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Multi-agent evolutionary design of Flexible Beta Basis Function Neural Tree
2014
2014 International Joint Conference on Neural Networks (IJCNN)
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In the other side, a complex system of Artificial Neural Network called Flexible Beta Basis Function Neural Tree (FBBFNT) has reached a great level in the prediction search domain. ...
Under the awareness of its power, the application of MAS was no more limited to very specific problems, but to almost application area: optimization, neural network, robotics, fuzzy system, etc. ...
CZ.1.05/1.1.00/02.0070 by operational program 'Research and Development for Innovations' funded by the Structural Funds of the European Union and state budget of the Czech Republic, EU. ...
doi:10.1109/ijcnn.2014.6889726
dblp:conf/ijcnn/AmmarBAA14
fatcat:gnrmyb3adjc6heyvgo6ukah52e
A hybrid learning algorithm for evolving Flexible Beta Basis Function Neural Tree Model
2013
Neurocomputing
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In this paper, a tree-based encoding method is introduced to represent the Beta basis function neural network. ...
The proposed model called Flexible Beta Basis Function Neural Tree (FBBFNT) can be created and optimized based on the predefined Beta operator sets. ...
Introduction The initiative of using Beta basis functions for designing Artificial Neural Network was introduced by Alimi in 1997 [21] and in this case the network is called Beta Basis Function Neural ...
doi:10.1016/j.neucom.2013.01.024
fatcat:mx6tfujwlfccfon42yi3dmiw7a
Extended immune programming and opposite-based PSO for evolving flexible beta basis function neural tree
2013
2013 IEEE International Conference on Cybernetics (CYBCO)
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In this paper, a new hybrid learning algorithm based on the global optimization techniques, is introduced to evolve the Flexible Beta Basis Function Neural Tree (FBBFNT). ...
The structure is developed using the Extended Immune Programming (EIP) and the Beta parameters and connected weights are optimized using the Opposite-based Particle Swarm Optimization (OPSO) algorithm. ...
Beta basis function neural network. ...
doi:10.1109/cybconf.2013.6617425
dblp:conf/cybconf/BouazizAA13
fatcat:2sf27ntea5gbrkhs2ojhyhzsbe
Neural evidence for image quality perception based on algebraic topology
2021
PLoS ONE
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In this paper, the algebraic topological characteristics of brain networks composed of electroencephalogram(EEG) signals induced by different quality images were studied, and on that basis, a neurophysiological ...
Our approach acquired quality perception-related neural information via integrating the EEG collection with conventional image assessment procedures, and the physiologically meaningful brain responses ...
experiment leading to these results has been performed in Key Lab of Film and TV Media Technology of Zhejiang Province and Shaanxi Joint International Research Center on Integrated Technique of Brain-Computer for ...
doi:10.1371/journal.pone.0261223
pmid:34914746
pmcid:PMC8675722
fatcat:uacbaekeqrbglgtnzfcdmgsd7u
Large-scale network dynamics of beta-band oscillations underlie auditory perceptual decision-making
2017
Network Neuroscience
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We traced the large-scale network dynamics of the source-projected neural oscillations on a trial-by-trial basis using power-envelope correlations and graph-theoretical network discovery. ...
Our findings suggest that global network communication during perceptual decision-making is implemented in the human brain by large-scale couplings between beta-band neural oscillations. ...
Cortical regions where the network states of beta-band oscillations differentially predicted decision speed during the pitch versus the direction task. ...
doi:10.1162/netn_a_00009
pmid:29911668
pmcid:PMC5988391
fatcat:vwnqcvvx2fhfthzahx65sck4qe
Large-scale network dynamics of beta-band oscillations underlie auditory perceptual decision making
[article]
2016
bioRxiv
pre-print
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We traced the large-scale network dynamics of source-projected neural oscillations on a trial-by-trial basis using power envelope correlations and graph-theoretical network discovery. ...
Our findings suggest that global network communication during perceptual decision-making is implemented in the human brain by large-scale couplings between beta-band neural oscillations. ...
Figure 5 Cortical regions where network states of beta-band oscillations differentially predict decision speed during the pitch as compared to the direction task. ...
doi:10.1101/095356
fatcat:om55eib7pnfdhpz7co7qhqzqrm
New application of intelligent agents in sporadic Amyotrophic Lateral Sclerosis identifies unexpected specific genetic background
2008
BMC Bioinformatics
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Advanced intelligent systems based on novel coupling of artificial neural networks and evolutionary algorithms have been applied. ...
neural networks and evolutionary algorithms have been applied. ...
Alameda -CA -USA for supporting us with the arrays. We thank Drs. R. Causarano, S. Jann and R. ...
doi:10.1186/1471-2105-9-254
pmid:18513389
pmcid:PMC2443147
fatcat:uesxscbinnh2tny7ka66eemjmq
I see what you mean: Theta power increases are involved in the retrieval of lexical semantic information
2008
Brain and Language
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An influential hypothesis regarding the neural basis of the mental lexicon is that semantic representations are neurally implemented as distributed networks carrying sensory, motor and/or more abstract ...
