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Preparation of Parasagittal Slices for the Investigation of Dorsal-ventral Organization of the Rodent Medial Entorhinal Cortex
Published on: March 28, 2012
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Spatial coding and attractor dynamics of grid cells in the entorhinal cortex.
1Edmond and Lily Safra Center for Brain Sciences, and Racah Institute of Physics, Hebrew University, Jerusalem 91904, Israel.
Current Opinion in Neurobiology
|February 25, 2014
Summary
Recurrent neural networks in the medial entorhinal cortex create continuous attractors for neural population activity. This network architecture may enable grid cells to encode position with a large dynamical range.
Area of Science:
- Neuroscience
- Computational Neuroscience
Background:
- Recurrent connectivity is hypothesized to be crucial in the medial entorhinal cortex.
- Neural population activity in this region may form continuous attractors.
Purpose of the Study:
- To investigate the role of recurrent connectivity in medial entorhinal cortex neural population dynamics.
- To explore the hypothesis that grid cells across modules encode spatial position with a large dynamical range.
Main Methods:
- Theoretical modeling of neural population dynamics.
- Analysis of grid cell activity patterns.
Main Results:
- Recurrent connectivity shapes neural population activity into continuous attractors.
- Coupled activity across grid cell modules is proposed for sophisticated position representation.
Conclusions:
- Recurrent networks in the medial entorhinal cortex support attractor dynamics.
- Grid cell networks may offer a neural code with an exceptionally large dynamical range for spatial navigation.
