Reconstructing synaptic background activity from conductance measurements
Quan Zou, Michael Rudolph, Noah Roy, Mavi Sanchez-Vives, Diego Contreras and
Neurocomputing 65: 673-678, 2005.
To reconstruct synaptic background activity, we combined computational models
with intracellular recordings in vivo. A new conductance analysis method
applied to intracellular recordings in the somatosensory cortex of anesthetized
rats revealed mirror changes of excitation and inhibition during the up- and
down-states of slow waves, but concerted changes in conductance variances. We
then used these measurements to constrain the patterns of random release at
excitatory and inhibitory synapses in computational models. We show that
measurements of the mean and variance of conductances are sufficient constraints
to design models fully consistent with in vivo recordings.
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