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| Funder | European Commission |
|---|---|
| Recipient Organization | Institut National de la Sante Et de la Recherche Medicale |
| Country | France |
| Start Date | Oct 01, 2023 |
| End Date | Sep 30, 2028 |
| Duration | 1,826 days |
| Number of Grantees | 3 |
| Roles | Coordinator; Participant; Third Party |
| Data Source | European Commission |
| Grant ID | 101077874 |
How we consciously experience the world remains a mystery in science.
To tackle this problem, scientific works on perceptual consciousness contrast brain activity when participants consciously perceive a stimulus versus when they are unaware of it. To report stimulus awareness, participants need to make decisions. However, the extent to which the well-studied mechanisms of decision-making apply to consciousness is unclear.
One possible reason is that standard neuroimaging methods lack the sensitivity to observe whether the mechanisms of decision-making also operate in the absence of task relevance, as when participants become conscious of a stimulus irrespective of any task.
In this project, I will test the hypothesis that a mechanism of decision-making evidence accumulation explains how perceptual consciousness unfolds over time.
First, I will develop a computational model of a latent evidence accumulation process (LEAP) and test it on behavioral measures of phenomenal aspects of perceptual experience: its duration and intensity.
Second, I will search for single neuron activity in humans that instantiates evidence accumulation and test whether it also determines these phenomenal aspects of perceptual experience.
Third, I will stimulate the corresponding brain regions to disentangle their causal role in either solely triggering perceptual experience or shaping it.
Last, I will use the LEAP model to explain hallucinatory-like experiences in patients with Parkinson's disease and test whether deep-brain stimulation affects only decision-making as previously shown or also perceptual experience.
By combining computational modeling and cutting-edge electrophysiology, the LEAP project will provide unique mechanistic insights on how neuronal activity determines perceptual experience and guides its temporal dynamics.
It will also provide a tool to better understand hallucinations, which remain today a major debilitating symptom in numerous psychiatric disorders.
Institut National de la Sante Et de la Recherche Medicale; Universite Grenoble Alpes; Centre Hospitalier Universitaire de Grenoble
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