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neural network

André David Kovac, Maximilian Koall, Gordon Pipa, Hazem Toutounji
Delays are ubiquitous in biological systems, ranging from genetic regulatory networks and synaptic conductances, to predator/pray population interactions. The evidence is mounting, not only to the presence of delays as physical constraints in signal propagation speed, but also to their functional role in providing dynamical diversity to the systems that comprise them. The latter observation in biological systems inspired the recent development of a computational architecture that harnesses this dynamical diversity, by delay-coupling a single nonlinear element to itself...
2016: PloS One
Frank M J Sommerlandt, Johannes Spaethe, Wolfgang Rössler, Adrian G Dyer
Honeybees learn color information of rewarding flowers and recall these memories in future decisions. For fine color discrimination, bees require differential conditioning with a concurrent presentation of target and distractor stimuli to form a long-term memory. Here we investigated whether the long-term storage of color information shapes the neural network of microglomeruli in the mushroom body calyces and if this depends on the type of conditioning. Free-flying honeybees were individually trained to a pair of perceptually similar colors in either absolute conditioning towards one of the colors or in differential conditioning with both colors...
2016: PloS One
David A Winkler, Tu C Le
Neural networks have generated valuable Quantitative Structure-Activity/Property Relationships (QSAR/QSPR) models for a wide variety of small molecules and materials properties. They have grown in sophistication and many of their initial problems have been overcome by modern mathematical techniques. QSAR studies have almost always used so-called "shallow" neural networks in which there is a single hidden layer between the input and output layers. Recently, a new and potentially paradigm-shifting type of neural network based on Deep Learning has appeared...
October 26, 2016: Molecular Informatics
Burak Himmetoglu
We present an application of the boosted regression tree algorithm for predicting ground state energies of molecules made up of C, H, N, O, P, and S (CHNOPS). The PubChem chemical compound database has been incorporated to construct a dataset of 16 242 molecules, whose electronic ground state energies have been computed using density functional theory. This dataset is used to train the boosted regression tree algorithm, which allows a computationally efficient and accurate prediction of molecular ground state energies...
October 7, 2016: Journal of Chemical Physics
Wei Liu, Changhong Liu, Feng Chen, Jianbo Yang, Lei Zheng
Discrimination of genetically modified organisms is increasingly demanded by legislation and consumers worldwide. The feasibility of a non-destructive discrimination of glyphosate-resistant and conventional soybean seeds and their hybrid descendants was examined by terahertz time-domain spectroscopy system combined with chemometrics. Principal component analysis (PCA), least squares-support vector machines (LS-SVM) and PCA-back propagation neural network (PCA-BPNN) models with the first and second derivative and standard normal variate (SNV) transformation pre-treatments were applied to classify soybean seeds based on genotype...
October 26, 2016: Scientific Reports
Yeliz Karaca, Yudong Zhang, Carlo Cattani
Our purpose is to develop a clinical decision support system to classify the patients' diagnostics based on features gathered from Magnetic Resonance Imaging (MRI) and Expanded Disability Status Scale (EDSS). We studied 120 patients and 19 healthy individuals (not afflicted with MS) have been studied for this study. Healthy individuals in the control group do not have any complaint or drug use history. For the kernel trick, efficient performance in non-linear classification, the Convex Combination of Infinite Kernels model was developed to measure the health status of patients based on features gathered from MRI and EDSS...
October 24, 2016: CNS & Neurological Disorders Drug Targets
Kłosińska-Szmurło Ewa, Mazurek Aleksander Paweł, Grudzień Monika, Betlejewska-Kielak Katarzyna
BACKGROUND: Two main factors, which have an influence on oral absorption from solid, immediate release dosage form, are solubility and permeability. These are considered the main fundamental properties that govern the rate and extent of oral absorption. The significance of these properties has been highlighted in the Biopharmaceutics Classification System (BCS). OBJECTIVE: The concept of this paper was to predict the solubility and permeability of fluoroquinolones using in silico methods based on the assumptions of the BCS...
