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Jean-Pierre Changeux

7 papers in the library · publishing 2003-2026

Papers

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The Global Neuronal Workspace as a multilevel model of conscious processing.

Trends in Cognitive Sciences June 1, 2026 Jean-Pierre Changeux, Michele Farisco

Debates in consciousness science increasingly question whether computational functionalism is sufficient to explain conscious processing. We summarize three core features of the Global Neuronal Workspace (GNW) theory that highlight the multilevel architecture of conscious processing, extending from cellular and molecular mechanisms to large-scale network dynamics. On this interpretation, GNW is...

Is artificial consciousness achievable? Lessons from the human brain.

Neural networks : the official journal of the International Neural Network Society December 1, 2024 Michele Farisco, Kathinka Evers, Jean-Pierre Changeux

We here analyse the question of developing artificial consciousness from an evolutionary perspective, taking the evolution of the human brain and its relation with consciousness as a reference model or as a benchmark. This kind of analysis reveals several structural and functional features of the human brain that appear to be key for reaching human-like complex conscious experience and that...

Is artificial consciousness achievable? Lessons from the human brain

arXiv (Cornell University) April 18, 2024 Michele Farisco, Kathinka Evers, Jean-Pierre Changeux

We here analyse the question of developing artificial consciousness from an evolutionary perspective, taking the evolution of the human brain and its relation with consciousness as a reference model. This kind of analysis reveals several structural and functional features of the human brain that appear to be key for reaching human-like complex conscious experience and that current research on...

Multilevel development of cognitive abilities in an artificial neural network.

Proceedings of the National Academy of Sciences of the United States of America September 27, 2022 Konstantin Volzhenin, Jean-Pierre Changeux, Guillaume Dumas

Several neuronal mechanisms have been proposed to account for the formation of cognitive abilities through postnatal interactions with the physical and sociocultural environment. Here, we introduce a three-level computational model of information processing and acquisition of cognitive abilities. We propose minimal architectural requirements to build these levels, and how the parameters affect...

Ongoing spontaneous activity controls access to consciousness: a neuronal model for inattentional blindness.

PLoS Biology June 15, 2016 Stanislas Dehaene, Jean-Pierre Changeux

Even in the absence of sensory inputs, cortical and thalamic neurons can show structured patterns of ongoing spontaneous activity, whose origins and functional significance are not well understood. We use computer simulations to explore the conditions under which spontaneous activity emerges from a simplified model of multiple interconnected thalamocortical columns linked by long-range,...

Experimental and theoretical approaches to conscious processing.

Neuron April 28, 2011 Stanislas Dehaene, Jean-Pierre Changeux

Recent experimental studies and theoretical models have begun to address the challenge of establishing a causal link between subjective conscious experience and measurable neuronal activity. The present review focuses on the well-delimited issue of how an external or internal piece of information goes beyond nonconscious processing and gains access to conscious processing, a transition...

A neuronal network model linking subjective reports and objective physiological data during conscious perception.

Proceedings of the National Academy of Sciences of the United States of America July 8, 2003 Stanislas Dehaene, Claire Sergent, Jean-Pierre Changeux

The subjective experience of perceiving visual stimuli is accompanied by objective neuronal activity patterns such as sustained activity in primary visual area (V1), amplification of perceptual processing, correlation across distant regions, joint parietal, frontal, and cingulate activation, gamma-band oscillations, and P300 waveform. We describe a neuronal network model that aims at explaining...