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Andrés Canales-Johnson

Consciousness and Cognition Laboratory, Department of Psychology, University of Cambridge, Cambridge, UK.

5 papers in the library · 95 citations · publishing 2015-2022

Papers

Dissociable Neural Information Dynamics of Perceptual Integration and Differentiation during Bistable Perception.

Cerebral cortex (New York, N.Y. : 1991) June 30, 2020 Andrés Canales-Johnson, Alexander J Billig, Francisco Olivares et al. 51 citations

During auditory bistable perception, a sequence of tones can be heard either as a single stream (integrated percept) or as two parallel streams (differentiated percept). Neural recordings showed that when perceptual alternations arose spontaneously, the integrated percept corresponded to increased neural information integration and decreased neural information differentiation across frontoparietal regions, while the differentiated percept showed the opposite pattern. When perception was driven by an external change in the sound stream, neural oscillatory power distinguished between percepts but information measures did not. The findings demonstrate that integration and differentiation of conscious perception map onto theoretically motivated neural information signatures, suggesting a direct link between phenomenology and neurophysiology.

Drawing the experience dynamics of meditation

bioRxiv Preprint Server March 4, 2022 Barbara Jachs, Manuel Camino Garcia, Andrés Canales-Johnson et al. 21 citations preprint

A new method called Temporal Experience Tracing captures aspects of conscious experience continuously over time, allowing computational reconstruction of common experience states. Analyzing 852 meditations from 20 novice and 12 experienced meditators practicing Breathing, Loving-Kindness, and Open-Monitoring meditation, four recurring experience states were identified, averaging 6 minutes 46 seconds each. Three states matched the three meditation styles, and a fourth represented a low-motivational off-task state. Both groups spent more time in the task-related state during Loving-Kindness meditation and were less likely to transition to the off-task state compared to Breathing meditation. The method transforms the time dimension of subjective experience from narrative to measurable.

Ketamine and sleep modulate neural complexity dynamics in cats.

The European journal of neuroscience March 1, 2022 Claudia Pascovich, Santiago Castro-Zaballa, Pedro A M Mediano et al. 16 citations

Neural complexity, measured by the Lempel-Ziv (LZ) compression algorithm, is lowest during NREM sleep and similar during REM sleep and wakefulness in cats with intracranial electrodes. Under subanaesthetic doses of ketamine (5, 10, and 15 mg/kg), complexity follows an inverted U-shaped curve in some electrodes, primarily in prefrontal cortex, rising at low doses and falling as doses approach anaesthetic levels. The variability in the ketamine dose-response curve across cats and cortices was larger than across sleep stages, highlighting differential local dynamics. These results replicate findings in humans and other species, showing neural complexity is sensitive to changes in conscious state.

Ketamine and sleep modulate neural complexity dynamics in cats

bioRxiv Preprint Server June 25, 2021 Claudia Pascovich, Santiago Castro-Zaballa, Pedro A.M. Mediano et al. 7 citations preprint

Neural complexity, measured by the Lempel-Ziv compression algorithm, is lowest during NREM sleep and similar during REM sleep and wakefulness in cats with intracranial electrodes. Under subanesthetic doses of ketamine (5, 10, and 15 mg/kg), complexity follows an inverted U-shaped curve in some electrodes, especially in prefrontal cortex, rising at low doses and falling as doses approach anesthetic levels. Variability in the ketamine dose-response across cats and cortices is larger than sleep-stage differences, revealing distinct local dynamics. These results replicate findings in humans and other species, showing neural complexity is sensitive to conscious state changes and dose-dependent ketamine effects.

Neurophenomenology revisited: second-person methods for the study of human consciousness.

Frontiers in psychology January 1, 2015 Francisco A Olivares, Esteban Vargas, Claudio Fuentes et al.

Neurophenomenology aims to bridge qualitative and quantitative methods in consciousness research through reciprocal constraints between first-person accounts and neurophysiological data, but has faced methodological difficulties in systematically obtaining and analyzing subjective reports. Recently developed second-person methods—interview techniques that elicit verbal and non-verbal information—offer a way to obtain detailed subjective reports. This paper examines the potential of second-person methodologies for neurophenomenology, describes available interview techniques, analyzes two experimental studies that incorporate them, and identifies the validation problem of comparing results across participants and interviewers. The authors argue that second-person methods are a powerful approach for closing the gap between experiential and neurobiological levels of description.