Abstract
Knowledge of synaptic input is crucial to understand synaptic integration and ultimately neural function. However, in vivo the rates at which synaptic inputs
arrive are high, so that it is typically impossible to detect single events. We show
here that it is nevertheless possible to extract the properties of the events, and in
particular to extract the event rate, the synaptic time-constants, and the properties
of the event size distribution from in vivo voltage-clamp recordings. Applied to
cerebellar interneurons our method reveals that the synaptic input rate increases
from 600Hz during rest to 1000Hz during locomotion, while the amplitude and
shape of the synaptic events are unaffected by this state change. This method thus
complements existing methods to measure neural function in vivo.
arrive are high, so that it is typically impossible to detect single events. We show
here that it is nevertheless possible to extract the properties of the events, and in
particular to extract the event rate, the synaptic time-constants, and the properties
of the event size distribution from in vivo voltage-clamp recordings. Applied to
cerebellar interneurons our method reveals that the synaptic input rate increases
from 600Hz during rest to 1000Hz during locomotion, while the amplitude and
shape of the synaptic events are unaffected by this state change. This method thus
complements existing methods to measure neural function in vivo.
Original language | English |
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Number of pages | 26 |
Journal | Neural Computation |
Early online date | 31 May 2017 |
DOIs | |
Publication status | E-pub ahead of print - 31 May 2017 |
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Ian Duguid
- Deanery of Biomedical Sciences - Personal Chair of Cellular and Systems Neuroscience
- Centre for Discovery Brain Sciences
- Edinburgh Neuroscience
Person: Academic: Research Active