Dissociable neural information dynamics of perceptual integration and differentiation during bistable perception

Canales‐Johnson, Andrés; Billig, Alexander J.; Olivares, Francisco; González, Ángel; García, María del Carmen García; Silva, Walter; Ciraolo, Carlos; Vaucheret, Esteban; Mikulan, Ezequiel; Ibáñez, Agustín; Noreika, Valdas; Chennu, Srivas; Bekinschtein, Tristán A.

doi:10.1101/133801

Cited by 10 publications

(22 citation statements)

References 68 publications

(76 reference statements)

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“…On the other hand, before the percept was reported as differentiated (two stimuli, each moving sideways in a different direction), we observed higher information differentiation of anterior signals, but not posterior signals, before the perceptual switch indicated by the button press. These results indicate that our information based measures derived from electrophysiological activity capture and track the phenomenology of the dominant percept during perceptual ambiguity (see also for (28). When perceptual changes were inferred from eye-movements during passive viewing, we observed that when percepts changed from differentiated to integrated, we still observed increased integration in the brain, uniquely in the feedback direction (from anterior to posterior signals).…”

Section: Discussionsupporting

confidence: 67%

Feedback information sharing in the human brain reflects bistable perception in the absence of report

Canales‐Johnson

Beerendonk

Chennu

et al. 2021

Preprint

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In the search for the neural basis of conscious experience, perception and its cognitive consequences are typically confounded as neural activity is recorded while participants explicitly report what they experience. Here we present a novel way to disentangle perception from report using eye-movement analysis techniques based on convolutional neural networks and neurodynamical analyses based on information theory. We use a visual bistable stimulus that instantiates two well-known properties of conscious perception: integration and differentiation. At any given moment, observers either experience the stimulus as one integrated unitary percept or as two differentiated objects that are clearly distinct from each other. Using electroencephalography, we show that measures of neural information dynamics of directed information integration and differentiation closely follow participants experience when perceptual transitions were reported. We observed increased directed information from anterior to posterior electrodes (front to back) leading up to the moment the stimulus was reported to switch to the integrated percept and higher information differentiation of anterior signals leading up to reporting the differentiated percept. Crucially, neural integration dynamics were closely linked to perception and even observed in a no-report condition when perceptual transitions were inferred from eye-movements. In contrast, the link between perceptual transitions and neural differentiation was observed solely in the active report condition. Our results therefore suggest a differential role of anterior-posterior network communication vs anterior information differentiation during perception and reporting: while front to back directed information is associated with changes in the content of perception, frontal information differentiation reflects cognitive processes that are consequential of perceptual transitions, not perception per se.

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Section: Discussionsupporting

confidence: 67%

Feedback information sharing in the human brain reflects bistable perception in the absence of report

Canales‐Johnson

Beerendonk

Chennu

et al. 2021

Preprint

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“…First, a neural measure of information sharing could in principle capture directly the information integration between stimulus content and stimulus location necessary for generating the conflict effect in our task. Second, the dynamic nature of neural information integration (Imperatori et al, 2019;Canales-Johnson et al, 2020) may be able to capture the reconfiguration of neural networks during the transition from an alert to a drowsy state of mind. Finally, as the reorganization of networks could be reflected in the need for larger information capacity of the brain when challenged (by drowsiness), the measure chosen can be conceptually framed as deriving from a computational principle.…”

Section: Discussionmentioning

confidence: 99%

“…We reasoned that the neural signatures of conflict may involve changes in connectivity in a wide network of brain regions instead of relatively local power changes. Thus, we hypothesized that a neural metric specifically indexing distributed neural information integration (weighted Symbolic Mutual Information (wSMI); King et al, 2013;Sitt et al, 2014;Imperatori et al, 2019;Canales-Johnson et al, 2020) could in principle capture the conflict effect during drowsiness. wSMI has been shown to capture network reconfiguration both in healthy (Imperatori et al, 2019) and pathological (King et al, 2013;Sitt et al, 2014) states of alertness.…”

Section: Distributed Theta-band Information Sharingmentioning

confidence: 99%

“…wSMI has been shown to capture network reconfiguration both in healthy (Imperatori et al, 2019) and pathological (King et al, 2013;Sitt et al, 2014) states of alertness. Importantly, due its sensitivity to highly non-linear coupling (Imperatori et al, 2019), wSMI has been useful for tracking the neural information dynamics underlying perceptual content formation (Canales-Johnson et al, 2020). Thus, we performed this analysis as a possible post-hoc hypothesis for the reconfiguration of the underlying networks supporting cognitive control.…”

Section: Distributed Theta-band Information Sharingmentioning

confidence: 99%

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Decreased Alertness Reconfigures Cognitive Control Networks

et al. 2020

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The normal variability in alertness we experience in daily tasks is rarely taking into account in cognitive neuroscience. Here we studied neurobehavioral dynamics of cognitive control with decreasing alertness. We used the classic Simon Task where participants hear the word "left" or "right" in the right or left ear, eliciting slower responses when the word and the side are incongruent -the conflict effect. Participants performed the task both while fully awake and while getting drowsy, allowing for the characterisation of alertness modulating cognitive control. The changes in the neural signatures of conflict from local theta oscillations to a longdistance distributed theta network suggests a reconfiguration of the underlying neural processes subserving cognitive control when affected by alertness fluctuations.

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“…The notion of applying algorithmic complexity to EEG signals has been successfully employed to discriminate between states of consciousness (83)(84)(85)(86). One such algorithmic complexity is the Kolmogorov Complexity (K-complexity), which can be described as the ultimate compressed version or minimum description length of an object, delivering its absolute information content (87).…”

Section: Information Distancementioning

confidence: 99%

Direct brain recordings reveal continuous encoding of structure in random stimuli

Fuhrer

Glette

Ivanović

et al. 2021

Preprint

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The brain excels at processing sensory input, even in rich or chaotic environments. Mounting evidence attributes this to the creation of sophisticated internal models of the environment that draw on statistical structures in the unfolding sensory input. Understanding how and where this modeling takes place is a core question in statistical learning. It is unknown how this modeling applies to random sensory signals. Here, we identify conditional relations, through transitional probabilities, as an implicit structure supporting the encoding of a random auditory stream. We evaluate this representation using intracranial electroencephalography recordings by applying information-theoretical principles to high-frequency activity (75-145 Hz). We demonstrate how the brain continuously encodes conditional relations between random stimuli in a network outside of the auditory system following a hierarchical organization including temporal, frontal and hippocampal regions. Our results highlight that hierarchically organized brain areas continuously attempt to order incoming information by maintaining a probabilistic representation of the sensory input, even under random stimuli presentation.

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Dissociable neural information dynamics of perceptual integration and differentiation during bistable perception

Abstract: At any given moment, we experience a perceptual scene as a single whole and yet we may

Cited by 10 publications

References 68 publications

Feedback information sharing in the human brain reflects bistable perception in the absence of report

Feedback information sharing in the human brain reflects bistable perception in the absence of report

Decreased Alertness Reconfigures Cognitive Control Networks

Direct brain recordings reveal continuous encoding of structure in random stimuli

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