2015
DOI: 10.1098/rstb.2014.0169
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Cerebral hierarchies: predictive processing, precision and the pulvinar

Abstract: This paper considers neuronal architectures from a computational perspective and asks what aspects of neuroanatomy and neurophysiology can be disclosed by the nature of neuronal computations? In particular, we extend current formulations of the brain as an organ of inference—based upon hierarchical predictive coding—and consider how these inferences are orchestrated. In other words, what would the brain require to dynamically coordinate and contextualize its message passing to optimize its computational goals?… Show more

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Cited by 356 publications
(279 citation statements)
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References 79 publications
(122 reference statements)
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“…For example, an agent's generative model can be composed of a simple dynamical system [117,118] (e.g., a pendulum) that guides the active sampling of information, in analogy to rodent whisking behaviour. In this example, the pendulum may jointly support the control of a simple whisker-like sensor and the prediction of a sensory event following its protraction (with a certain amplitude)-or a sensorimotor contingency between whisker protraction and the receipt of sensory stimuli.…”
Section: Model-based Approaches To Active Perception and Control: Conmentioning
confidence: 99%
“…For example, an agent's generative model can be composed of a simple dynamical system [117,118] (e.g., a pendulum) that guides the active sampling of information, in analogy to rodent whisking behaviour. In this example, the pendulum may jointly support the control of a simple whisker-like sensor and the prediction of a sensory event following its protraction (with a certain amplitude)-or a sensorimotor contingency between whisker protraction and the receipt of sensory stimuli.…”
Section: Model-based Approaches To Active Perception and Control: Conmentioning
confidence: 99%
“…However, I contend that enough theorists use the concept in a manner which is best understood as involving the tracking of mere causal changes [e.g. (Clark 2016;Hohwy 2013;Kanai et al 2015;Seth 2014)] that the initial premise of my conditional argument is substantive and its adoption is motivated. My thanks to an anonymous reviewer for both: bringing this potential objection to my attention; and, suggesting the adoption of the above conditional argument in order to avoid it.…”
Section: Benefit Four: Sprevak's Ibementioning
confidence: 99%
“…One of the pioneers of magneto-encephalography and her colleague (Hari and Parkkonen) address this here [14] as does (Zeki) [15] in his discussion of the asynchronous brain. The time factor is also critical in the papers by another pioneer of imaging studies, Karl Friston and his co-workers [16], which looks at brain activity computationally, emphasizing in particular attention and the ubiquitously important predictive coding, as well as in the paper by Gollo et al [17], which looks at the synchronization of activity that is critical in mood and introspection. Finally, the overall and seemingly intractable problem of consciousness, never far in any profound thinking about the brain, is covered here by two central figures (Tononi and Koch) in the study of consciousness [18] in the context of Integrated Information Theory.…”
mentioning
confidence: 99%