CORDIS Project
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This project aims to enhance the understanding of decision-making in neuroscience by integrating a neuro-computational model into a humanoid robot. The model, known as the Reinforcement Meta-Learner, will facilitate the exploration of cognitive processes and embodiment in real-world decision-making scenarios.
The combination of empirical testing with computational modeling is the most promising path in neuroscience of decision-making.
Nonetheless, neuro-computational models of decision-making are still affected by two main limitations.
First, computer simulations, typically used for testing neural models, represent the environment in a very simplistic way, exposing the computational models to “toy problems”.
Second, computational neuroscience often neglects that bodily processes do not simply “execut…
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