Towards understanding human consciousness: How internal brain states and environmental context shape our subjective experience
This project aims to integrate neuroimaging, pharmacology, and computational modeling to explore how neurotransmitters and arousal influence human consciousness and subjective experience.
Projectdetails
Introduction
Consciousness is subjective experience, the ‘what it is likeness’, for example to perceive a certain scene or to feel joy. In the last three decades, tremendous progress has been made in identifying the neural correlates of consciousness at the level of whole brain regions.
Advances in Related Fields
Meanwhile, outside the field of consciousness, rapid progress has been made in understanding neural, biochemical, and psychological factors that have to be accounted for to further understand human consciousness. Most importantly, we know much more about:
- The neurotransmitter systems underlying basic sensory processes in animals (e.g. neurobiology).
- The mechanisms responsible for fluctuations in wakefulness and arousal (e.g. anesthetics/neurobiology).
- How perception is constructed by the brain’s predictions about regularities in the world (e.g. neuroscience/psychology).
This research has, however, been performed in relative isolation from studies of human consciousness, and clear opportunities to link these different fields remain largely unexplored.
Research Objectives
Here I will establish this crucial link by combining state-of-the-art neuroimaging techniques with pharmacological interventions and computational modeling in humans performing novel experimental tasks gauging subjective perceptual experience. My project has three main aims:
- I will first test the hypothesis that excitatory and inhibitory neurotransmitters play central, albeit different roles in recurrent neural processes, crucial for conscious experience.
- Second, I will test how subjective experience is shaped by spontaneous fluctuations in arousal and levels of physical activity.
- Third, I will test how conscious experience is modulated by the interplay between predictions and sensory input.
Expected Outcomes
This research promises to provide an integrative framework for understanding the neural and biochemical mechanisms of consciousness, and will reveal how it is shaped and determined by being a human agent that interacts with, acts in, and predicts its environment.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.999.562 |
Totale projectbegroting | € 1.999.562 |
Tijdlijn
Startdatum | 1-9-2023 |
Einddatum | 31-8-2028 |
Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- UNIVERSITEIT VAN AMSTERDAMpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
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Brain mechanisms of conscious processing, from correlates to signatures
This project aims to identify distinct brain mechanisms of conscious processing using innovative methods to reveal neural signatures and improve diagnosis in non-communicating patients.
NeUronal MEchanisms foR consciOUS perception
This project aims to investigate the neural mechanisms of consciousness by comparing responses to simple and complex visual stimuli across various brain regions in humans and monkeys.
Are you experienced? An exploration into the functions and value of consciousness
The EXPERIENCE project investigates the intrinsic value of consciousness, proposing it as a motivator for action through subjective experience, using interdisciplinary methods in philosophy and cognitive neuroscience.
Personalizing the Unconscious: a Cognitive, Neural and Developmental Investigation
This project aims to establish a novel framework for understanding individual differences in Susceptibility to Unconscious Processing (SUP) through systematic investigation of neural mechanisms and their stability over time and tasks.
Revealing the neural computations that distinguish imagination from reality
This project aims to investigate how the brain distinguishes between imagination and reality through sensory processing and cognitive control, using advanced neuroimaging and computational methods.