The gamma cycle.
By Pascal Fries, Danko Nikolic, Wolf Singer. Trends in Neurosciences, 2007
1,155 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/346d75f28654022aff73508fd40a60f57e77a854
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cellular and Molecular Neuroscience
- Xiao-Jing Wang
- Martin A. Vinck
- György Buzsáki
- Ole Jensen
- Pascal Fries
- F. H. Lopes da Silva
- Edvard I. Moser
- Nikos K. Logothetis
In Cognitive Neuroscience
- Xiao-Jing Wang
- György Buzsáki
- Martin A. Vinck
- Ole Jensen
- Pascal Fries
- John E. Lisman
- Stefano Panzeri
- Earl K. Miller
In Molecular Biology
- Ole Jensen
- John E. Lisman
- Stefano Panzeri
- Nikos K. Logothetis
- Wolf Singer
- Christoph Kayser
- Martin A. Vinck
- Chrisantha Fernando
Citations in the corpus
- Phase-dependent neuronal coding of objects in short-term memory (2009, background): “The strength of excitation relative to rhythmic inhibition determines the phase of spiking during neural oscillations (9, 12, 13, 18, 56).”
- EEG and MEG: relevance to neuroscience. (2013, background): “…the basis of the ‘‘communication through coherence’’ hypothesis (Womelsdorf and Fries, 2007) Furthermore, g oscillations can work as the carrier mechanism of ‘‘phase coding,’’ where the stronger the stimuli, the earlier the phase relative to the g cycle at which spikes occur (Fries et al., 2007).”
- Coherent theta oscillations and reorganization of spike timing in the hippocampal- prefrontal network upon learning. (2010, positive): “This would help filter and select signals to be processed and transmitted to other areas, possibly supported by the emergence of highly synchronized activations of cell groups or cell assemblies representing a highly effective input for afferent structures (Hebb, 1949; Fries, 2005; Fries et al., 200”
- Progress Towards Biocompatible Intracortical Microelectrodes for Neural Interfacing Applications (2014, background): “Second, the power line frequency of 50 Hz is a frequency in the middle of the so-called ‘gamma range’ which is thought to reflect a number of important brain functions [50, 51].”
- Neural correlates of high-gamma oscillations (60–200 Hz) in macaque local field potentials and their potential implications in electrocorticography (2008, background): “, 2007), controlling the communication channels between input and output neural assemblies (Fries, 2005; Womelsdorf and Fries, 2006), and setting a temporal reference frame so that latency or rank-ordering of spike times with respect to the gamma cycle can carry information (Buzsáki and Chrobak, 199”
- Broadband shifts in LFP power spectra are correlated with single-neuron spiking in humans (2009, methodology): “In previous work, LFP recordings have typically been analyzed in terms of narrowband oscillations, which indicate that nearby neurons are synchro- nously spiking at a particular frequency (Buzsáki, 2006; Fries et al., 2007; Jensen et al., 2007).”
- Why fish do not feel pain (2016, background): “In order to begin to address whether fish can feel pain, I propose that it is necessary to first understand the neural basis of pain in humans, since it is the only species able to directly report on its feelings.”
- Attentional Stimulus Selection through Selective Synchronization between Monkey Visual Areas (2012, neutral): “The earlier entry together with feedforward inhibition makes the attended V1 input entrain V4 at the expense of the unattended V1 input (Fries et al., 2007; Vinck et al., 2010).”
- Gamma frequency entrainment attenuates amyloid load and modifies microglia (2016, neutral): “Many studies have shown that visual stimulation can drive oscillations in the gamma range 2,23 .”
- A second function of gamma-frequency oscillations: a E%-max winner-take-all mechanism selects which cells fire (2009, background): “Importantly, inhibition itself is modulated at gamma frequency (Soltesz and Deschênes, 1993); indeed, gamma oscillations appears to arise through a feedback process in which principal cells excite interneurons, which then inhibit the principal cells (Miles, 1990; Fisahn et al., 1998; Bartos et al., ”
- Copying and Evolution of Neuronal Topology (2008, methodology): “STDP models have indeed been shown to be capable of refining topographic maps [37] (see Figure 6 of that paper), and recently it is observed that the gamma cycle can implement a rapidly repeating winner-take-all algorithm [55].”
- A Small World of Neuronal Synchrony (2008, background): “processing (Gray 1999; Singer 1999; Fries et al. 2007), it is possible that important interactions occur also at longer time”
- Distributed processing and temporal codes in neuronal networks (2009, background): “It has been proposed that this subthreshold modulation of excitability facilitates rapid synchronization of responses once stimuli are available, thereby enhancing transmission across multiple cortical stages (Fries et al. 2001a, 2007).”