Brain-machine: model, analogy, identity. Neuroscience and Artificial Intelligence in mirror (HYPERHUM@IN)

Project led by:

Thematic Call

The Hyperhum@in research program brings together a core group of researchers in HSS and life sciences committed to questioning exploratory engineering projects “at the frontiers of the human”.
The second part, entitled “brain-machine: analogy, model, identity”, proposes to take a combined look at Artificial Intelligence and cognitive neuroscience which have today become inseparable in their mutual quest for intelligibility of the functioning of the human brain.
Among the technoscientific projects opened by this same desire for knowledge, we can cite machine learning inspired by the functioning of the brain (neural networks); the modeling of the brain in more or less radical companies designing an “intelligent” machine; the use of computer modeling in the field of imaging and neurobiological data processing; therapeutic applications of neuroscience and prospects for human-machine hybridization. This second part will also be the subject of a public conference within the walls of Cap Sciences as well as a collective publication in the Presse universitaire de Bordeaux.

Keywords: bioengineering, neuroscience, cognition, machine learning, artificial intelligence

The Hyperhum@in research program brings together a core of researchers in SHS and life sciences who are committed to questioning exploratory engineering projects “at the frontiers of the human”.
The second part entitled “brain-machine: analogy, model, identity” proposes to take a cross-look at Artificial Intelligence and cognitive neuroscience which have become inseparable in their mutual quest for understanding the functioning of the human brain.
Among the techno-scientific projects opened up by this same desire for knowledge, we can cite machine learning inspired by the functioning of the brain (neural networks); modeling of the brain in more or less radical machine design companies; resorts to computer modeling in the field of neurobiological data imaging and processing; therapeutic applications of neuroscience and perspectives on human-machine hybridization. This second part will also be the subject of a public conference within the walls of Cap Sciences as well as a collective publication at the University Press of Bordeaux.

Keywords: Bio engineering, neuroscience, cognition, machine learning, Artificial Intelligence

Download the detailed project sheet: MSHBx-AAP-2023-HYPERHUM@IN (pdf)

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