ERC Consolidator Grant · 2019
Dynamic Network Reconstruction of Human Perceptual and Reward Learning via Multimodal Data Fusion
Training and experience can lead to long-lasting improvements in our ability to make decisions based on either ambiguous sensory or probabilistic information (e.g. learning to diagnose a noisy x-ray image or betting on the stock market). These two processes are referred to as perceptual and probabilistic/reward learning, respectively. Despite considerable efforts to uncover the neural systems involved in these processes, perceptual and reward learning have largely been studied in separate lines of research using divergent learning mechanisms. The primary aim of this proposal is to develop a unified framework for integrating these lines of research and understand the extent to which they…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.