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https://www.readbyqxmd.com/read/28548044/falcon-a-highly-flexible-open-source-software-for-closed-loop-neuroscience
#1
Davide Ciliberti, Fabian Kloosterman
OBJECTIVE: Closed-loop experiments provide unique insights into brain dynamics and function. Here, we demonstrate an open-source software platform that enables high-performance real-time processing of streaming experimental data, suitable for a wide range of closed-loop experiments. APPROACH: We wrote a C++ multi-threaded software (Falcon) in which the user can load and execute an arbitrary processing graph. Each node in the graph is internally mapped to a single thread and nodes communicate with each other through thread-safe buffers...
May 26, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28546808/improving-classification-performance-through-an-advanced-ensemble-based-heterogeneous-extreme-learning-machines
#2
Adnan O M Abuassba, Dezheng Zhang, Xiong Luo, Ahmad Shaheryar, Hazrat Ali
Extreme Learning Machine (ELM) is a fast-learning algorithm for a single-hidden layer feedforward neural network (SLFN). It often has good generalization performance. However, there are chances that it might overfit the training data due to having more hidden nodes than needed. To address the generalization performance, we use a heterogeneous ensemble approach. We propose an Advanced ELM Ensemble (AELME) for classification, which includes Regularized-ELM, L2-norm-optimized ELM (ELML2), and Kernel-ELM. The ensemble is constructed by training a randomly chosen ELM classifier on a subset of training data selected through random resampling...
2017: Computational Intelligence and Neuroscience
https://www.readbyqxmd.com/read/28545935/social-fear-learning-from-animal-models-to-human-function
#3
REVIEW
Jacek Debiec, Andreas Olsson
Learning about potential threats is critical for survival. Learned fear responses are acquired either through direct experiences or indirectly through social transmission. Social fear learning (SFL), also known as vicarious fear learning, is a paradigm successfully used for studying the transmission of threat information between individuals. Animal and human studies have begun to elucidate the behavioral, neural and molecular mechanisms of SFL. Recent research suggests that social learning mechanisms underlie a wide range of adaptive and maladaptive phenomena, from supporting flexible avoidance in dynamic environments to intergenerational transmission of trauma and anxiety disorders...
May 22, 2017: Trends in Cognitive Sciences
https://www.readbyqxmd.com/read/28545607/dynamically-weighted-evolutionary-ordinal-neural-network-for-solving-an-imbalanced-liver-transplantation-problem
#4
Manuel Dorado-Moreno, María Pérez-Ortiz, Pedro A Gutiérrez, Rubén Ciria, Javier Briceño, César Hervás-Martínez
OBJECTIVE: Create an efficient decision-support model to assist medical experts in the process of organ allocation in liver transplantation. The mathematical model proposed here uses different sources of information to predict the probability of organ survival at different thresholds for each donor-recipient pair considered. Currently, this decision is mainly based on the Model for End-stage Liver Disease, which depends only on the severity of the recipient and obviates donor-recipient compatibility...
March 2017: Artificial Intelligence in Medicine
https://www.readbyqxmd.com/read/28545123/predictability-of-arousal-in-mouse-slow-wave-sleep-by-accelerometer-data
#5
Gustavo Zampier Dos Santos Lima, Sergio Roberto Lopes, Thiago Lima Prado, Bruno Lobao-Soares, George C do Nascimento, John Fontenele-Araujo, Gilberto Corso
Arousals can be roughly characterized by punctual intrusions of wakefulness into sleep. In a standard perspective, using human electroencephalography (EEG) data, arousals are associated to slow-wave rhythms and K-complex brain activity. The physiological mechanisms that give rise to arousals during sleep are not yet fully understood. Moreover, subtle body movement patterns, which may characterize arousals both in human and in animals, are usually not detectable by eye perception and are not in general present in sleep studies...
2017: PloS One
https://www.readbyqxmd.com/read/28544930/neural-oscillations-demonstrate-that-general-anesthesia-and-sedative-states-are-neurophysiologically-distinct-from-sleep
#6
REVIEW
Oluwaseun Akeju, Emery N Brown
General anesthesia is a man-made neurophysiological state comprised of unconsciousness, amnesia, analgesia, and immobility along with maintenance of physiological stability. Growing evidence suggests that anesthetic-induced neural oscillations are a primary mechanism of anesthetic action. Each anesthetic drug class produces distinct oscillatory dynamics that can be related to the circuit mechanisms of drug action. Sleep is a naturally occurring state of decreased arousal that is essential for normal health...
May 22, 2017: Current Opinion in Neurobiology
https://www.readbyqxmd.com/read/28544891/emergence-of-ultrafast-sparsely-synchronized-rhythms-and-their-responses-to-external-stimuli-in-an-inhomogeneous-small-world-complex-neuronal-network
#7
Sang-Yoon Kim, Woochang Lim
We consider an inhomogeneous small-world network (SWN) composed of inhibitory short-range (SR) and long-range (LR) interneurons, and investigate the effect of network architecture on emergence of synchronized brain rhythms by varying the fraction of LR interneurons plong. The betweenness centralities of the LR and SR interneurons (characterizing the potentiality in controlling communication between other interneurons) are distinctly different. Hence, in view of the betweenness, SWNs we consider are inhomogeneous, unlike the "canonical" Watts-Strogatz SWN with nearly the same betweenness centralities...
