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Trends Cogn Sci

ISSN 1364-6613; 1879-307x;

4 papers in the library · 470 citations · publishing 2020-2026

Papers

Dimensions of Animal Consciousness.

Trends Cogn Sci August 20, 2020 Jonathan Birch, Alexandra K. Schnell, Nicola S. Clayton 394 citations

A multidimensional framework is proposed for understanding how consciousness varies across animal species. Rather than ranking species on a single scale of consciousness, the framework identifies five key dimensions: perceptual richness, evaluative richness, integration at a time, integration across time, and self-consciousness. For each dimension, existing experiments are reviewed and future experiments suggested. By assessing a species against each dimension, a distinctive consciousness profile can be constructed, indicating that no species is simply more or less conscious than another.

A complex systems perspective on psychedelic brain action.

Trends Cogn Sci February 3, 2023 Manesh Girn, Fernando E. Rosas, Richard E. Daws et al. 76 citations

Psychedelics reduce the functional segregation of large-scale brain networks, but findings have been largely inconsistent. A complexity-science perspective that emphasizes the distributed, interactional, and dynamic nature of brain function may explain these inconsistencies. The authors propose that psychedelics induce a mode of brain function that is more dynamically flexible, diverse, integrated, and tuned for information sharing, consistent with greater criticality. This 'meta' perspective can unify past findings and guide intuitions toward compelling mechanistic models.

Testing circuit-level theories of consciousness in humans.

Trends Cogn Sci September 20, 2025

Most knowledge about the neural basis of consciousness comes from large-scale brain activity patterns measured with fMRI or M/EEG, while circuit-level mechanisms—which likely underlie those larger patterns—remain poorly understood, especially in humans. This review examines circuit-level theories such as apical amplification theory and dendritic integration theory, and argues that these can now be tested in humans using advanced methods. Testing such theories would help translate consciousness research into clinical practice and bridge circuit-level and network-level accounts of consciousness.