Conscious Perception as Integrated Information Patterns in Human Electrocorticography.

A pattern of integrated information—a measure inspired by integrated information theory—corresponds to what a person consciously sees, whereas broader information measures such as mutual information and entropy do not. Intracranial recordings from six neurosurgical patients showed that, in object-sensitive brain areas, the hierarchical causal structure of neural interactions matched the subjects' conscious percepts when they viewed faces or objects under conditions that dissociate perception from the physical stimulus (continuous flash suppression and backward masking). Unsupervised classification confirmed that integrated information patterns, but not other information measures, clustered according to the subjects' visual experiences. The findings suggest that locally integrated information plays a key role in the neural basis of conscious object perception.

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Abstract

A significant problem in neuroscience concerns the distinction between neural processing that is correlated with conscious percepts from processing that is not. Here, we tested if a hierarchical structure of causal interactions between neuronal populations correlates with conscious perception. We derived the hierarchical causal structure as a pattern of integrated information, inspired by the integrated information theory (IIT) of consciousness. We computed integrated information patterns from intracranial electrocorticography (ECoG) from six human neurosurgical patients with electrodes implanted over lateral and ventral cortices. During recording, subjects viewed continuous flash suppression (CFS) and backward masking (BM) stimuli intended to dissociate conscious percept from stimulus, and unmasked suprathreshold stimuli. Object-sensitive areas revealed correspondence between conscious percepts and integrated information patterns. We quantified this correspondence using unsupervised classification methods that revealed clustering of visual experiences with integrated information, but not with broader information measures including mutual information and entropy. Our findings point to a significant role of locally integrated information for understanding the neural substrate of conscious object perception.