April 28, 2017: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/28544890/hybrid-neuro-heuristic-methodology-for-simulation-and-control-of-dynamic-systems-over-time-interval
#8
Marcin Woźniak, Dawid Połap
Simulation and positioning are very important aspects of computer aided engineering. To process these two, we can apply traditional methods or intelligent techniques. The difference between them is in the way they process information. In the first case, to simulate an object in a particular state of action, we need to perform an entire process to read values of parameters. It is not very convenient for objects for which simulation takes a long time, i.e. when mathematical calculations are complicated. In the second case, an intelligent solution can efficiently help on devoted way of simulation, which enables us to simulate the object only in a situation that is necessary for a development process...
May 5, 2017: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/28542603/a-conformational-switch-high-throughput-screening-assay-and-allosteric-inhibition-of-the-flavivirus-ns2b-ns3-protease
#9
Matthew Brecher, Zhong Li, Binbin Liu, Jing Zhang, Cheri A Koetzner, Adham Alifarag, Susan A Jones, Qishan Lin, Laura D Kramer, Hongmin Li
The flavivirus genome encodes a single polyprotein precursor requiring multiple cleavages by host and viral proteases in order to produce the individual proteins that constitute an infectious virion. Previous studies have revealed that the NS2B cofactor of the viral NS2B-NS3 heterocomplex protease displays a conformational dynamic between active and inactive states. Here, we developed a conformational switch assay based on split luciferase complementation (SLC) to monitor the conformational change of NS2B and to characterize candidate allosteric inhibitors...
May 25, 2017: PLoS Pathogens
https://www.readbyqxmd.com/read/28542195/differential-excitatory-control-of-2-parallel-basket-cell-networks-in-amygdala-microcircuits
#10
Tibor Andrási, Judit M Veres, Laura Rovira-Esteban, Richárd Kozma, Attila Vikór, Erzsébet Gregori, Norbert Hájos
Information processing in neural networks depends on the connectivity among excitatory and inhibitory neurons. The presence of parallel, distinctly controlled local circuits within a cortical network may ensure an effective and dynamic regulation of microcircuit function. By applying a combination of optogenetics, electrophysiological recordings, and high resolution microscopic techniques, we uncovered the organizing principles of synaptic communication between principal neurons and basket cells in the basal nucleus of the amygdala...
May 2017: PLoS Biology
https://www.readbyqxmd.com/read/28541919/can-we-speculate-running-application-with-server-power-consumption-trace
#11
Yuanlong Li, Han Hu, Yonggang Wen, Jun Zhang
In this paper, we propose to detect the running applications in a server by classifying the observed power consumption series for the purpose of data center energy consumption monitoring and analysis. Time series classification problem has been extensively studied with various distance measurements developed; also recently the deep learning-based sequence models have been proved to be promising. In this paper, we propose a novel distance measurement and build a time series classification algorithm hybridizing nearest neighbor and long short term memory (LSTM) neural network...
May 24, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28541657/chemical-modulation-of-protein-o-glcnacylation-via-ogt-inhibition-promotes-human-neural-cell-differentiation
#12
Lissette M Andres, Ian W Blong, Angela C Evans, Neil G Rumachik, Teppei Yamaguchi, Nam D Pham, Pamela Thompson, Jennifer J Kohler, Carolyn R Bertozzi
The enzymes that determine protein O-GlcNAcylation, O-GlcNAc transferase (OGT) and O-GlcNAcase (OGA), act on key transcriptional and epigenetic regulators and both are abundantly expressed in the brain. However, little is known about how alterations in O-GlcNAc cycling affect human embryonic stem cell (hESC) neural differentiation. Here, we studied the effects of perturbing O-GlcNAcylation during neural induction of hESCs using the metabolic inhibitor of OGT, peracetylated 5-thio-N-acetylglucosamine (Ac4-5SGlcNAc)...
May 25, 2017: ACS Chemical Biology
https://www.readbyqxmd.com/read/28539263/nutrients-neurogenesis-and-brain-ageing-from-disease-mechanisms-to-therapeutic-opportunities
#13
REVIEW
Marco Fidaleo, Virve Cavallucci, Giovambattista Pani
Appreciation of the physiological relevance of mammalian adult neurogenesis has in recent years rapidly expanded from a phenomenon of homeostatic cell replacement and brain repair to the current view of a complex process involved in high order cognitive functions. In parallel, an array of endogenous or exogenous triggers of neurogenesis have also been identified, among which metabolic and nutritional cues have drawn significant attention. Converging evidence from animal and in vitro studies point to nutrient sensing and energy metabolism as major physiological determinants of neural stem cell fate, and modulators of the whole neurogenic process...
