scholarly journals Fur Seals Suppress REM Sleep for Very Long Periods without Subsequent Rebound

2018 ◽  
Vol 28 (12) ◽  
pp. 2000-2005.e2 ◽  
Author(s):  
Oleg I. Lyamin ◽  
Peter O. Kosenko ◽  
Svetlana M. Korneva ◽  
Alexei L. Vyssotski ◽  
Lev M. Mukhametov ◽  
...  
Keyword(s):  
Rem Sleep ◽  
Fur Seals

scholarly journals The adjustable REM sleep in Fur Seals

2018 ◽  
Vol 04 (04) ◽  
Author(s):  
Oleg Lyamin ◽  
Jerome Siegel
Keyword(s):  
Rem Sleep ◽  
Fur Seals

Spectral and Topographic Microstructure of Brain Alpha Activity During Drowsiness at Sleep Onset and REM Sleep

2000 ◽  
Vol 14 (3) ◽  
pp. 151-158 ◽  
Author(s):  
José Luis Cantero ◽  
Mercedes Atienza
Keyword(s):  
Rem Sleep ◽  
Spectral Component ◽  
Sleep Onset ◽  
Quantitative Information ◽  
Maximum Energy ◽  
Alpha Activity ◽  
The Other ◽  
Classification Algorithms ◽  
Microstructural Properties ◽  
Brain States

Abstract High-resolution frequency methods were used to describe the spectral and topographic microstructure of human spontaneous alpha activity in the drowsiness (DR) period at sleep onset and during REM sleep. Electroencephalographic (EEG), electrooculographic (EOG), and electromyographic (EMG) measurements were obtained during sleep in 10 healthy volunteer subjects. Spectral microstructure of alpha activity during DR showed a significant maximum power with respect to REM-alpha bursts for the components in the 9.7-10.9 Hz range, whereas REM-alpha bursts reached their maximum statistical differentiation from the sleep onset alpha activity at the components between 7.8 and 8.6 Hz. Furthermore, the maximum energy over occipital regions appeared in a different spectral component in each brain activation state, namely, 10.1 Hz in drowsiness and 8.6 Hz in REM sleep. These results provide quantitative information for differentiating the drowsiness alpha activity and REM-alpha by studying their microstructural properties. On the other hand, these data suggest that the spectral microstructure of alpha activity during sleep onset and REM sleep could be a useful index to implement in automatic classification algorithms in order to improve the differentiation between the two brain states.

The significance of non-REM sleep for memory processes in elderly subjects

2004 ◽  
Vol 36 (05) ◽  
Author(s):  
N Albrecht ◽  
OP Hornung ◽  
F Regen ◽  
H Danker-Hopfe ◽  
M Schreqdl ◽  
...  
Keyword(s):  
Rem Sleep ◽  
Elderly Subjects ◽  
Memory Processes

Influence of intrinsic variation on foraging behaviour of adult female Australian fur seals

2015 ◽  
Vol 526 ◽  
pp. 227-239 ◽  
Author(s):  
AJ Hoskins ◽  
DP Costa ◽  
KE Wheatley ◽  
JR Gibbens ◽  
JPY Arnould
Keyword(s):  
Adult Female ◽  
Foraging Behaviour ◽  
Fur Seals
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