A time-frequency analysis of the EEG revealed power increases in the theta (4-7 Hz) and lower-beta (13-18 Hz) frequency bands, and an early power increase and subsequent decrease for the alpha (8-12 Hz ...
in which there is no neural specificity as a function of semantic property. ...
doi:10.1016/j.bandl.2007.10.006
pmid:18262262
fatcat:3hxickhlrfdxnp33m3ac2sasqi
Frizzled7 dictates embryonic morphogenesis: implications for colorectal cancer progression
2007
Frontiers in Bioscience
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Moreover, a role for Fz7 in neural crest cell induction may be conserved through evolution. ...
Based on these phenotype changes, de-differentiation at the invasive front is referred to as an EMT. ...
doi:10.2741/2410
pmid:17485397
fatcat:anb2hinzu5cjfhutrvgwppeane
Origin of the Chordate Notochord
2021
Diversity
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The phylum of Chordata is defined based on the discovery of a coelom-like dorsal notochord in ascidian and amphioxus embryos. ...
Two main hypotheses for the origin of the notochord were proposed, the de novo theory and the axochord theory. ...
The flexible and hard chord provides the basis for a more controlled and rapid movement and protection for the neural tube. ...
doi:10.3390/d13100462
fatcat:4xehufhow5b3hie5d7ovdlodpu
The Quantum-Like Brain Operating on Subcognitive and Cognitive Time Scales
[article]
2007
arXiv
pre-print
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The brain uses the QL rule (given by von Neumann trace formula) for calculation of approximative averages for mental functions, but the physical basis of mental functions is given by neural networks in ...
Moreover, we shall propose a model in that the QL representation is based on conventional neurophysiological model of the functioning of the brain. ...
In opposite to views of quantum (physical) reductionists of brain's functioning -e.g. ...
arXiv:0707.1129v1
fatcat:urwsqi2xkza23cxmt5qnxqcoje
Neural oscillations underlying selective attention follow sexually divergent developmental trajectories during adolescence
2021
Developmental Cognitive Neuroscience
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Sex-specific effects indicated that females had greater theta interference activity in the anterior insula, whereas males showed differential effects in theta and alpha/beta oscillations across frontoparietal ...
Selective attention processes are critical to everyday functioning and are known to develop through at least young adulthood. ...
Males exhibited positive associations between neural interference effects and age, while females showed the opposite pattern. ...
doi:10.1016/j.dcn.2021.100961
pmid:33984667
pmcid:PMC8131898
fatcat:wowxefcdt5gefnorl4kvozadji
Harmonic brain modes: a unifying framework for linking space and time in brain dynamics
[article]
2017
bioRxiv
pre-print
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modes not only establishes a relation between the spatial structure of correlation patterns and temporal oscillations (linking space and time in brain dynamics), but also enables a new dimension of tools for ...
Here, we introduce the concept of "harmonic brain modes" - fundamental building blocks of complex spatiotemporal patterns of neural activity. ...
differentiated (Tononi & Edelman, 1998) indicating the need for a large repertoire of highly differentiated brain states. ...
doi:10.1101/162040
fatcat:hihiyoqpbzcina5axi4acczzmm
Harmonic Brain Modes: A Unifying Framework for Linking Space and Time in Brain Dynamics
2017
The Neuroscientist
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modes not only establishes a relation between the spatial structure of correlation patterns and temporal oscillations (linking space and time in brain dynamics), but also enables a new dimension of tools for ...
Here, we introduce the concept of "harmonic brain modes" -fundamental building blocks of complex spatiotemporal patterns of neural activity. ...
The most commonly used neural field equations are Wilson-Cowan equations (Wilson & Cowan, 1973) expressing the evolution of neural excitatory and inhibitory neural activity as a set of coupled differential ...
doi:10.1177/1073858417728032
pmid:28863720
fatcat:ll3bahtwxreqbpropmgs7as5jm
Memetic evolutionary multi-objective neural network classifier to predict graft survival in liver transplant patients
2011
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation - GECCO '11
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To tackle this problem, we use a multi-objective evolutionary algorithm for training generalized radial basis functions neural networks. ...
We use a generalized version of the standard Radial Basis Function Neural Network (RBFNN), based on the probability density function of the Generalized Gaussian Distribution (GGD). ...
The fundamental bases of this algorithm are Differential Evolution (DE) and the concept of Pareto dominance. ...
doi:10.1145/2001858.2002037
dblp:conf/gecco/Cruz-RamirezCFBMH11
fatcat:wtqzmdgjkvekhhzvcgltvyiz5i
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