May 21, 2017: Biochemical Pharmacology
https://www.readbyqxmd.com/read/28537554/pioneer-neurog1-expressing-cells-ingress-into-the-otic-epithelium-and-instruct-neuronal-specification
#14
Esteban Hoijman, Laura Fargas, Patrick Blader, Berta Alsina
Neural patterning involves regionalised cell specification. Recent studies indicate that cell dynamics play instrumental roles in neural pattern refinement and progression, but the impact of cell behaviour and morphogenesis on neural specification is not understood. Here we combine 4D analysis of cell behaviours with dynamic quantification of proneural expression to uncover the construction of the zebrafish otic neurogenic domain. We identify pioneer cells expressing neurog1 outside the otic primordium that migrate and ingress into the epithelialising placode to become the first otic neuronal progenitors...
May 24, 2017: ELife
https://www.readbyqxmd.com/read/28537480/alpha-band-oscillations-enable-spatially-and-temporally-resolved-tracking-of-covert-spatial-attention
#15
Joshua J Foster, David W Sutterer, John T Serences, Edward K Vogel, Edward Awh
Covert spatial attention is essential for humans' ability to direct limited processing resources to the relevant aspects of visual scenes. A growing body of evidence suggests that rhythmic neural activity in the alpha frequency band (8-12 Hz) tracks the spatial locus of covert attention, which suggests that alpha activity is integral to spatial attention. However, extant work has not provided a compelling test of another key prediction: that alpha activity tracks the temporal dynamics of covert spatial orienting...
May 1, 2017: Psychological Science
https://www.readbyqxmd.com/read/28536207/impaired-cerebral-autoregulation-measurement-and-application-to-stroke
#16
REVIEW
Li Xiong, Xiuyun Liu, Ty Shang, Peter Smielewski, Joseph Donnelly, Zhen-Ni Guo, Yi Yang, Thomas Leung, Marek Czosnyka, Rong Zhang, Jia Liu, Ka Sing Wong
Cerebral autoregulation (CA) is a protective mechanism that maintains cerebral blood flow at a relatively constant level despite fluctuations of cerebral perfusion pressure or arterial blood pressure. It is a universal physiological mechanism that may involve myogenic, neural control as well as metabolic regulations of cerebral vasculature in response to changes in pressure or cerebral blood flow. Traditionally, CA has been represented by a sigmoid curve with a wide plateau between about 50 mm Hg and 170 mm Hg of steady-state changes in mean arterial pressure, defined as static CA...
June 2017: Journal of Neurology, Neurosurgery, and Psychiatry
https://www.readbyqxmd.com/read/28536200/modulation-of-sensory-information-processing-by-a-neuroglobin-in-caenorhabditis-elegans
#17
Shigekazu Oda, Yu Toyoshima, Mario de Bono
Sensory receptor neurons match their dynamic range to ecologically relevant stimulus intensities. How this tuning is achieved is poorly understood in most receptors. The roundworm Caenorhabditis elegans avoids 21% O2 and hypoxia and prefers intermediate O2 concentrations. We show how this O2 preference is sculpted by the antagonistic action of a neuroglobin and an O2-binding soluble guanylate cyclase. These putative molecular O2 sensors confer a sigmoidal O2 response curve in the URX neurons that has highest slope between 15 and 19% O2 and approaches saturation when O2 reaches 21%...
May 23, 2017: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/28536180/yy1-and-ctcf-orchestrate-a-3d-chromatin-looping-switch-during-early-neural-lineage-commitment
#18
Jonathan A Beagan, Michael T Duong, Katelyn R Titus, Linda Zhou, Zhendong Cao, Jingjing Ma, Caroline V Lachanski, Daniel R Gillis, Jennifer E Phillips-Cremins
CTCF is an architectural protein with a critical role in connecting higher-order chromatin folding in pluripotent stem cells. Recent reports have suggested that CTCF binding is more dynamic during development than previously appreciated. Here we set out to understand the extent to which shifts in genome-wide CTCF occupancy contribute to the 3-D reconfiguration of fine-scale chromatin folding during early neural lineage commitment. Unexpectedly, we observe a sharp decrease in CTCF occupancy during the transition from naive/primed pluripotency to multipotent primary neural progenitor cells (NPCs)...
May 23, 2017: Genome Research
https://www.readbyqxmd.com/read/28534502/engaging-and-disengaging-recurrent-inhibition-coincides-with-sensing-and-unsensing-of-a-sensory-stimulus
#19
Debajit Saha, Wensheng Sun, Chao Li, Srinath Nizampatnam, William Padovano, Zhengdao Chen, Alex Chen, Ege Altan, Ray Lo, Dennis L Barbour, Baranidharan Raman
Even simple sensory stimuli evoke neural responses that are dynamic and complex. Are the temporally patterned neural activities important for controlling the behavioral output? Here, we investigated this issue. Our results reveal that in the insect antennal lobe, due to circuit interactions, distinct neural ensembles are activated during and immediately following the termination of every odorant. Such non-overlapping response patterns are not observed even when the stimulus intensity or identities were changed...
May 23, 2017: Nature Communications
https://www.readbyqxmd.com/read/28534041/correction-lin-et-al-scale-free-neural-and-physiological-dynamics-in-naturalistic-stimuli-processing-eneuro-september-october-2016-3-5-e0191-16-2016-1-13-https-doi-org-10-1523-eneuro-0191-16-2016
#20
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