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Single neurons in the human medial temporal lobe flexibly shift representations across spatial and memory tasks
Thomas Donoghue1, Runnan Cao2, Claire Z Han1
1Department of Biomedical Engineering, Columbia University, New York, New York, USA.
Hippocampus
|April 15, 2023
Summary
Single neurons in the human medial temporal lobe flexibly encode different aspects of various tasks. Some neurons change their feature coding between spatial navigation and visual working memory contexts.
Area of Science:
- Neuroscience
- Cognitive Neuroscience
- Systems Neuroscience
Background:
- Single neurons exhibit diverse encoding strategies, including specific (place, object) and mixed selectivity.
- Neural representations across different task contexts remain poorly understood, particularly in the medial temporal lobe (MTL).
- The MTL is crucial for spatial navigation and memory, but the interplay between these functions at the neural level is unclear.
Purpose of the Study:
- To investigate how single-neuron representations in the human MTL vary across distinct task contexts.
- To determine if neural representations are stable or flexible when switching between visual working memory and spatial navigation tasks.
Main Methods:
- Recorded single-neuron activity from five human patients performing paired visual working memory and spatial navigation/memory tasks.
- Utilized spike sorting to compare activity from the same putative neurons across both tasks.
- Analyzed neural responses for concept-related activations (working memory) and target-location/serial-position coding (navigation).
Main Results:
- Confirmed known neural representations within each task (concept-specific in working memory, location/serial-position in navigation).
- A significant proportion of neurons maintained consistent representations across tasks.
- Identified neurons that altered their representational code, notably stimulus-responsive cells in working memory becoming serial-position responsive in navigation.
Conclusions:
- Single neurons in the human MTL demonstrate flexible encoding capabilities, representing distinct features of different tasks.
- Some individual neurons dynamically shift their feature coding depending on the cognitive context.
- These findings support a model of adaptable neural representations supporting multiple cognitive functions within the MTL.
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