Results 11 to 20 of about 2,280,950 (106)

Bi-Temporal Anodal Transcranial Direct Current Stimulation during Slow-Wave Sleep Boosts Slow-Wave Density but Not Memory Consolidation [PDF]

open access: yesBrain Sciences, 2021
Slow-wave sleep (SWS) has been shown to promote long-term consolidation of episodic memories in hippocampo–neocortical networks. Previous research has aimed to modulate cortical sleep slow-waves and spindles to facilitate episodic memory consolidation ...
Simon Ruch   +7 more
doaj   +3 more sources

Episodic long-term memory formation during slow-wave sleep [PDF]

open access: yeseLife
We are unresponsive during slow-wave sleep but continue monitoring external events for survival. Our brain wakens us when danger is imminent. If events are non-threatening, our brain might store them for later consideration to improve decision-making. To
Flavio J Schmidig   +2 more
doaj   +3 more sources

Determination of the interaction impedance of helix slow-wave structures. [PDF]

open access: yes, 2000
The computer simulation of helix travelling-wave tubes requires accurate information about the phase velocity, interaction impedance and attenuation of the helix slow wave structure at each frequency.
R.G. Carter, Carter, R. G.
core   +5 more sources

Modulating overnight memory consolidation by acoustic stimulation during slow wave sleep – a systematic review and meta-analysis [PDF]

open access: yes, 2021
Study objectives: The low-frequency high-amplitude oscillations of slow wave sleep are considered to promote the consolidation of episodic memory. Previous research suggests that sleep slow waves can be entrained and enhanced by presenting short acoustic
Klöppel, Stefan   +6 more
core   +2 more sources

A continuum model for the dynamics of the phase transition from slow-wave sleep to REM sleep [PDF]

open access: yes, 2010
Previous studies have shown that activated cortical states (awake and rapid eye-movement (REM) sleep), are associated with increased cholinergic input into the cerebral cortex.
Voss, Logan J.   +5 more
core   +1 more source

Decoupling of sleep-dependent cortical and hippocampal interactions in a neurodevelopmental model of schizophrenia [PDF]

open access: yes, 2012
Rhythmic neural network activity patterns are defining features of sleep, but interdependencies between limbic and cortical oscillations at different frequencies and their functional roles have not been fully resolved.
Tricklebank, Mark   +18 more
core   +1 more source

Sleep slow-wave homeostasis and cognitive functioning in children with electrical status epilepticus in sleep [PDF]

open access: yes, 2020
Study objectives: Encephalopathy with electrical status epilepticus in sleep (ESES) is characterized by non-rapid eye movement (non-REM)-sleep-induced epileptiform activity and acquired cognitive deficits.
Plate, Joost D J   +13 more
core   +1 more source

Circadian and homeostatic modulation of sleep spindles in the human electroencephalogram [PDF]

open access: yes, 2004
Sleep spindles are transient EEG oscillations of about 12-16 Hz. Together with slow waves, they hallmark the human non-REM sleep EEG. Sleep spindles originate in the thalamus and are suggested to have a sleep protective function by reducing sensory ...
Knoblauch, Vera
core   +1 more source

Effects of social stimuli on sleep in mice: non-rapid-eye-movement (NREM) sleep is promoted by aggressive interaction but not by sexual interaction [PDF]

open access: yes, 2001
Sleep is generally considered to be a process of recovery from prior wakefulness. In addition to being affected by the duration of the waking period, sleep architecture and sleep EEG also depend on the quality of wakefulness.
Turek, Fred W.   +6 more
core   +1 more source

Neuronal avalanches differ from wakefulness to deep sleep - evidence from intracranial depth recordings in humans [PDF]

open access: yes, 2013
Neuronal activity differs between wakefulness and sleep states. In contrast, an attractor state, called self-organized critical (SOC), was proposed to govern brain dynamics because it allows for optimal information coding.
Viola Priesemann   +11 more
core   +1 more source

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