Lessons from a Minimal Genome: What Are the Essential Organizing Principles of a Cell Built from Scratch?
Sign Up to like & getrecommendations! Published in 2019 at "ChemBioChem"
DOI: 10.1002/cbic.201900249
Abstract: One of the primary challenges facing synthetic biology is reconstituting a living system from its component parts. A particularly difficult landmark is reconstituting a self‐organizing system that can undergo autonomous chromosome compaction, segregation, and cell… read more here.
Keywords: lessons minimal; genome essential; biology; self organizing ... See more keywords
Partial coherence and frustration in self‐organizing spherical grids
Sign Up to like & getrecommendations! Published in 2019 at "Hippocampus"
DOI: 10.1002/hipo.23144
Abstract: Nearby grid cells have been observed to express a remarkable degree of long‐range order, which is often idealized as extending potentially to infinity. Yet their strict periodic firing and ensemble coherence are theoretically possible only… read more here.
Keywords: coherence; partial coherence; frustration self; coherence frustration ... See more keywords
Self-Organizing Hidden Markov Model Map (SOHMMM): Biological Sequence Clustering and Cluster Visualization.
Sign Up to like & getrecommendations! Published in 2017 at "Methods in molecular biology"
DOI: 10.1007/978-1-4939-6753-7_6
Abstract: The present study devises mapping methodologies and projection techniques that visualize and demonstrate biological sequence data clustering results. The Sequence Data Density Display (SDDD) and Sequence Likelihood Projection (SLP) visualizations represent the input symbolical sequences… read more here.
Keywords: hidden markov; markov model; organizing hidden; biological sequence ... See more keywords
Intraseasonal variability of the equatorial Pacific Ocean and its relationship with ENSO based on Self-Organizing Maps analysis
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Oceanology and Limnology"
DOI: 10.1007/s00343-020-9328-x
Abstract: We investigated the intraseasonal variability of equatorial Pacific subsurface temperature and its relationship with El Niño-Southern Oscillation (ENSO) using Self-Organizing Maps (SOM) analysis. Variation in intraseasonal subsurface temperature is mainly found along the thermocline. The… read more here.
Keywords: equatorial pacific; variability; variability equatorial; intraseasonal variability ... See more keywords
An analysis of multi-dimensional data containing emphasized items by self-organizing map and its application to sightseeing information analysis
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DOI: 10.1007/s00500-015-2012-y
Abstract: One of the attractive features which a self-organizing map (SOM) possesses is a topology-preserving projection from the input layer to the competitive layer. Generally speaking, its correspondence is developed through training based on information representations… read more here.
Keywords: information; analysis; multi dimensional; dimensional data ... See more keywords
Supervised learning based on the self-organizing maps for forward kinematic modeling of Stewart platform
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DOI: 10.1007/s00521-017-3095-4
Abstract: In this study, we propose an alternative technique for solving the forward kinematic problem of parallel manipulator which is designed based on generalized Stewart platform. The focus of this work is to predict a pose… read more here.
Keywords: vqtam lle; stewart platform; self organizing; forward kinematic ... See more keywords
Incremental learning with a homeostatic self-organizing neural model
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DOI: 10.1007/s00521-019-04112-0
Abstract: AbstractWe present a new self-organized neural model that we term resilient self-organizing tissue (ReST), which can be run as a convolutional neural network, possesses a $$c^\infty $$c∞ energy function as well as a probabilistic interpretation… read more here.
Keywords: neural model; incremental learning; self; learning homeostatic ... See more keywords
Self-organizing mappings on the Grassmannian with applications to data analysis in high dimensions
Sign Up to like & getrecommendations! Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04444-x
Abstract: We propose a method for extending Kohonen’s self-organizing mapping to the geometric framework of the Grassmannian. The resulting algorithm serves as a prototype of the extension of the SOM to the setting of abstract manifolds.… read more here.
Keywords: data analysis; organizing mappings; applications data; self organizing ... See more keywords
An online self-organizing algorithm for feedforward neural network
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DOI: 10.1007/s00521-020-04907-6
Abstract: Feedforward neural network (FNN) is the most popular network model, and the appropriate structure and learning algorithms are the key of its performance. This paper proposes an online self-organizing algorithm for feedforward neural network (OSNN)… read more here.
Keywords: network; self organizing; structure; feedforward neural ... See more keywords
Interactive synthesis and visualization of self-organizing trees for large-scale forest succession simulation
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DOI: 10.1007/s00530-018-0597-6
Abstract: Realistic and interactive visualization of individual trees is a desirable functionality in numerous applications for landscape planning, ecosystem simulations, and forest management. However, achieving a persuasive visualization of extensive forests while maintaining an interactive experience… read more here.
Keywords: large scale; tree synthesis; visualization; simulation ... See more keywords
Constructing observational learning agents using self-organizing maps
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DOI: 10.1007/s10015-019-00574-6
Abstract: Observational learning is a form of social learning whose theory proposes that new behaviors can be acquired through observing and imitating others. We employed Kohonen self-organizing maps to create observational learning agents to model the… read more here.
Keywords: learning; observational learning; organizing maps; self organizing ... See more keywords