Results 41 to 50 of about 2,542,892 (318)

Characteristics of temporal fluctuations in the hyperpolarized state of the cortical slow oscillation [PDF]

open access: yes, 2008
We present evidence for the hypothesis that transitions between the low- and high-firing states of the cortical slow oscillation correspond to neuronal phase transitions. By analyzing intracellular recordings of the membrane potential during the cortical
Barry, Melissa   +4 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.
Li, Xiaoli   +5 more
core   +2 more sources

Inter-network interactions: impact of connections between oscillatory neuronal networks on oscillation frequency and pattern.

open access: yesPLoS ONE, 2014
Oscillations in electrical activity are a characteristic feature of many brain networks and display a wide variety of temporal patterns. A network may express a single oscillation frequency, alternate between two or more distinct frequencies, or ...
Oscar J Avella Gonzalez   +4 more
doaj   +1 more source

Oscillations Governed by the Incoherent Dynamics in Necroptotic Signaling

open access: yesFrontiers in Physics, 2021
Emerging evidences have suggested that oscillation is important for the induction of cell death. However, whether and how oscillation behavior is involved and required for necroptosis remain elusive.
Fei Xu   +12 more
doaj   +1 more source

Dynamics of Coupled Adaptive Elements : Bursting and Intermittent Oscillations Generated by Frustration in Networks [PDF]

open access: yes, 2009
Adaptation to environmental change is a common property of biological systems. Cells initially respond to external changes in the environment, but after some time, they regain their original state.
A. P. Gasch   +11 more
core   +1 more source

NECESSARY AND SUFFICIENT TAUBERIANCONDITIONS UNDER WHICH CONVERGENCEFOLLOWS FROM SUMMABILITY Ar,p

open access: yesПроблемы анализа, 2021
In this paper, we introduce the summability method Ar,p and obtain necessary and sufficient Tauberian conditions under which the ordinary convergence of a sequence follows from itssummability Ar,p.
C. Kambak, I. Canak
doaj   +1 more source

Reproducing Infra-Slow Oscillations with Dopaminergic Modulation [PDF]

open access: yesScientific Reports, 2017
AbstractIn the human brain, billions of neurons construct a neural network via synaptic connections. Neuronal excitation and inhibition are transmitted to other neurons through synapses via neurotransmitters. Dopamine is one of these neurotransmitters that plays a number of important roles.
Toshihiro Kobayashi   +3 more
openaire   +3 more sources

Multiscale dynamics underlying neocortical slow oscillations [PDF]

open access: yes, 2021
ABSTRACTSlow oscillations in the sleeping and anesthetized brain invariantly emerge as an alternation between Up (high firing) and Down (almost quiescent) states. In cortex, they occur simultaneously in cell assemblies in different layers and propagate as traveling waves, a concerted activity at multiple scales whose interplay and role is still under ...
Maurizio Mattia   +5 more
openaire   +1 more source

Laminar-dependent effects of cortical state on auditory cortical spontaneous activity

open access: yesFrontiers in Neural Circuits, 2012
Cortical circuits spontaneously generate coordinated activity even in the absence of external inputs. The character of this activity depends on cortical state.
Shuzo eSakata, Kenneth D Harris
doaj   +1 more source

Intrinsic Coupling between Gamma Oscillations, Neuronal Discharges, and Slow Cortical Oscillations during Human Slow-Wave Sleep [PDF]

open access: yesThe Journal of Neuroscience, 2010
In the first electrocorticograms, Richard [Caton (1877)][1] connected a mirror galvanometer to exposed rabbit brains and observed slow sleep-related fluctuations. Several decades later, [Loomis et al. (1937)][2] applied the then-fledgling technique of scalp EEG to classify sleep stages in humans,
Sarang S, Dalal   +3 more
openaire   +2 more sources

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