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Intense Synaptic Activity Enhances Temporal Resolution in Spinal Motoneurons

Overview of attention for article published in PLOS ONE, September 2008
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Title
Intense Synaptic Activity Enhances Temporal Resolution in Spinal Motoneurons
Published in
PLOS ONE, September 2008
DOI 10.1371/journal.pone.0003218
Pubmed ID
Authors

Rune W. Berg, Susanne Ditlevsen, Jørn Hounsgaard

Abstract

In neurons, spike timing is determined by integration of synaptic potentials in delicate concert with intrinsic properties. Although the integration time is functionally crucial, it remains elusive during network activity. While mechanisms of rapid processing are well documented in sensory systems, agility in motor systems has received little attention. Here we analyze how intense synaptic activity affects integration time in spinal motoneurons during functional motor activity and report a 10-fold decrease. As a result, action potentials can only be predicted from the membrane potential within 10 ms of their occurrence and detected for less than 10 ms after their occurrence. Being shorter than the average inter-spike interval, the AHP has little effect on integration time and spike timing, which instead is entirely determined by fluctuations in membrane potential caused by the barrage of inhibitory and excitatory synaptic activity. By shortening the effective integration time, this intense synaptic input may serve to facilitate the generation of rapid changes in movements.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Japan 1 2%
Argentina 1 2%
Canada 1 2%
Unknown 48 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 23%
Researcher 12 23%
Professor 6 12%
Professor > Associate Professor 5 10%
Student > Master 5 10%
Other 6 12%
Unknown 6 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 35%
Neuroscience 11 21%
Medicine and Dentistry 7 13%
Engineering 2 4%
Psychology 2 4%
Other 8 15%
Unknown 4 8%