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Action potential counting at giant mossy fiber terminals gates information transfer in the hippocampus

Simon Chamberland, Yulia Timofeeva, Alesya Evstratova, Kirill Volynski, Katalin Tóth
doi: https://doi.org/10.1101/158444
Simon Chamberland
1Quebec Mental Health Institute, Department of Psychiatry and Neuroscience, Université Laval, 7 Quebec City, Quebec, Canada
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Yulia Timofeeva
2Department of Computer Science, University of Warwick, Coventry, UK
3Centre for Complexity Science, University of Warwick, Coventry, UK
4University College London Institute of Neurology, University College London, London, UK
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Alesya Evstratova
1Quebec Mental Health Institute, Department of Psychiatry and Neuroscience, Université Laval, 7 Quebec City, Quebec, Canada
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Kirill Volynski
4University College London Institute of Neurology, University College London, London, UK
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  • For correspondence: katalin.toth@fmed.ulaval.ca k.volynski@ucl.ac.uk
Katalin Tóth
1Quebec Mental Health Institute, Department of Psychiatry and Neuroscience, Université Laval, 7 Quebec City, Quebec, Canada
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  • For correspondence: katalin.toth@fmed.ulaval.ca k.volynski@ucl.ac.uk
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Abstract

Hippocampal mossy fibers have long been recognized as conditional detonators owing to prominent short-term facilitation, but the patterns of activity required to fire postsynaptic CA3 pyramidal neurons remain poorly understood. We show that mossy fibers count the number of spikes to transmit information to CA3 pyramidal cells through a distinctive interplay between presynaptic calcium dynamics, buffering and vesicle replenishment. This identifies a previously unexplored information coding mechanism in the brain.

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Posted July 04, 2017.
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Action potential counting at giant mossy fiber terminals gates information transfer in the hippocampus
Simon Chamberland, Yulia Timofeeva, Alesya Evstratova, Kirill Volynski, Katalin Tóth
bioRxiv 158444; doi: https://doi.org/10.1101/158444
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Action potential counting at giant mossy fiber terminals gates information transfer in the hippocampus
Simon Chamberland, Yulia Timofeeva, Alesya Evstratova, Kirill Volynski, Katalin Tóth
bioRxiv 158444; doi: https://doi.org/10.1101/158444

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