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Horizontal Hippocampal Slices of the Mouse Brain
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Hippocampal remapping is constrained by sparseness rather than capacity.
Axel Kammerer1, Christian Leibold2
1Department Biologie II, Ludwig-Maximilians-Universität München, Planegg, Germany; Graduate School for Systemic Neurosciences, Ludwig-Maximilians-Universität München, Planegg, Germany.
Plos Computational Biology
|December 5, 2014
Summary
Grid cells in the medial entorhinal cortex and hippocampal place cells encode spatial environments. Their information transfer capacity is limited, suggesting they may represent different spatial aspects.
Area of Science:
- Neuroscience
- Cognitive Science
- Computational Neuroscience
Background:
- Medial entorhinal cortex grid cells form hexagonal lattices to encode space.
- Hippocampal place cells are candidates for reading grid cell spatial information.
Purpose of the Study:
- Investigate feed-forward input from grid cells to place cells.
- Determine the capacity of synaptic transformations for spatial coding.
Main Methods:
- Analyze spatial acuity and environment representation capacity.
- Model phase shifts and global remapping in place cell fields.
Main Results:
- Spatial decoding acuity is resilient to multiple remappings.
- Place cell codes are sparse, indicating underutilized grid cell input capacity.
Conclusions:
- Grid cells and place cells may encode distinct spatial information.
- The projection from grid cells to place cells does not fully exploit its information transfer capacity.
