Results 51 to 60 of about 7,396,511 (284)

Ripples Make Waves: Binding Structured Activity and Plasticity in Hippocampal Networks

open access: yesNeural Plasticity, 2011
Establishing novel episodic memories and stable spatial representations depends on an exquisitely choreographed, multistage process involving the online encoding and offline consolidation of sensory information, a process that is largely dependent on the
Josef H. L. P. Sadowski   +2 more
doaj   +1 more source

An evolutionary computing frame work toward object extraction from satellite images

open access: yesEgyptian Journal of Remote Sensing and Space Sciences, 2013
Image interpretation domains have witnessed the application of many intelligent methodologies over the past decade; however the effective use of evolutionary computing techniques for feature detection has been less explored.
P.V. Arun, S.K. Katiyar
doaj   +1 more source

Metastatic niche shaped by host factors influences disseminated cancer cell fate

open access: yesFEBS Letters, EarlyView.
Metastasis is shaped not only by cancer cells but also by the environments they encounter. This review explores how factors such as aging, diet, the microbiome, lifestyle, and environmental exposures remodel organ‐specific niches in the lung, liver, bone, and brain, influencing where metastatic cells survive, remain dormant, or grow, and ultimately ...
Gwennan Delyth Ward   +2 more
wiley   +1 more source

Striatal cholinergic interneuron membrane voltage tracks locomotor rhythms in mice

open access: yesNature Communications, 2023
Rhythmic neural network activity has been broadly linked to behavior. However, it is unclear how membrane potentials of individual neurons track behavioral rhythms, even though many neurons exhibit pace-making properties in isolated brain circuits.
Sanaya N. Shroff   +9 more
doaj   +1 more source

Going viral − Virus‐targeting nanobodies for research, diagnostics and therapy

open access: yesFEBS Letters, EarlyView.
The increasing prevalence of viral diseases represents a major threat for global human health. Nanobodies, small binding fragments derived from camelid heavy‐chain antibodies, offer versatile tools for viral research, diagnostics, and antiviral therapy.
Domenic Ebert, Ulrich Rothbauer
wiley   +1 more source

Artificial neural networks enable genome-scale simulations of intracellular signaling

open access: yesNature Communications, 2022
Many diseases are caused by disruptions to the network of biochemical reactions that allow cells to respond to external signals. Here Nilsson et al develop a method to simulate cellular signaling using artificial neural networks to predict cellular ...
Avlant Nilsson   +4 more
doaj   +1 more source

How structural disorder and polyelectrolyte properties of prothymosin α enable its large interactome

open access: yesFEBS Letters, EarlyView.
In this review, complexes of the fully disordered and highly negatively charged prothymosin α are collected, described, and discussed. Linked to its poly‐electrostatic character, prothymosin α engages a large interactome through multiple different binding modes ranging from fully disordered complexes to short linear motif (SLiM)‐driven interactions ...
Ketty C. Tamburrini   +3 more
wiley   +1 more source

Prediction of the moderator temperature field in a heavy water reactor based on a cellular neural network

open access: yesNuclear Energy and Technology, 2017
Reactors with heavy water coolants and moderators have been used extensively in today's power industry. Monitoring of the moderator condition plays an important role in ensuring normal operation of a power plant.
S.O. Starkov, Y.N. Lavrenkov
doaj   +1 more source

Boolean Feedforward Neural Network Modeling of Molecular Regulatory Networks for Cellular State Conversion

open access: yesFrontiers in Physiology, 2020
The molecular regulatory network (MRN) within a cell determines cellular states and transitions between them. Thus, modeling of MRNs is crucial, but this usually requires extensive analysis of time-series measurements, which is extremely difficult to ...
Sang-Mok Choo   +2 more
doaj   +1 more source

Optimizing Opto-Electronic Cellular Neural Networks Using Bees Swarm Intelligent [PDF]

open access: yesEngineering and Technology Journal, 2010
This paper presents an application of Bees algorithm to the optimization of cellular neural network for opto-electronics design, where cellular neural networks bees are a large – scale nonlinear analog circuit which processes signals in real time.
Hanan A.R.Akkar
doaj   +1 more source

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