Reka Daniel

Semantics derived automatically from language corpora contain human-like biases

Computations Underlying Social Hierarchy Learning: Distinct Neural Mechanisms for Updating and Representing Self-Relevant Information

fMRIPrep: a robust preprocessing pipeline for functional MRI

Learning task-state representations

Unsupervised deep learning identifies semantic disentanglement in single inferotemporal face patch neurons

Reinforcement Learning, Fast and Slow

How Self-Determined Choice Facilitates Performance: A Key Role of the Ventromedial Prefrontal Cortex

Psychogenic amnesia – A malady of the constricted self

Vicarious trial and error

Human Orbitofrontal Cortex Represents a Cognitive Map of State Space

Neuroscience-Inspired Artificial Intelligence

Integration of Sweet Taste and Metabolism Determines Carbohydrate Reward

Prefrontal cortex as a meta-reinforcement learning system

Reinforcement Learning and Episodic Memory in Humans and Animals: An Integrative Framework

Hierarchical decision processes that operate over distinct timescales underlie choice and changes in strategy

The Common Neural Basis of Autobiographical Memory, Prospection, Navigation, Theory of Mind, and the Default Mode: A Quantitative Meta-analysis

Reinforcement learning, efficient coding, and the statistics of natural tasks

Intrinsic and extrinsic motivation from a self-determination theory perspective: Definitions, theory, practices, and future directions

Comparing the Neural Basis of Monetary Reward and Cognitive Feedback during Information-Integration Category Learning

Reinforcement Learning in Multidimensional Environments Relies on Attention Mechanisms

A universal role of the ventral striatum in reward-based learning: Evidence from human studies

Striatal activations signal prediction errors on confidence in the absence of external feedback

Dynamic Interaction between Reinforcement Learning and Attention in Multidimensional Environments