamical systems models (Beer, 2000;Gelfand and Engelhart, 2012).…”

Section: -Saul Bellow Henderson the Rain Kingmentioning

confidence: 99%

The imaginative mind

Abraham

2016

Human Brain Mapping

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The astounding capacity for the human imagination to be engaged across a wide range of contexts is limitless and fundamental to our day‐to‐day experiences. Although processes of imagination are central to human psychological function, they rarely occupy center stage in academic discourse or empirical study within psychological and neuroscientific realms. The aim of this paper is to tackle this imbalance by drawing together the multitudinous facets of imagination within a common framework. The processes fall into one of five categories depending on whether they are characterized as involving perceptual/motor related mental imagery, intentionality or recollective processing, novel combinatorial or generative processing, exceptional phenomenology in the aesthetic response, or altered psychological states which range from commonplace to dysfunctional. These proposed categories are defined on the basis of theoretical ideas from philosophy as well as empirical evidence from neuroscience. By synthesizing the findings across these domains of imagination, this novel five‐part or quinquepartite classification of the human imagination aids in systematizing, and thereby abets, our understanding of the workings and neural foundations of the human imagination. It would serve as a blueprint to direct further advances in the field of imagination while also promoting crosstalk with reference to stimulus‐oriented facets of information processing. A biologically and ecologically valid psychology is one that seeks to explain fundamental aspects of human nature. Given the ubiquitous nature of the imaginative operations in our daily lives, there can be little doubt that these quintessential aspects of the mind should be central to the discussion. Hum Brain Mapp 37:4197–4211, 2016. © 2016 Wiley Periodicals, Inc.

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Cortical and subcortical predictive dynamics and learning during perception, cognition, emotion and action

Cited by 65 publications

References 89 publications

Predictability of what or where reduces brain activity, but a bottleneck occurs when both are predictable

Predictability of what or where reduces brain activity, but a bottleneck occurs when both are predictable

Stimulus Predictability Reduces Responses in Primary Visual Cortex

The imaginative mind

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