An integrated theory of deciding and acting
This project aims to develop an integrated computational theory linking decision-making and motor execution, tested through experiments to enhance understanding of cognitive processes and their implications.
Projectdetails
Introduction
How do we translate information from sensory inputs and memory stores into goal-directed actions? In the last 40 years, the fields of cognitive psychology and cognitive neuroscience have focused on the decision-making stage, and very few attempts have been made to understand the complete process.
Project Aim
The aim of the present scientific proposal is to elaborate an integrated computational theory of deciding and acting in humans. This theory will explain conflicting measurements from these traditionally separate fields of research and provide joint, precise quantitative predictions about them.
Core Hypothesis
The core hypothesis of the theory is that motor execution is determined by the same evidence accumulation variable that drives decision-making. This hypothesis strongly departs from current models of decision-making that represent motor execution as a residual parameter, under the assumption that motor execution captures effects that are not cognitively interesting.
Methodology
The theory will be tested through a series of experiments that combine cognitive modeling, behavioral, and electrophysiological measurements, including:
- Electromyography of response-relevant muscles
- Electroencephalography
Specifically, the experiments aim at:
- Testing and characterizing the hypothetical dependency of motor execution on the evolving decision variable.
- Generalizing the theory to a wide range of choice laboratory tasks and different response effectors.
- Identifying potential boundary conditions of application.
- Elucidating the relationship between decision-making, motor execution, and confidence judgments.
Application to Developmental Data
In a final part of the project, the theory will be applied to developmental data in order to provide new theoretical insight into the development of decision-making and motor execution across the lifespan.
Expected Outcomes
If successful, this work should provide new perspectives into a broader range of research problems, from perception-action coupling to movement disorders that appear to have a cognitive basis.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.290.180 |
Totale projectbegroting | € 1.290.180 |
Tijdlijn
Startdatum | 1-9-2022 |
Einddatum | 31-8-2027 |
Subsidiejaar | 2022 |
Partners & Locaties
Projectpartners
- UNIVERSITE MARIE ET LOUIS PASTEURpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
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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 |
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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.
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.
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.
Making sense of the senses: Causal Inference in a complex dynamic multisensory world
This project aims to uncover how the brain approximates causal inference in complex multisensory environments using interdisciplinary methods, potentially informing AI and addressing perceptual challenges in clinical populations.