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Hippocampal Attractor Dynamics Predict Memory-Based Decision Making
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DOI：10.1016/j.cub.2016.04.063.png)
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Abstract
En 中文
Memories are thought to be retrieved by attractor dynamics if a given input is sufficiently similar to a stored attractor state [1-5]. The hippocampus, a region crucial for spatial navigation [6-12] and episodic memory [13-18], has been associated with attractorbased computations [5, 9], receiving support from the way rodent place cells ``remap'' nonlinearly between spatial representations [19-22]. In humans, nonlinear response patterns have been reported in perceptual categorization tasks [23-25]; however, it remains elusive whether human memory retrieval is driven by attractor dynamics and what neural mechanisms might underpin them. To test this, we used a virtual reality [7, 11, 26-28] task where participants learned object-location associations within two distinct virtual reality environments. Participants were subsequently exposed to four novel intermediate environments, generated by linearly morphing the background landscapes of the familiar environments, while tracking fMRI activity. We show that linear changes in environmental context cause linear changes in activity patterns in sensory cortex but cause dynamic, nonlinear changes in both hippocampal activity pattern and remembered locations. Furthermore, the sigmoidal response in the hippocampus scaled with the strength of the sigmoidal pattern in spatial memory. These results indicate that mnemonic decisions in an ambiguous novel context relate to putative attractor dynamics in the hippocampus, which support the dynamic remapping of memories.
Keywords:
MEDIAL TEMPORAL-LOBE
COMPLEMENTARY-LEARNING-SYSTEMS
VOXEL PATTERN-ANALYSIS
SPATIAL NAVIGATION
RECOGNITION MEMORY
REAL-WORLD
REPRESENTATIONS
NETWORKS
CONTEXT
INTEGRATION
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