Literature DB >> 17122045

Non-Gaussian membrane potential dynamics imply sparse, synchronous activity in auditory cortex.

Michael R DeWeese1, Anthony M Zador.   

Abstract

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.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 17122045      PMCID: PMC6675435          DOI: 10.1523/JNEUROSCI.2813-06.2006

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  73 in total

1.  Higher-order interactions characterized in cortical activity.

Authors:  Shan Yu; Hongdian Yang; Hiroyuki Nakahara; Gustavo S Santos; Danko Nikolić; Dietmar Plenz
Journal:  J Neurosci       Date:  2011-11-30       Impact factor: 6.167

2.  Response to Koch: Elaborations on the SCP hypothesis.

Authors:  Biyu J He; Marcus E Raichle
Journal:  Trends Cogn Sci       Date:  2009-09-01       Impact factor: 20.229

3.  Circuit topology for synchronizing neurons in spontaneously active networks.

Authors:  Naoya Takahashi; Takuya Sasaki; Wataru Matsumoto; Norio Matsuki; Yuji Ikegaya
Journal:  Proc Natl Acad Sci U S A       Date:  2010-05-17       Impact factor: 11.205

4.  Gating of signal propagation in spiking neural networks by balanced and correlated excitation and inhibition.

Authors:  Jens Kremkow; Ad Aertsen; Arvind Kumar
Journal:  J Neurosci       Date:  2010-11-24       Impact factor: 6.167

Review 5.  Packet-based communication in the cortex.

Authors:  Artur Luczak; Bruce L McNaughton; Kenneth D Harris
Journal:  Nat Rev Neurosci       Date:  2015-10-28       Impact factor: 34.870

6.  Somatodendritic integration under increased network activity in layer 5 pyramidal cells of the somatosensory cortex.

Authors:  Florian B Neubauer; Thomas Berger
Journal:  Pflugers Arch       Date:  2007-10-20       Impact factor: 3.657

7.  Distribution of correlated spiking events in a population-based approach for Integrate-and-Fire networks.

Authors:  Jiwei Zhang; Katherine Newhall; Douglas Zhou; Aaditya Rangan
Journal:  J Comput Neurosci       Date:  2013-07-13       Impact factor: 1.621

8.  Reduction of spike afterdepolarization by increased leak conductance alters interspike interval variability.

Authors:  Fernando R Fernandez; John A White
Journal:  J Neurosci       Date:  2009-01-28       Impact factor: 6.167

Review 9.  Correlations and brain states: from electrophysiology to functional imaging.

Authors:  Adam Kohn; Amin Zandvakili; Matthew A Smith
Journal:  Curr Opin Neurobiol       Date:  2009-07-15       Impact factor: 6.627

10.  Spontaneous events outline the realm of possible sensory responses in neocortical populations.

Authors:  Artur Luczak; Peter Barthó; Kenneth D Harris
Journal:  Neuron       Date:  2009-05-14       Impact factor: 17.173

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.