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- W2226593064 abstract "Neuronal oscillations are a prominent feature of neuronal population activity. Across populations, oscillations exhibit stable phase relations that can be highly diverse across nearby sites. Phase relation diversity is prominent even for high-frequency (>40 Hz) oscillations during sustained visual stimulation, and is therefore neither restricted to low frequencies nor to periods outside of sensory processing. Arguing for its computation relevance, this diversity is modulated by both sensory and motor events and, for hippocampal theta oscillations, it even allows for reconstructing a rat's location. Phase relation diversity may enhance selectivity of neuronal communication and allow for the concurrent segregation of multiple information streams. This may be particularly relevant for beta oscillations that are coherent across frontal and parietal brain areas. Neuronal oscillations at nearby sites in the brain often show phase relations that are consistent across time, yet diverse across space. We discuss recent demonstrations of this phase relation diversity, and show that, contrary to earlier beliefs, this diversity is a general property of oscillations that is neither restricted to low-frequency oscillations nor to periods outside of stimulus processing. Arguing for the computational relevance of phase relation diversity, we discuss that it can be modulated by sensory and motor events, and put forward the idea that phase relation diversity may support effective neuronal communication by (i) enhancing selectivity and (ii) allowing for the concurrent segregation of multiple information streams. Neuronal oscillations at nearby sites in the brain often show phase relations that are consistent across time, yet diverse across space. We discuss recent demonstrations of this phase relation diversity, and show that, contrary to earlier beliefs, this diversity is a general property of oscillations that is neither restricted to low-frequency oscillations nor to periods outside of stimulus processing. Arguing for the computational relevance of phase relation diversity, we discuss that it can be modulated by sensory and motor events, and put forward the idea that phase relation diversity may support effective neuronal communication by (i) enhancing selectivity and (ii) allowing for the concurrent segregation of multiple information streams. correlation across time between a signal and a time-shifted copy of that same signal. degree to which the phase relations between two signals are consistent across non-overlapping time windows. correlation across time between a signal and a time-shifted copy of another signal. data analytic technique that estimates a variable (e.g., the current position of an animal) on the basis of a set of other variables (e.g., neuronal signals). phase at which a neuron with an oscillating membrane potential has the highest probability of generating an action potential in response to excitatory synaptic input. the difference in electric potential between the interior and the exterior of a cell. The membrane potential is especially relevant for cells with voltage-sensitive ion channels, such as neurons: the more positive the membrane potential, the higher the probability that an excitatory synaptic input results in an action potential (produced by a massive opening of voltage-sensitive sodium channels). neuronal signal with a repeating waveform. Such a signal is also said to exhibit periodicity or rhythmicity, and it is reflected in the fact that the autocorrelogram has multiple peaks. particular relation between a low- and a high-frequency signal component, involving that the time-varying amplitude of the high-frequency component predominantly occurs at a particular phase of the low-frequency component. time relation between two periodic signal components, expressed as the fraction of the repeating waveform by which the signals are shifted. variability across signal pairs with regard to their phase relations. waveform over (as a function of) space that changes its position over time. dye that changes its spectral properties in response to voltage changes, allowing it to be used for optical imaging of potential distributions." @default.
- W2226593064 created "2016-06-24" @default.
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- W2226593064 date "2016-02-01" @default.
- W2226593064 modified "2023-09-30" @default.
- W2226593064 title "Diverse Phase Relations among Neuronal Rhythms and Their Potential Function" @default.
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- W2226593064 doi "https://doi.org/10.1016/j.tins.2015.12.004" @default.
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