Cognition and Neurocomputations of motivation and planning
The project aims to enhance understanding of prefrontal cortex function by developing a neuro-ethological approach to study sequential decision-making and adaptive behavior through interdisciplinary methods.
Projectdetails
Introduction
Being able to make adaptive decisions and follow through is crucial for animals and humans alike. While some simplifications of real-life environments are necessary for laboratory settings, past studies have often removed essential complexity.
Limitations of Current Approaches
Specifically, a common reductionist approach toward decision making focuses exclusively on a neuro-economic framing. However, this neglects that in the real world, behaviour is often a sequence of choices, requiring planning and sustained motivation to reach our goals.
Importance of Sequential Choices
Only by examining cognition and behaviour embedded in these sequences can we gain a full understanding of prefrontal cortex function in general and its cognitive, computational, and neural role in sequential behaviours in particular.
New Neuro-Ethological Approach
To answer this challenge, over the last couple of years, I have been at the forefront of developing a new neuro-ethological approach enabled by advances in:
- Computational modeling
- Experimental designs
- Brain recording and stimulation techniques
Key Cognitive Processes
In the proposal, I have identified key cognitive processes linked to challenges the prefrontal cortex has evolved to solve. For the prefrontal cortex, this means sequential and self-determined behaviours.
Multidisciplinary Inspiration
To make the complexity tractable, I take inspiration from multiple disciplines including:
- Ecology
- Biology
- Psychology
- Neuroscience
This way, I can identify the essential elements for achieving adaptive complex behaviour as a response to real-life challenges and build unifying computational models around those processes.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.652.950 |
Totale projectbegroting | € 1.652.950 |
Tijdlijn
Startdatum | 1-5-2023 |
Einddatum | 30-4-2028 |
Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALEpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
Understanding diversity in decision strategy: from neural circuits to behaviorThis project aims to uncover the neural mechanisms behind the brain's flexibility in decision-making strategies during foraging, using advanced computational and electrophysiological methods in mice. | ERC Starting... | € 1.996.415 | 2025 | Details |
Task-relevant cognitive maps and their role in spatial decision-makingThis project aims to uncover how the brain forms internal cognitive maps and makes spatial decisions by studying rats' neural activity and decision-making processes through advanced techniques. | ERC Starting... | € 1.499.721 | 2024 | Details |
Towards a computational account of natural sequential behaviorThis project aims to model and understand the interplay of perception, cognition, and action in everyday tasks through behavioral experiments and computational frameworks under uncertainty. | ERC Consolid... | € 1.964.000 | 2022 | Details |
Neuromuscular-cognitive interactions in sensorimotor decision makingMYODECISION aims to enhance understanding of sensory-motor interaction by developing decision paradigms that integrate neuromuscular demands with cognitive processes in real-time. | ERC Starting... | € 1.499.916 | 2023 | Details |
Higher-order motor control of stochastic behavior in an uncertain environmentMOTORHEAD aims to elucidate how deterministic decision signals in the brain translate into variable motor commands using advanced neuronal recordings in rodents. | ERC Consolid... | € 1.991.725 | 2022 | Details |
Understanding diversity in decision strategy: from neural circuits to behavior
This project aims to uncover the neural mechanisms behind the brain's flexibility in decision-making strategies during foraging, using advanced computational and electrophysiological methods in mice.
Task-relevant cognitive maps and their role in spatial decision-making
This project aims to uncover how the brain forms internal cognitive maps and makes spatial decisions by studying rats' neural activity and decision-making processes through advanced techniques.
Towards a computational account of natural sequential behavior
This project aims to model and understand the interplay of perception, cognition, and action in everyday tasks through behavioral experiments and computational frameworks under uncertainty.
Neuromuscular-cognitive interactions in sensorimotor decision making
MYODECISION aims to enhance understanding of sensory-motor interaction by developing decision paradigms that integrate neuromuscular demands with cognitive processes in real-time.
Higher-order motor control of stochastic behavior in an uncertain environment
MOTORHEAD aims to elucidate how deterministic decision signals in the brain translate into variable motor commands using advanced neuronal recordings in rodents.