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Lucia Melloni

Department of Neurology, New York University Grossman School of Medicine, New York, NY, 10016, USA. lucia.melloni@ae.mpg.de.

4 papers in the library · 94 citations · publishing 2021-2025

Papers

Unpacking the complexities of consciousness: Theories and reflections.

Neuroscience and biobehavioral reviews March 1, 2025 Liad Mudrik, Melanie Boly, Stanislas Dehaene et al. 68 citations

In a structured public debate at the 2022 meeting of the Association for the Scientific Study of Consciousness, proponents of five major theories—Global Neuronal Workspace Theory, Higher-Order Theories, Integrated Information Theory, Recurrent Processing Theory, and Predictive Processing—clarified their theories' core mechanisms, foundational premises, and what each theory aims to explain. The discussion revealed more controversy than agreement, particularly on the most basic questions: what consciousness is, how to identify conscious states, and what any adequate theory must account for. Addressing these foundational disagreements is essential for advancing the field and enabling meaningful comparison of competing theories.

The Consciousness Theories Studies (ConTraSt) database: analyzing and comparing empirical studies of consciousness theories

bioRxiv Preprint Server June 10, 2021 Itay Yaron, Lucia Melloni, Michael Pitts et al. 21 citations preprint

A bird's-eye analysis of 412 experiments on the neuroscience of consciousness reveals that methodological choices alone can predict which of four leading theories a study will support, regardless of the actual findings. Most studies interpret their results after the fact rather than testing critical predictions in advance. This suggests that the field's theoretical commitments may be driven more by how experiments are designed than by the evidence itself. The authors provide an open-access website for further exploration of these trends.

Open multi-center intracranial electroencephalography dataset with task probing conscious visual perception.

Scientific data May 23, 2025 Alia Seedat, Alex Lepauvre, Jay Jeschke et al. 5 citations

An intracranial EEG dataset was collected from 38 epilepsy patients across three research centers as part of an adversarial collaboration testing Global Neuronal Workspace Theory and Integrated Information Theory. Participants viewed visual stimuli—faces, objects, letters, and false fonts—in three orientations and for three durations, performing a Go/No-Go target detection task. The dataset includes demographics, clinical information, electrode reconstructions, behavioral performance, and eye-tracking data, all converted to BIDS format. It is intended for reuse in consciousness science and vision neuroscience to investigate stimulus processing, target detection, and task-relevance.

An adversarial collaboration to critically evaluate theories of consciousness

bioRxiv Preprint Server June 23, 2023 Oscar Ferrante, Urszula Gorska-Klimowska, Simon Henin et al. preprint

An open science adversarial collaboration directly juxtaposed Integrated Information Theory (IIT) and Global Neuronal Workspace Theory (GNWT) by investigating neural correlates of visual experience. 256 human subjects viewed suprathreshold stimuli for variable durations while neural activity was measured with fMRI, MEG, and ECoG. Information about conscious content was found in visual, ventro-temporal, and inferior frontal cortex, with sustained responses in occipital and lateral temporal cortex reflecting stimulus duration, and content-specific synchronization between frontal and early visual areas.