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Synaptic representation of locomotion in single cerebellar granule cells.

Powell K, Mathy A, Duguid I, Häusser M - Elife (2015)

Bottom Line: Here, we use in vivo patch-clamp recordings to show that locomotion can be directly read out from mossy fiber synaptic input and spike output in single granule cells.The increase in granule cell spiking during locomotion is enhanced by glutamate spillover currents recruited during movement.Thus, synaptic input delivers remarkably rich information to single neurons during locomotion.

View Article: PubMed Central - PubMed

Affiliation: Wolfson Institute for Biomedical Research and Department of Neuroscience, Physiology and Pharmacology, University College London, London, United Kingdom.

ABSTRACT
The cerebellum plays a crucial role in the regulation of locomotion, but how movement is represented at the synaptic level is not known. Here, we use in vivo patch-clamp recordings to show that locomotion can be directly read out from mossy fiber synaptic input and spike output in single granule cells. The increase in granule cell spiking during locomotion is enhanced by glutamate spillover currents recruited during movement. Surprisingly, the entire step sequence can be predicted from input EPSCs and output spikes of a single granule cell, suggesting that a robust gait code is present already at the cerebellar input layer and transmitted via the granule cell pathway to downstream Purkinje cells. Thus, synaptic input delivers remarkably rich information to single neurons during locomotion.

No MeSH data available.


Related in: MedlinePlus

The contribution of the frame to the current background estimate as a function of the distance of the past frame to the current frame. See Materials and methods for a detailed description.DOI:http://dx.doi.org/10.7554/eLife.07290.015
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fig6: The contribution of the frame to the current background estimate as a function of the distance of the past frame to the current frame. See Materials and methods for a detailed description.DOI:http://dx.doi.org/10.7554/eLife.07290.015

Mentions: Our background subtraction algorithm is a variant on common background subtraction techniques (e.g. see M. Piccardi, Background subtraction techniques: a review. Systems, man and cybernetics, 2004 IEEE international conference, Vol. 4. IEEE, 2004). We have changed the wording of the Methods section to be clearer about which of the values are vectors or scalars. With our alpha of 0.3, this means that the background is averaging over about 15 frames, which is about 500 ms. The method calculates an iterative weighted average of the current frame with the previous background, so that past frames contribute to the current background estimate with decaying weights. We have graphed this weight decay function below (see Author response image 2).10.7554/eLife.07290.015Author response image 2.


Synaptic representation of locomotion in single cerebellar granule cells.

Powell K, Mathy A, Duguid I, Häusser M - Elife (2015)

The contribution of the frame to the current background estimate as a function of the distance of the past frame to the current frame. See Materials and methods for a detailed description.DOI:http://dx.doi.org/10.7554/eLife.07290.015
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4499793&req=5

fig6: The contribution of the frame to the current background estimate as a function of the distance of the past frame to the current frame. See Materials and methods for a detailed description.DOI:http://dx.doi.org/10.7554/eLife.07290.015
Mentions: Our background subtraction algorithm is a variant on common background subtraction techniques (e.g. see M. Piccardi, Background subtraction techniques: a review. Systems, man and cybernetics, 2004 IEEE international conference, Vol. 4. IEEE, 2004). We have changed the wording of the Methods section to be clearer about which of the values are vectors or scalars. With our alpha of 0.3, this means that the background is averaging over about 15 frames, which is about 500 ms. The method calculates an iterative weighted average of the current frame with the previous background, so that past frames contribute to the current background estimate with decaying weights. We have graphed this weight decay function below (see Author response image 2).10.7554/eLife.07290.015Author response image 2.

Bottom Line: Here, we use in vivo patch-clamp recordings to show that locomotion can be directly read out from mossy fiber synaptic input and spike output in single granule cells.The increase in granule cell spiking during locomotion is enhanced by glutamate spillover currents recruited during movement.Thus, synaptic input delivers remarkably rich information to single neurons during locomotion.

View Article: PubMed Central - PubMed

Affiliation: Wolfson Institute for Biomedical Research and Department of Neuroscience, Physiology and Pharmacology, University College London, London, United Kingdom.

ABSTRACT
The cerebellum plays a crucial role in the regulation of locomotion, but how movement is represented at the synaptic level is not known. Here, we use in vivo patch-clamp recordings to show that locomotion can be directly read out from mossy fiber synaptic input and spike output in single granule cells. The increase in granule cell spiking during locomotion is enhanced by glutamate spillover currents recruited during movement. Surprisingly, the entire step sequence can be predicted from input EPSCs and output spikes of a single granule cell, suggesting that a robust gait code is present already at the cerebellar input layer and transmitted via the granule cell pathway to downstream Purkinje cells. Thus, synaptic input delivers remarkably rich information to single neurons during locomotion.

No MeSH data available.


Related in: MedlinePlus