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https://www.readbyqxmd.com/read/29331498/identification-of-neural-transcription-factors-required-for-the-differentiation-of-three-neuronal-subtypes-in-the-sea-urchin-embryo
#1
Leslie A Slota, David R McClay
Correct patterning of the nervous system is essential for an organism's survival and complex behavior. Embryologists have used the sea urchin as a model for decades, but our understanding of sea urchin nervous system patterning is incomplete. Previous histochemical studies identified multiple neurotransmitters in the pluteus larvae of several sea urchin species. However, little is known about how, where and when neural subtypes are differentially specified during development. Here, we examine the molecular mechanisms of neuronal subtype specification in 3 distinct neural subtypes in the Lytechinus variegatus larva...
January 10, 2018: Developmental Biology
https://www.readbyqxmd.com/read/29330489/decoding-hind-limb-kinematics-from-neuronal-activity-of-the-dorsal-horn-neurons-using-multiple-level-learning-algorithm
#2
Hamed Yeganegi, Yaser Fathi, Abbas Erfanian
Decoding continuous hind limb joint angles from sensory recordings of neural system provides a feedback for closed-loop control of hind limb movement using functional electrical stimulation. So far, many attempts have been done to extract sensory information from dorsal root ganglia and sensory nerves. In this work, we examine decoding joint angles trajectories from the single-electrode extracellular recording of dorsal horn gray matter of the spinal cord during passive limb movement in anesthetized cats. In this study, a processing framework based on ensemble learning approach is propose to combine firing rate (FR) and interspike interval (ISI) information of the neuronal activity...
January 12, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29329398/lenup-learning-nucleosome-positioning-from-dna-sequences-with-improved-convolutional-neural-networks
#3
Juhua Zhang, Wenbo Peng, Lei Wang
Motivation: Nucleosome positioning plays significant roles in proper genome packing and its accessibility to execute transcription regulation. Despite a multitude of nucleosome positioning resources available on line including experimental datasets of genome-wide nucleosome occupancy profiles and computational tools to the analysis on these data, the complex language of eukaryotic Nucleosome positioning remains incompletely understood. Results: Here, we address this challenge using an approach based on a state-of-the-art machine learning method...
January 10, 2018: Bioinformatics
https://www.readbyqxmd.com/read/29329355/when-the-brain-changes-its-mind-oscillatory-dynamics-of-conflict-processing-and-response-switching-in-a-flanker-task-during-alcohol-challenge
#4
Lauren E Beaton, Sheeva Azma, Ksenija Marinkovic
Despite the subjective experience of being in full and deliberate control of our actions, our daily routines rely on a continuous and interactive engagement of sensory evaluation and response preparation streams. They unfold automatically and unconsciously and are seamlessly integrated with cognitive control which is mobilized by stimuli that evoke ambiguity or response conflict. Methods with high spatio-temporal sensitivity are needed to provide insight into the interplay between automatic and controlled processing...
2018: PloS One
https://www.readbyqxmd.com/read/29329316/electroencephalography-power-and-coherence-changes-with-age-and-motor-skill-development-across-the-first-half-year-of-life
#5
Ran Xiao, Joanne Shida-Tokeshi, Douglas L Vanderbilt, Beth A Smith
Existing research in infants has correlated electroencephalography (EEG) measures of power and coherence to cognitive development and to locomotor experience, but only in infants older than 5 months of age. Our goal was to explore the relationship between EEG measures of power and coherence and motor skill development in younger infants who are developing reaching skill. Twenty-one infants with typical development between 38 and 203 days of age participated. Longitudinal EEG recording sessions were recorded in monthly increments, with 3-5 sessions acquired for 19 participants and 1 session for 2 participants, resulting in 71 sessions in total...
2018: PloS One
https://www.readbyqxmd.com/read/29329268/anomaly-detection-in-nanofibrous-materials-by-cnn-based-self-similarity
#6
Paolo Napoletano, Flavio Piccoli, Raimondo Schettini
Automatic detection and localization of anomalies in nanofibrous materials help to reduce the cost of the production process and the time of the post-production visual inspection process. Amongst all the monitoring methods, those exploiting Scanning Electron Microscope (SEM) imaging are the most effective. In this paper, we propose a region-based method for the detection and localization of anomalies in SEM images, based on Convolutional Neural Networks (CNNs) and self-similarity. The method evaluates the degree of abnormality of each subregion of an image under consideration by computing a CNN-based visual similarity with respect to a dictionary of anomaly-free subregions belonging to a training set...
