… Here, we will discuss one popular class of models that inspired recent neurocomputational
models of altruism: drift diffusion models (DDMs) (Bogacz et al., 2006; Ratcliff & McKoon, …

… hinge on a central issue related to decision making and human agency. The essence of …
In this thesis, neurocomputational models are developed to bridge the gaps between micro (…

Reinforcement learning and decision-making (RLDM) provide a quantitative framework and
computational theories with which we can disentangle psychiatric conditions into the basic …

To interact successfully with diverse sensory environments, we must adapt our decision
processes to account for time constraints and prior probabilities. The full set of decision-process …

… We examined the neurocomputational mechanisms in which male adolescents make food
and physical activity decisions and how those processes are influenced by body weight and …

… the existence of two systems that contribute to decision making. The first system is bottom-up…
demands of the decision-making system in the context of neural mechanisms specialized to …

… -based decision making, … decision studies which adopted a neurocomputational approach,
this framework allows us to show that a mechanistic understanding of moral decision making …

… This study provides novel insight into underlying neurobiological and behavioral mechanisms
that shed light on trans-diagnostic phenotypes of reward learning and decision-making in …

… role for neurocomputational cost-based emotion in decision making may pave the …
neurocomputational energy regulation of the brain to facilitate fast and cheap neural decision making …

… Social decision-making is increasingly studied with neurocomputational modeling. Here we
discuss how this approach allows researchers to better understand and predict behavior in …