Heterogeneous firing rate response of mice layer V pyramidal
neurons in the fluctuation-driven regime.
Yann Zerlaut, Bartosz Telenczuk, Charlotte Deleuze, Thierry Bal,
Gilles Ouanounou and Alain Destexhe
Journal of Physiology 594: 3791-3808, 2016.
Characterizing the input-output properties of neocortical neurons is of crucial importance to
understand the properties emerging at the network level. In the regime of low-rate irregular
firing (such as in the awake state) determining those properties for neocortical cells remains,
however, both experimentally and theoretically challenging. Here, we studied this problem
using a combination of theoretical modeling and in vitro experiments. We first identified,
theoretically, three somatic variables that describe the dynamical state at the soma in this
fluctuation-driven regime: the mean, standard deviation and time constant of the membrane
potential fluctuations. Next, we characterized the firing rate response of individual layer
V pyramidal cells in this three-dimensional space by means of perforated patch recordings
and dynamic-clamp in the visual cortex of juvenile mice in vitro. We found that, not only,
individual neurons strongly differ in terms of their excitability, but also, and unexpectedly,
in their sensitivities to fluctuations. Finally, using theoretical modeling, we attempted to
reproduce these results. The model predicts that heterogeneous levels of biophysical properties
such as sodium inactivation, sharpness of sodium activation and spike frequency adaptation
account for the observed diversity of firing rate responses. Because the firing rate response
will determine population rate dynamics during asynchronous neocortical activity, our results
show that cortical populations are functionally strongly inhomogeneous in young mice visual
cortex, which should have important consequences on the strategiess of cortical computation
at early stages of sensory processing.
Key points summary
We recreate in vitro the fluctuation-driven regime observed at the soma during asynchronous
network activity in vivo and we study the firing [[ rate response as a function
of the properties of the membrane potential fluctuations.
We provide a simple analytical template that captures the firing response of both pyramidal
neurons and various theoretical models.
We found a strong heterogeneity in the firing rate response of layer V pyramidal neurons.
In particular, individual neurons do not only differ by their mean excitability level, but
also by their sensitivity to fluctuations.
Theoretical modeling suggest that this observed heterogeneity might arise from various
expression levels of the following biophysical properties: sodium inactivation, density of
sodium channels and spike frequency adaptation.
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