October 14, 2016: Current Computer-aided Drug Design
Christos Koutlis, Dimitris Kugiumtzis
Measures of Granger causality on multivariate time series have been used to form the so-called causality networks. A causality network represents the interdependence structure of the underlying dynamical system or coupled dynamical systems, and its properties are quantified by network indices. In this work, it is investigated whether network indices on networks generated by an appropriate Granger causality measure can discriminate different coupling structures. The information based Granger causality measure of partial mutual information from mixed embedding (PMIME) is used to form causality networks, and a large number of network indices are ranked according to their ability to discriminate the different coupling structures...
September 2016: Chaos
Florian P Fischmeister, Mauricio J D Martins, Roland Beisteiner, W Tecumseh Fitch
Humans generate recursive hierarchies in a variety of domains, including linguistic, social and visuo-spatial modalities. The ability to represent recursive structures has been hypothesized to increase the efficiency of hierarchical processing. Theoretical work together with recent empirical findings suggests that the ability to represent the self-similar structure of hierarchical recursive stimuli may be supported by internal neural representations that compress raw external information and increase efficiency...
September 23, 2016: Cortex; a Journal Devoted to the Study of the Nervous System and Behavior
Negar Seyedhassantehrani, Roya Karimi, Gholamreza Tavoosidana, Amir Amani
Problems commonly associated with using nanoemulsions are their cytotoxic effects and low stability profiles. Here, for the first time, concentrations of ingredients of a nanoemulsion system were investigated to obtain the most stable nanoemulsion system with the least cytotoxic effect on MCF7 cell line. Artificial neural networks (ANNs) were used to model the experimentally obtained data. Surfactant concentration was found to be the dominant factor in determining the stability - surfactant concentration above a critical point made the preparation unstable, while it appeared not to be influencing the cytotoxicity...
October 25, 2016: Pharmaceutical Development and Technology
Jordi Solé-Casals, Karmele López-de-Ipiña Pena, Cesar F Caiafa
This paper proposes a new method for blind inversion of a monotonic nonlinear map applied to a sum of random variables. Such kinds of mixtures of random variables are found in source separation and Wiener system inversion problems, for example. The importance of our proposed method is based on the fact that it permits to decouple the estimation of the nonlinear part (nonlinear compensation) from the estimation of the linear one (source separation matrix or deconvolution filter), which can be solved by applying any convenient linear algorithm...
2016: PloS One
Jaber Zafari, Fatemeh Javani Jouni, Ali Ahmadvand, Parviz Abdolmaleki, Malihe Soodi, Rezvan Zendehdel
A model was set up to predict the differentiation patterns based on the data extracted from FTIR spectroscopy. For this reason, bone marrow stem cells (BMSCs) were differentiated to primordial germ cells (PGCs). Changes in cellular macromolecules in the time of 0, 24, 48, 72, and 96h of differentiation, as different steps of the differentiation procedure were investigated by using FTIR spectroscopy. Also, the expression of pluripotency (Oct-4, Nanog and c-Myc) and specific genes (Mvh, Stella and Fragilis) were investigated by real-time PCR...
October 17, 2016: Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy
Irving E Wang, Thomas R Clandinin
The activity and maintenance of neurons requires substantial metabolic energy, resulting in selective pressure to decrease resource consumption by the nervous system. The wiring economy principle proposes that animals have evolved mechanisms that wire circuits efficiently by minimizing neurite length. Computational modeling of neuronal morphology, microcircuit organization, and neural networks reveals that wiring economy is a significant determinant of nervous system layout. The strategies for reducing wiring costs are shared across phyla and point to the possibility of generalizable rules that specify the development of efficient nervous systems...
October 24, 2016: Current Biology: CB
Amanda Elton, Christopher T Smith, Michael H Parrish, Charlotte A Boettiger
Excessively choosing immediate over larger future rewards, or delay discounting (DD), associates with multiple clinical conditions. Individual differences in DD likely depend on variations in the activation of and functional interactions between networks, representing possible endophenotypes for associated disorders, including alcohol use disorders. Numerous fMRI studies have probed the neural bases of DD, but investigations of large-scale networks remain scant. We addressed this gap by testing whether activation within large-scale networks during Now/Later decision-making predicts individual differences in DD...
