A Multiplexed, Heterogeneous, and Adaptive Code for Navigation in Medial Entorhinal Cortex

Medial entorhinal grid cells display strikingly symmetric spatial firing patterns. The clarity of these patterns motivated the use of specific activity pattern shapes to classify entorhinal cell types. While this approach successfully revealed cells that encode boundaries, head direction, and runnin...

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Vydáno v:	Neuron (Cambridge, Mass.) Ročník 94; číslo 2; s. 375
Hlavní autoři:	Hardcastle, Kiah, Maheswaranathan, Niru, Ganguli, Surya, Giocomo, Lisa M
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States 19.04.2017
Témata:	Action Potentials - physiology Animals Entorhinal Cortex - physiology Female Head Male Mice, Inbred C57BL Models, Neurological Motor Activity - physiology Neurons - physiology Space Perception - physiology Theta Rhythm - physiology Multiplexed-coding spatial navigation entorhinal cortex adaptive coding computational models of spatial coding encoding mode tuning heterogeneity
ISSN:	1097-4199, 1097-4199
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Abstract	Medial entorhinal grid cells display strikingly symmetric spatial firing patterns. The clarity of these patterns motivated the use of specific activity pattern shapes to classify entorhinal cell types. While this approach successfully revealed cells that encode boundaries, head direction, and running speed, it left a majority of cells unclassified, and its pre-defined nature may have missed unconventional, yet important coding properties. Here, we apply an unbiased statistical approach to search for cells that encode navigationally relevant variables. This approach successfully classifies the majority of entorhinal cells and reveals unsuspected entorhinal coding principles. First, we find a high degree of mixed selectivity and heterogeneity in superficial entorhinal neurons. Second, we discover a dynamic and remarkably adaptive code for space that enables entorhinal cells to rapidly encode navigational information accurately at high running speeds. Combined, these observations advance our current understanding of the mechanistic origins and functional implications of the entorhinal code for navigation. VIDEO ABSTRACT.
AbstractList	Medial entorhinal grid cells display strikingly symmetric spatial firing patterns. The clarity of these patterns motivated the use of specific activity pattern shapes to classify entorhinal cell types. While this approach successfully revealed cells that encode boundaries, head direction, and running speed, it left a majority of cells unclassified, and its pre-defined nature may have missed unconventional, yet important coding properties. Here, we apply an unbiased statistical approach to search for cells that encode navigationally relevant variables. This approach successfully classifies the majority of entorhinal cells and reveals unsuspected entorhinal coding principles. First, we find a high degree of mixed selectivity and heterogeneity in superficial entorhinal neurons. Second, we discover a dynamic and remarkably adaptive code for space that enables entorhinal cells to rapidly encode navigational information accurately at high running speeds. Combined, these observations advance our current understanding of the mechanistic origins and functional implications of the entorhinal code for navigation. VIDEO ABSTRACT.Medial entorhinal grid cells display strikingly symmetric spatial firing patterns. The clarity of these patterns motivated the use of specific activity pattern shapes to classify entorhinal cell types. While this approach successfully revealed cells that encode boundaries, head direction, and running speed, it left a majority of cells unclassified, and its pre-defined nature may have missed unconventional, yet important coding properties. Here, we apply an unbiased statistical approach to search for cells that encode navigationally relevant variables. This approach successfully classifies the majority of entorhinal cells and reveals unsuspected entorhinal coding principles. First, we find a high degree of mixed selectivity and heterogeneity in superficial entorhinal neurons. Second, we discover a dynamic and remarkably adaptive code for space that enables entorhinal cells to rapidly encode navigational information accurately at high running speeds. Combined, these observations advance our current understanding of the mechanistic origins and functional implications of the entorhinal code for navigation. VIDEO ABSTRACT. Medial entorhinal grid cells display strikingly symmetric spatial firing patterns. The clarity of these patterns motivated the use of specific activity pattern shapes to classify entorhinal cell types. While this approach successfully revealed cells that encode boundaries, head direction, and running speed, it left a majority of cells unclassified, and its pre-defined nature may have missed unconventional, yet important coding properties. Here, we apply an unbiased statistical approach to search for cells that encode navigationally relevant variables. This approach successfully classifies the majority of entorhinal cells and reveals unsuspected entorhinal coding principles. First, we find a high degree of mixed selectivity and heterogeneity in superficial entorhinal neurons. Second, we discover a dynamic and remarkably adaptive code for space that enables entorhinal cells to rapidly encode navigational information accurately at high running speeds. Combined, these observations advance our current understanding of the mechanistic origins and functional implications of the entorhinal code for navigation. VIDEO ABSTRACT.
Author	Maheswaranathan, Niru Hardcastle, Kiah Ganguli, Surya Giocomo, Lisa M
Author_xml	– sequence: 1 givenname: Kiah surname: Hardcastle fullname: Hardcastle, Kiah email: khardcas@stanford.edu organization: Department of Neurobiology, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Applied Physics, Stanford University, Stanford, CA 94305, USA. Electronic address: khardcas@stanford.edu – sequence: 2 givenname: Niru surname: Maheswaranathan fullname: Maheswaranathan, Niru organization: Department of Neurobiology, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Applied Physics, Stanford University, Stanford, CA 94305, USA – sequence: 3 givenname: Surya surname: Ganguli fullname: Ganguli, Surya organization: Department of Neurobiology, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Applied Physics, Stanford University, Stanford, CA 94305, USA – sequence: 4 givenname: Lisa M surname: Giocomo fullname: Giocomo, Lisa M email: giocomo@stanford.edu organization: Department of Neurobiology, Stanford University School of Medicine, Stanford, CA 94305, USA. Electronic address: giocomo@stanford.edu
BackLink	https://www.ncbi.nlm.nih.gov/pubmed/28392071$$D View this record in MEDLINE/PubMed
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Snippet	Medial entorhinal grid cells display strikingly symmetric spatial firing patterns. The clarity of these patterns motivated the use of specific activity pattern...
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SubjectTerms	Action Potentials - physiology Animals Entorhinal Cortex - physiology Female Head Male Mice, Inbred C57BL Models, Neurological Motor Activity - physiology Neurons - physiology Space Perception - physiology Theta Rhythm - physiology
Title	A Multiplexed, Heterogeneous, and Adaptive Code for Navigation in Medial Entorhinal Cortex
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