Figures
Individual neurons may not always hit the global rhythm, but they are strong as a group.
This image artistically depicts a snapshot taken when each neuron in a cortical population is subject to the same periodic stimulus. The darker lines running from left to right represent the response amplitude and phase of each individual neuron. In this study (see Tchumatchenko and Wolf, 10.1371/journal.pcbi.1002239) the authors used a threshold model framework that accounts for the collective encoding of dynamical stimuli by a population of cortical neurons. The paper presents an analytical approach to understanding the key parameters determining the spike dynamics in response to time changing stimuli that are presented in the mean or the variance of the input current.
Image Credit: Tatjana Tchumatchenko, Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany.
Citation: (2011) PLoS Computational Biology Issue Image | Vol. 7(10) October 2011. PLoS Comput Biol 7(10): ev07.i10. https://doi.org/10.1371/image.pcbi.v07.i10
Published: October 27, 2011
Copyright: © 2011 Tchumatchenko. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
This image artistically depicts a snapshot taken when each neuron in a cortical population is subject to the same periodic stimulus. The darker lines running from left to right represent the response amplitude and phase of each individual neuron. In this study (see Tchumatchenko and Wolf, 10.1371/journal.pcbi.1002239) the authors used a threshold model framework that accounts for the collective encoding of dynamical stimuli by a population of cortical neurons. The paper presents an analytical approach to understanding the key parameters determining the spike dynamics in response to time changing stimuli that are presented in the mean or the variance of the input current.
Image Credit: Tatjana Tchumatchenko, Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany.