ReviewTrends in cognitive sciences2020
Unraveling the Mysteries of Motivation.
Review in Trends in cognitive sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
19 citing papers in PubMed.
- When do we experience effort?Synthese · 2026Article
- On the origin of the reward function: Exploring the role of conditioned reinforcement and social learning.Psychonomic bulletin & review · 2025Review
- Factorized embedding of goal and uncertainty in the lateral prefrontal cortex guides stably flexible learning.Nature communications · 2025Article
- The interoceptive origin of reinforcement learning.Trends in cognitive sciences · 2025Review
- Romantic Jealousy, Cortisol, and Dark Chocolate.Archives of sexual behavior · 2025Article
- The affective gradient hypothesis: an affect-centered account of motivated behavior.Trends in cognitive sciences · 2024Review
- Latent Learning Progress Drives Autonomous Goal Selection in Human Reinforcement Learning.Advances in neural information processing systems · 2024Article
- Neural and Computational Mechanisms of Motivation and Decision-making.Journal of cognitive neuroscience · 2024Article
- Goal commitment is supported by vmPFC through selective attention.Nature human behaviour · 2024Article
- Computational Mechanisms Underlying Motivation to Earn Symbolic Reinforcers.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Article
- Emotions as computations.Neuroscience and biobehavioral reviews · 2023Review
- Training diversity promotes absolute-value-guided choice.PLoS computational biology · 2022Article
- Readiness to remember: predicting variability in episodic memory.Trends in cognitive sciences · 2022Review
- Network controllability mediates the relationship between rigid structure and flexible dynamics.Network neuroscience (Cambridge, Mass.) · 2022Article
- Grounding Context in Embodied Cognitive Robotics.Frontiers in neurorobotics · 2022Article
- The case against economic values in the orbitofrontal cortex (or anywhere else in the brain).Behavioral neuroscience · 2021Article
- Biopsychosocial Functions of Human Walking and Adherence to Behaviourally Demanding Belief Systems: A Narrative Review.Frontiers in psychology · 2021Review
- The Situation-Specific Theory of Heart Failure Self-care: An Update on the Problem, Person, and Environmental Factors Influencing Heart Failure Self-care.The Journal of cardiovascular nursingArticle
Corrections and comments
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Authors and funding
1 author.
Funding
Abstract
Motivation plays a central role in human behavior and cognition but is not well captured by widely used artificial intelligence (AI) and computational modeling frameworks. This Opinion article addresses two central questions regarding the nature of motivation: what are the nature and dynamics of the internal goals that drive our motivational system and how can this system be sufficiently flexible to support our ability to rapidly adapt to novel situations, tasks, etc.? In reviewing existing systems and neuroscience research and theorizing on these questions, a wealth of insights to constrain the development of computational models of motivation can be found.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.