Results 121 to 130 of about 3,221,975 (292)
Attractor dynamics with activity-dependent plasticity capture human working memory across time scales. [PDF]
Commun Psychol, 2023 Brennan C, Proekt A.
europepmc +1 more source
FEBS Open Bio, EarlyView.We describe detailed protocols for the purification and preparation of Marchantia polymorpha Auxin Response Factor 2 (MpARF2). This protein is fused to an MBP solubility tag and an mNG fluorescent tag and is purified from Escherichia coli. The presented procedures make it possible to study MpARF2 assemblies, which could arise from phase separation ...
Bas Janssen +5 more
wiley +1 more source
Attractor – a new turning point in drug discovery
Drug Design, Development and Therapy, 2019 Xucan Hou, Meng Li, Congmin Jia, Xianbao Zhang, Yun WangDepartment of Traditional Chinese Medicine Information Fusion and Utilization, Beijing University of Chinese Medicine, Beijing, People’s Republic of ChinaCorrespondence: Yun WangDepartment of ...
Hou X, Li M, Jia C, Zhang X, Wang Y
doaj
Excitatory/inhibitory balance emerges as a key factor for RBN performance, overriding attractor dynamics. [PDF]
Front Comput Neurosci, 2023 Calvet E, Rouat J, Reulet B.
europepmc +1 more source
Simplicial Models for the Global Dynamics of Attractors
Journal of Differential Equations, 2000 The author considers a flow \(\phi\) on a compact metric space \(\mathcal{A}\) which has a Morse decomposition \(\{S_p\}_{p\in P}\) indexed by the partially ordered set \((P,
openaire +1 more source
Recurrent neural networks from learning attractor dynamics
, 2003 Many forms of recurrent neural networks can be understood in terms of dynamic systems theory of difference equations or differential equations. Learning in such systems corresponds to adjusting some internal parameters to obtain a desired time evolution ...
Schaal, S., Peters, J.
core
Flickering state transition before a critical transition in attractor dynamics.
, 2015 (a) and (b) represent critical transitions without and with noise in the attractor dynamics, respectively. The x-axis represents the effector sequence, and the y-axis denotes the state of the system.
Daewon Lee (803680) +2 more
core +1 more source
FEBS Open Bio, EarlyView.TGF‐β1 stimulation downregulates lysosomal channel TRPML1 in pulmonary fibroblasts. The TRPML1 agonist ML‐SA5 suppressed fibroblast‐to‐myofibroblast activation and collagen production. Mechanistically, ML‐SA5 inhibited mTOR phosphorylation, restored autophagic flux, and its effects were enhanced by rapamycin (mTOR inhibitor) and reversed by MHY1485 ...
Jiatong Yao +10 more
wiley +1 more source
FEBS Open Bio, EarlyView.Student engagement extends beyond simple attendance. Across 891 bioscience students from three universities, attendance behaviour was associated mainly with structural influences, whereas classroom spatial behaviour reflected affective and sensory factors.
Nigel Page +4 more
wiley +1 more source
Chronobiology of Cancer: How Aging Fuels Oncogenesis at the Molecular Level
Aging and Cancer, EarlyView.This graphical abstract illustrates the key biological pathways linking aging with cancer development and progression. In the upper left, cumulative exposure to ultraviolet radiation, toxins, and reactive oxygen species (ROS) causes DNA damage and genomic instability, whereas age‐related decline in repair mechanisms, such as ATM/ATR, BER, and NER ...
Anu Singh, Aroonima Misra, Sufian Zaheer
wiley +1 more source