Event Abstract Back to Event Searching for Autocoherence in the Cortical Network with a Time-Frequency Analysis of the Local Field Potential Samuel P. Burns1, 2*, Robert M. Shapley2, Michael J. Shel1 and Dajun Xing2 1 Courant Institute of Mathematical Sciences, United States 2 New York University, United States Elevated gamma-band activity in the power spectrum of recorded local field potentials (LFP) is a phenomenon that is found in many regions of the brain. The mechanisms that generate this gamma-band activity remain unexplained. In this study we analyze LFP measurements recorded from macaque V1 where visual stimulation evokes a noisy response with peak spectral power in the gamma-band near 40Hz. We are seeking to understand the underlying neural mechanisms that generate gamma-band spectral peaks in V1 cortex. Modeling studies of neuronal networks of inhibitory neurons, and with both inhibitory and excitatory neurons, have found that neurons in these networks may exhibit synchronized spiking or synchronized membrane potentials that give rise to deterministic, harmonic network oscillations in the gamma-band. That such temporally coherent oscillations underlie the experimentally observed gamma-band peak, we refer to as the coherent oscillator hypothesis. To test this hypothesis, we have developed a specialized time series analysis technique to analyze the coherence of the temporal phase content of a signal. This technique uses the continuous Gabor transform (CGT; Mallat 2006) to investigate a signal at each temporal frequency. Using our CGT technique, we formulate a statistical test to compare the coherent oscillator hypothesis against the measurements of LFP in vivo in macaque V1 cortex. In short, the data do not support the coherent oscillator hypothesis. Our interpretation is that the source of the gamma-band spectral peak is a signal of a more stochastic nature, for instance, arising from a resonant network partly driven by random inputs. Conference: Bernstein Symposium 2008, Munich, Germany, 8 Oct - 10 Oct, 2008. Presentation Type: Poster Presentation Topic: All Abstracts Citation: Burns SP, Shapley RM, Shel MJ and Xing D (2008). Searching for Autocoherence in the Cortical Network with a Time-Frequency Analysis of the Local Field Potential. Front. Comput. Neurosci. Conference Abstract: Bernstein Symposium 2008. doi: 10.3389/conf.neuro.10.2008.01.036 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 13 Nov 2008; Published Online: 13 Nov 2008. * Correspondence: Samuel P Burns, Courant Institute of Mathematical Sciences, New York, United States, sburns@cims.nyu.edu Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Samuel P Burns Robert M Shapley Michael J Shel Dajun Xing Google Samuel P Burns Robert M Shapley Michael J Shel Dajun Xing Google Scholar Samuel P Burns Robert M Shapley Michael J Shel Dajun Xing PubMed Samuel P Burns Robert M Shapley Michael J Shel Dajun Xing Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.