October 25, 2016: Journal of Cognitive Neuroscience
Benjamin W Mooneyham, Michael D Mrazek, Alissa J Mrazek, Kaita L Mrazek, Dawa T Phillips, Jonathan W Schooler
During tasks that require continuous engagement, the mind alternates between mental states of focused attention and mind-wandering. Existing research has assessed the functional connectivity of intrinsic brain networks underlying the experience and training of these mental states using "static" approaches that assess connectivity across an entire task. To disentangle the functional connectivity between brain regions as the mind fluctuates between discrete brain states, we employed a dynamic functional connectivity approach that characterized brain activity using a sliding window...
October 25, 2016: Journal of Cognitive Neuroscience
Xueling Suo, Du Lei, Fuqin Chen, Min Wu, Lei Li, Ling Sun, Xiaoli Wei, Hongyan Zhu, Lingjiang Li, Graham J Kemp, Qiyong Gong
Purpose To use diffusion-tensor (DT) imaging and graph theory approaches to explore the brain structural connectome in pediatric posttraumatic stress disorder (PTSD). Materials and Methods This study was approved by the relevant research ethics committee, and all participants' parents or guardians provided informed consent. Twenty-four pediatric patients with PTSD and 23 control subjects exposed to trauma but without PTSD were recruited after the 2008 Sichuan earthquake. The structural connectome was constructed by using DT imaging tractography and thresholding the mean fractional anisotropy of 90 brain regions to yield 90 × 90 partial correlation matrixes...
October 25, 2016: Radiology
Tyler C Hein, Christopher S Monk
BACKGROUND: Child maltreatment is common and has long-term consequences for affective function. Investigations of neural consequences of maltreatment have focused on the amygdala. However, developmental neuroscience indicates that other brain regions are also likely to be affected by child maltreatment, particularly in the social information processing network (SIPN). We conducted a quantitative meta-analysis to: confirm that maltreatment is related to greater bilateral amygdala activation in a large sample that was pooled across studies; investigate other SIPN structures that are likely candidates for altered function; and conduct a data-driven examination to identify additional regions that show altered activation in maltreated children, teens, and adults...
October 25, 2016: Journal of Child Psychology and Psychiatry, and Allied Disciplines
Koji Shimozaki
Adult neurogenesis originates from neural stem cells (NSCs) in specific regions of the adult brain. The molecular mechanisms that control the self-renewal and multipotency of NSCs have not been fully elucidated. In recent years, emerging evidence has revealed that ten-eleven translocation (TET) family DNA dioxygenases TET1 and TET2 play important roles in the central nervous system. Here, I present evidence that Tet1 and Tet2 are expressed in cultured NSCs derived from adult mouse brain and play an important role in the proliferative self-renewal of NSCs in an undifferentiated state...
October 24, 2016: Cellular and Molecular Neurobiology
Rahib H Abiyev, Nurullah Akkaya, Ersin Aytac, Irfan Günsel, Ahmet Çağman
The design of brain-computer interface for the wheelchair for physically disabled people is presented. The design of the proposed system is based on receiving, processing, and classification of the electroencephalographic (EEG) signals and then performing the control of the wheelchair. The number of experimental measurements of brain activity has been done using human control commands of the wheelchair. Based on the mental activity of the user and the control commands of the wheelchair, the design of classification system based on fuzzy neural networks (FNN) is considered...
2016: BioMed Research International
Qikang Wei, Tao Chen, Ruifeng Xu, Yulan He, Lin Gui
The recognition of disease and chemical named entities in scientific articles is a very important subtask in information extraction in the biomedical domain. Due to the diversity and complexity of disease names, the recognition of named entities of diseases is rather tougher than those of chemical names. Although there are some remarkable chemical named entity recognition systems available online such as ChemSpot and tmChem, the publicly available recognition systems of disease named entities are rare. This article presents a system for disease named entity recognition (DNER) and normalization...
2016: Database: the Journal of Biological Databases and Curation
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