Results 101 to 110 of about 3,221,975 (292)

Attractors of dynamical systems

open access: yesIzvestiya VUZ. Applied Nonlinear Dynamics, 1997
In this lection the definition of an attractor of а dissipative dynamical system is introduced. Classification of existing types of atiractors and analysis of their characterictics are presented. The discussed problems are illustrated by the results of numerical simulation using a number of real examples.
openaire   +1 more source

Dynamical systems, attractors, and neural circuits [PDF]

open access: yesF1000Research, 2016
Biology is the study of dynamical systems. Yet most of us working in biology have limited pedagogical training in the theory of dynamical systems, an unfortunate historical fact that can be remedied for future generations of life scientists. In my particular field of systems neuroscience, neural circuits are rife with nonlinearities at all levels of ...
openaire   +3 more sources

Can we identify non-stationary dynamics of trial-to-trial variability?" [PDF]

open access: yes, 2014
Identifying sources of the apparent variability in non-stationary scenarios is a fundamental problem in many biological data analysis settings. For instance, neurophysiological responses to the same task often vary from each repetition of the same ...
Alejandro Tabas-Diaz   +11 more
core   +1 more source

Pathways and pitfalls: a qualitative study of student experiences in biomedical science education

open access: yesFEBS Open Bio, EarlyView.
Biomedical science students from underrepresented backgrounds face barriers including financial strain, disrupted laboratory access and cultural exclusion. Peer networks provide vital support when institutional systems are difficult to navigate. To create inclusive learning environments and achieve academic success, educators should blend active, hands‐
Olivia J. Russell   +8 more
wiley   +1 more source

Energy landscapes of resting-state brain networks

open access: yesFrontiers in Neuroinformatics, 2014
During rest, the human brain performs essential functions such as memory maintenance, which are associated with resting-state brain networks (RSNs) including the default-mode network (DMN) and frontoparietal network (FPN).
Takamitsu eWatanabe   +9 more
doaj   +1 more source

Importin 7 mediates the nuclear import of HIV‐1 integrase via a specific interacting interface

open access: yesFEBS Open Bio, EarlyView.
HIV‐1 integrase enables viral DNA integration into the host genome. By binding to the core domain of the host protein Importin 7 via its C‐terminal domain, the integrase is transported across the nuclear membrane into the nucleus, where integration of the viral genome into host DNA takes place. This translocation is a critical step for subsequent viral
Juana Bana   +5 more
wiley   +1 more source

General Dynamics Corporation Report GA-1612

open access: yes, 1960
From preface: This report presents the status of design of the MGCR prototype plant as of July 1 ...
General Dynamics Corporation
core  

A new flow chip in combination with multiphoton microscopy as a protocol for longitudinal 3D imaging of tissue calcification under shear stress

open access: yesFEBS Open Bio, EarlyView.
Miniaturized flow chip platform enabling continuous perfusion and longitudinal multiphoton 3D imaging of vascular smooth muscle cell constructs under physiological flow. Brightfield imaging guides region selection, while CellTracker Green and mRuby‐labeled fetuin‐A visualize cells and mineral deposition, respectively. Magnesium supplementation markedly
Vytautas Kučikas   +6 more
wiley   +1 more source

Metastability of Neuronal Dynamics during General Anesthesia: Time for a Change in Our Assumptions?

open access: yesFrontiers in Neural Circuits, 2017
There is strong evidence that anesthetics have stereotypical effects on brain state, so that a given anesthetic appears to have a signature in the electroencephalogram (EEG), which may vary with dose.
Andrew E. Hudson
doaj   +1 more source

Symbolic dynamics and periodic orbits of the Lorenz attractor* [PDF]

open access: yes, 2003
The butterfly-like Lorenz attractor is one of the best known images of chaos. The computations in this paper exploit symbolic dynamics and other basic notions of hyperbolicity theory to take apart the Lorenz attractor using periodic orbits.
Viswanath, Divakar
core   +1 more source

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