Neural response to very low-frequency sound in the avian cochlear nucleus

1989 ◽  
Vol 166 (1) ◽  
Author(s):  
MarkE. Warchol ◽  
Peter Dallos
Keyword(s):  
Cochlear Nucleus ◽  
Low Frequency ◽  
Neural Response ◽  
Very Low Frequency ◽  
Frequency Sound

Influence of seabed on very low frequency sound recorded during passage of merchant ships on the New England shelf

2021 ◽  
Vol 149 (5) ◽  
pp. 3294-3300
Author(s):  
D. P. Knobles ◽  
Preston S. Wilson ◽  
Tracianne B. Neilsen ◽  
William S. Hodgkiss
Keyword(s):  
New England ◽  
Low Frequency ◽  
Very Low Frequency ◽  
Frequency Sound

Abnormal interference of very low frequency sound field in shallow water

2021 ◽  
Vol 150 (4) ◽  
pp. A317-A317
Author(s):  
Shengchun Piao ◽  
Yang Dong ◽  
Zhiqiang Wu
Keyword(s):  
Shallow Water ◽  
Low Frequency ◽  
Sound Field ◽  
Very Low Frequency ◽  
Frequency Sound

Very low‐frequency sound transmission in the Arctic seabed

1978 ◽  
Vol 64 (S1) ◽  
pp. S46-S46 ◽  
Author(s):  
A. B. Baggeroer ◽  
S. Koch ◽  
G. W. Shepard ◽  
I. Dyer
Keyword(s):  
Low Frequency ◽  
Sound Transmission ◽  
The Arctic ◽  
Very Low Frequency ◽  
Frequency Sound

Infrasonic Music

2009 ◽  
Vol 19 ◽  
pp. 51-56 ◽  
Author(s):  
Cat Hope
Keyword(s):  
Low Frequency ◽  
Low Frequencies ◽  
Very Low Frequency ◽  
Frequency Sound ◽  
The Way

Low-frequency sound on the cusp of the audible offers the possibility of redefining the way we think about listening to music. As the perception of pitch is lost in very low-frequency sound emissions, an opportunity arises for a different kind of music and a different way of listening. Low frequencies can be engaged to activate responses other than the aural or be used as a kind of “silent activator,” enabling or affecting other sounds. This article explores the possibilities for what may be called an “infrasonic music.”

The Attenuation of Very Low Frequency Brain Oscillations in Transitions from a Rest State to Active Attention

2009 ◽  
Vol 23 (4) ◽  
pp. 191-198 ◽  
Author(s):  
Suzannah K. Helps ◽  
Samantha J. Broyd ◽  
Christopher J. James ◽  
Anke Karl ◽  
Edmund J. S. Sonuga-Barke
Keyword(s):  
Brain Activity ◽  
Sampling Rate ◽  
Low Frequency ◽  
Future Research ◽  
Adhd Symptoms ◽  
Default Mode ◽  
Very Low Frequency ◽  
Wide Range ◽  
Interference Hypothesis ◽  
Mode Interference

Background: The default mode interference hypothesis ( Sonuga-Barke & Castellanos, 2007 ) predicts (1) the attenuation of very low frequency oscillations (VLFO; e.g., .05 Hz) in brain activity within the default mode network during the transition from rest to task, and (2) that failures to attenuate in this way will lead to an increased likelihood of periodic attention lapses that are synchronized to the VLFO pattern. Here, we tested these predictions using DC-EEG recordings within and outside of a previously identified network of electrode locations hypothesized to reflect DMN activity (i.e., S3 network; Helps et al., 2008 ). Method: 24 young adults (mean age 22.3 years; 8 male), sampled to include a wide range of ADHD symptoms, took part in a study of rest to task transitions. Two conditions were compared: 5 min of rest (eyes open) and a 10-min simple 2-choice RT task with a relatively high sampling rate (ISI 1 s). DC-EEG was recorded during both conditions, and the low-frequency spectrum was decomposed and measures of the power within specific bands extracted. Results: Shift from rest to task led to an attenuation of VLFO activity within the S3 network which was inversely associated with ADHD symptoms. RT during task also showed a VLFO signature. During task there was a small but significant degree of synchronization between EEG and RT in the VLFO band. Attenuators showed a lower degree of synchrony than nonattenuators. Discussion: The results provide some initial EEG-based support for the default mode interference hypothesis and suggest that failure to attenuate VLFO in the S3 network is associated with higher synchrony between low-frequency brain activity and RT fluctuations during a simple RT task. Although significant, the effects were small and future research should employ tasks with a higher sampling rate to increase the possibility of extracting robust and stable signals.

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