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Weak Phase-Resetting in Neural Oscillators

Authors: R, Butera; A, Preyer;

Weak Phase-Resetting in Neural Oscillators

Abstract

Phase-resetting experiments have frequently been employed to understand the input/output dynamics of oscillatory physiological systems, such as the respiratory and cardiovascular systems. Analogous techniques based on phase-oscillator models have often been used in computational studies of neuronal networks. These models are often simplified by assuming weak coupling between neurons. This assumption has powerful ramifications for both experimental and theoretical studies, yet it has never been demonstrated in living neurons. Here we examine phase response curves (PRCs) for neurons with different stimulus waveforms. Focusing on amplitude, we show that weak amplitude stimuli create PRCs that scale linearly with amplitude, while strong do not. This is the first step in demonstrating that weak coupling occurs in living neurons. We also show that this notion of weak coupling is more stringent than the geometric classification of weak coupling frequently associated with experimental PRC analysis.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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