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Mechanisms for Phase Shifting in Cortical Networks and their Role in Communication through Coherence

Overview of attention for article published in Frontiers in Human Neuroscience, January 2010
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Title
Mechanisms for Phase Shifting in Cortical Networks and their Role in Communication through Coherence
Published in
Frontiers in Human Neuroscience, January 2010
DOI 10.3389/fnhum.2010.00196
Pubmed ID
Authors

Paul H. Tiesinga, Terrence J. Sejnowski

Abstract

In the primate visual cortex, the phase of spikes relative to oscillations in the local field potential (LFP) in the gamma frequency range (30-80 Hz) can be shifted by stimulus features such as orientation and thus the phase may carry information about stimulus identity. According to the principle of communication through coherence (CTC), the relative LFP phase between the LFPs in the sending and receiving circuits affects the effectiveness of the transmission. CTC predicts that phase shifting can be used for stimulus selection. We review and investigate phase shifting in models of periodically driven single neurons and compare it with phase shifting in models of cortical networks. In a single neuron, as the driving current is increased, the spike phase varies systematically while the firing rate remains constant. In a network model of reciprocally connected excitatory (E) and inhibitory (I) cells phase shifting occurs in response to both injection of constant depolarizing currents and to brief pulses to I cells. These simple models provide an account for phase-shifting observed experimentally and suggest a mechanism for implementing CTC. We discuss how this hypothesis can be tested experimentally using optogenetic techniques.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 237 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 7 3%
France 6 3%
United States 6 3%
Switzerland 2 <1%
Japan 2 <1%
United Kingdom 2 <1%
Netherlands 1 <1%
India 1 <1%
Canada 1 <1%
Other 5 2%
Unknown 204 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 74 31%
Researcher 60 25%
Student > Master 23 10%
Professor 20 8%
Student > Bachelor 10 4%
Other 34 14%
Unknown 16 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 72 30%
Neuroscience 41 17%
Psychology 27 11%
Computer Science 18 8%
Medicine and Dentistry 15 6%
Other 35 15%
Unknown 29 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 February 2021.
All research outputs
#19,949,282
of 25,389,116 outputs
Outputs from Frontiers in Human Neuroscience
#6,014
of 7,672 outputs
Outputs of similar age
#158,691
of 172,924 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#56
of 72 outputs
Altmetric has tracked 25,389,116 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
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