Resonance, oscillation and the intrinsic frequency preferences of neurons.

By B. Hutcheon, Y. Yarom. Trends in Neurosciences, 2000

1,129 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/0ccf27dce3a970303496532782776b6e3272253e

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In Cellular and Molecular Neuroscience

In Cognitive Neuroscience

In Statistical and Nonlinear Physics

Citations in the corpus

Neurophysiological and Computational Principles of Cortical Rhythms in Cognition (2010, background): “The combination of the two gives rise to a peaked response at a frequency fR intermediate between 1/(2 1) and 1/(2 2) (453).”
Generalising the Kuramoto Model for the study of Neuronal Synchronisation in the Brain (2007, background): “This could be seen as corresponding to the natural firing rate of a neuron [19, 20 ].”
Hyperpolarization-activated cation channels: from genes to function. (2009, neutral): “5E), the reversal potential of Ih falls close to the base of its activation curve (189) (Fig.”
Noninvasive deep brain stimulation via temporally interfering electric fields (2017, positive): “However, some properties of neurons are likely universal—for example, the intrinsic low-pass ﬁltering of electrical signals by the neural membrane (Hutcheon and Yarom, 2000), which prevents neural electrical activity from following very high-frequency oscillating (e.g., R 1 kHz) electric ﬁelds.”
Firing patterns in the adaptive exponential integrate-and-fire model (2008, background): “Chaotic responses have been observed in neuron models as well as real neurons under periodic forcing (Holden 1986; Brumberg and Gutkin 2007).”
Resonate-and-fire neurons (2001, background): “This phenomenon has been seen in many biological neurons (see review by Hutcheon & Yarom, 2000).”
Transcranial Alternating Current Stimulation Enhances Individual Alpha Activity in Human EEG (2010, background): “If repetitive input reaches such circuits, the strength of their neural response depends upon the frequency at which they are stimulated, a phenomenon known as neural resonance [61].”
Bursts as a unit of neural information: selective communication via resonance. (2003, methodology): “In an excellent review paper [24], Hutcheon and Yarom use a band-pass filter formalism similar to the one in Fig.”
Effects of a secure attachment relationship on right brain development, affect regulation, and infant mental health (2001, background): “…different brain rhythms, that a resonant system evolves continuously into a spontaneously oscillatory system as the amplifying conductance is increased, and that amplified resonance can " tune networks to operate in frequency ranges of special biological meaning " (Hutcheon & Yarom, 2000, p. 220).”