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The Journal of Neuroscience, November 22, 2006, 26(47):12206-12218; doi:10.1523/JNEUROSCI.2813-06.2006

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Behavioral/Systems/Cognitive
Non-Gaussian Membrane Potential Dynamics Imply Sparse, Synchronous Activity in Auditory Cortex

Michael R. DeWeese and Anthony M. Zador

Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724

Correspondence should be addressed to Michael R. DeWeese, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724. Email: deweese{at}cshl.edu

Many models of cortical dynamics have focused on the high-firing regime, in which neurons are driven near their maximal rate. Here we consider the responses of neurons in auditory cortex under typical low-firing rate conditions, when stimuli have not been optimized to drive neurons maximally. We used whole-cell patch-clamp recording in vivo to measure subthreshold membrane potential fluctuations in rat primary auditory cortex in both the anesthetized and awake preparations. By analyzing the subthreshold membrane potential dynamics on single trials, we made inferences about the underlying population activity. We found that, during both spontaneous and evoked responses, membrane potential was highly non-Gaussian, with dynamics consisting of occasional large excursions (sometimes tens of millivolts), much larger than the small fluctuations predicted by most random walk models that predict a Gaussian distribution of membrane potential. Thus, presynaptic inputs under these conditions are organized into quiescent periods punctuated by brief highly synchronous volleys, or "bumps." These bumps were typically so brief that they could not be well characterized as "up states" or "down states." We estimate that hundreds, perhaps thousands, of presynaptic neurons participate in the largest volleys. These dynamics suggest a computational scheme in which spike timing is controlled by concerted firing among input neurons rather than by small fluctuations in a sea of background activity.

Key words: auditory; cortex; whole-cell recording; rat; synchrony; random walk; neural coding

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Received July 2, 2006; revised Sept. 17, 2006; accepted Oct. 17, 2006.

Correspondence should be addressed to Michael R. DeWeese, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724. Email: deweese{at}cshl.edu

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