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Direct recordings of grid-like neuronal activity in human spatial navigation
Grid cells in the entorhinal cortex appear to represent spatial location via a triangular coordinate system. Such cells, which have been identified in rats, bats and monkeys, are believed to supportExpand
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Goal-directed decision making as probabilistic inference: a computational framework and potential neural correlates.
Recent work has given rise to the view that reward-based decision making is governed by two key controllers: a habit system, which stores stimulus-response associations shaped by past reward, and aExpand
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A Neural Signature of Hierarchical Reinforcement Learning
Human behavior displays hierarchical structure: simple actions cohere into subtask sequences, which work together to accomplish overall task goals. Although the neural substrates of such hierarchyExpand
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Optimal Behavioral Hierarchy
Human behavior has long been recognized to display hierarchical structure: actions fit together into subtasks, which cohere into extended goal-directed activities. Arranging actions hierarchicallyExpand
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Positional and temporal clustering in serial order memory
The well-known finding that responses in serial recall tend to be clustered around the position of the target item has bolstered positional-coding theories of serial order memory. In the presentExpand
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Neural Activity in Human Hippocampal Formation Reveals the Spatial Context of Retrieved Memories
Remembrance of Places Past The hippocampus has two major roles in cognition. Place-responsive neurons form a context-sensitive cognitive map, firing more strongly when an animal traverses specificExpand
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Evidence integration in model-based tree search
Significance Recent behavioral research has made rapid progress toward revealing the processes by which we make choices based on judgments of subjective value. A key insight has been that thisExpand
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Reinforcement learning, efficient coding, and the statistics of natural tasks
The application of ideas from computational reinforcement learning has recently enabled dramatic advances in behavioral and neuroscientific research. For the most part, these advances have involvedExpand
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PandaEPL: A library for programming spatial navigation experiments
Recent advances in neuroimaging and neural recording techniques have enabled researchers to make significant progress in understanding the neural mechanisms underlying human spatial navigation.Expand
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PyParse: A semiautomated system for scoring spoken recall data
Studies of human memory often generate data on the sequence and timing of recalled items, but scoring such data using conventional methods is difficult or impossible. We describe a Python-basedExpand
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