Home LATEST NEWS To better understand the “consciousness” of the brain

To better understand the “consciousness” of the brain

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This neurocomputational model was developed by an international group of researchers from the Institut Pasteur and the Sorbonne University in Paris, the CHU Sainte-Justine, Mila (Quebec Institute of Artificial Intelligence) and the University of Montreal.

So far, this model has always been made for an already formed brain, an adult brainsaid one of the authors of this work, Professor Guillaume Dumas of the Department of Psychiatry and Addiction of the Faculty of Medicine of the University of Montreal.

Now, in our model, what we did was to start a bit like a child’s brain and develop this model, that is to say [quels sont] the biological mechanisms that are necessary so that, through development and experience of the world, a brain can acquire this faculty of consciousness.

Word awareness, emphasizes Professor Dumas, is one of the most debated terms and possibly one of the least well defined in the field of cognitive science. In the context of this work, it refers to the brain’s ability to describe a sensory experience (for example, I see a red flower Where I’m hearing music).

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At birth, he continues, the child does not have this “consciousness”, there is basically no separation between him and the others, and it is over time, through his interactions with others, that this separation develops.

The model we are proposing is the steps needed to [en arriver] to this self-awarenessexplained Mr. Dumas. What are the most fundamental and critical mechanisms for consciousness to emerge?

The model is computational, in the sense that it is on a computer, but it is a model biophysics which, unlike algorithms which are programmed to arrive at a specific objective, is rather inspired by biology.

We simulated neurons, like [ceux] that are in our brain [et ils] reproduce the electrical exchanges that take place in the brainexplained Mr. Dumas. We also integrated into our model biological phenomena such as dopamine, which is a neurotransmitter associated with reward, so that the model can learn via rewards during its learning process.

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Understanding the emergence of consciousness could have clinical implications in the treatment of neurodevelopmental disorders, but also in the development of artificial intelligencehe concludes.

The results of this work were published in the journal PNAS (Proceedings of the National Academy of Sciences of the United States of America).

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