January 12, 2018: Sensors
https://www.readbyqxmd.com/read/29329240/effective-data-driven-calibration-for-a-galvanometric-laser-scanning-system-using-binocular-stereo-vision
#7
Junchao Tu, Liyan Zhang
A new solution to the problem of galvanometric laser scanning (GLS) system calibration is presented. Under the machine learning framework, we build a single-hidden layer feedforward neural network (SLFN)to represent the GLS system, which takes the digital control signal at the drives of the GLS system as input and the space vector of the corresponding outgoing laser beam as output. The training data set is obtained with the aid of a moving mechanism and a binocular stereo system. The parameters of the SLFN are efficiently solved in a closed form by using extreme learning machine (ELM)...
January 12, 2018: Sensors
https://www.readbyqxmd.com/read/29329226/plils-a-practical-indoor-localization-system-through-less-expensive-wireless-chips-via-subregion-clustering
#8
Xiaolong Li, Yifu Yang, Jun Cai, Yun Deng, Junfeng Yang, Xinmin Zhou, Lina Tan
Reducing costs is a pragmatic method for promoting the widespread usage of indoor localization technology. Conventional indoor localization systems (ILSs) exploit relatively expensive wireless chips to measure received signal strength for positioning. Our work is based on a cheap and widely-used commercial off-the-shelf (COTS) wireless chip, i.e., the Nordic Semiconductor nRF24LE1, which has only several output power levels, and proposes a new power level based-ILS, called Plils. The localization procedure incorporates two phases: an offline training phase and an online localization phase...
January 12, 2018: Sensors
https://www.readbyqxmd.com/read/29329205/improving-odometric-accuracy-for-an-autonomous-electric-cart
#9
Jonay Toledo, Jose D Piñeiro, Rafael Arnay, Daniel Acosta, Leopoldo Acosta
In this paper, a study of the odometric system for the autonomous cart Verdino, which is an electric vehicle based on a golf cart, is presented. A mathematical model of the odometric system is derived from cart movement equations, and is used to compute the vehicle position and orientation. The inputs of the system are the odometry encoders, and the model uses the wheels diameter and distance between wheels as parameters. With this model, a least square minimization is made in order to get the nominal best parameters...
January 12, 2018: Sensors
https://www.readbyqxmd.com/read/29328983/social-and-cognitive-control-skills-in-long-life-occupation-activities-modulate-the-brain-reserve-in-the-behavioural-variant-of-frontotemporal-dementia
#10
Alessandra Dodich, Giulia Carli, Chiara Cerami, Sandro Iannaccone, Giuseppe Magnani, Daniela Perani
BACKGROUND: Cognitive reserve may delay disease onset and mitigate symptoms presentation in neurodegenerative dementias. Although high occupation levels can be associated with higher cognitive reserve in the behavioural variant of frontotemporal dementia (bvFTD), it was never addressed how specific occupation profiles involving social interaction, executive and attention abilities can modulate neural reserve in bvFTD. MATERIALS AND METHODS: We retrospectively included thirty-seven bvFTD patients with clinical-neuropsychological and FDG-PET brain metabolic data...
December 19, 2017: Cortex; a Journal Devoted to the Study of the Nervous System and Behavior
https://www.readbyqxmd.com/read/29328980/consequence-of-intraventricular-hemorrhage-on-neurovascular-coupling-evoked-by-speech-syllables-in-preterm-neonates
#11
Mahdi Mahmoudzadeh, Ghislaine Dehaene-Lambertz, Guy Kongolo, Marc Fournier, Sabrina Goudjil, Fabrice Wallois
Intraventricular Hemorrhage (IVH) is the leading cause of neurological and cognitive impairment in preterm neonates with an incidence that increases with increasing prematurity. In the present study, we tested how preterm neonates with IVH react to external stimulation (i.e. speech syllables). We compared their neural responses measured by electroencephalography (EEG), and hemodynamic responses measured by functional near-infrared spectroscopy (fNIRS), with those of healthy preterms. A neural response to syllables was observed in these infants, but did not induce a vascular response in contrast with healthy neonates...
January 5, 2018: Developmental Cognitive Neuroscience
https://www.readbyqxmd.com/read/29328958/stdp-based-spiking-deep-convolutional-neural-networks-for-object-recognition
#12
Saeed Reza Kheradpisheh, Mohammad Ganjtabesh, Simon J Thorpe, Timothée Masquelier
Previous studies have shown that spike-timing-dependent plasticity (STDP) can be used in spiking neural networks (SNN) to extract visual features of low or intermediate complexity in an unsupervised manner. These studies, however, used relatively shallow architectures, and only one layer was trainable. Another line of research has demonstrated - using rate-based neural networks trained with back-propagation - that having many layers increases the recognition robustness, an approach known as deep learning. We thus designed a deep SNN, comprising several convolutional (trainable with STDP) and pooling layers...
December 23, 2017: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/29328623/mimicking-biological-synaptic-functionality-with-an-indium-phosphide-synaptic-device-on-silicon-for-scalable-neuromorphic-computing
#13
Debarghya Sarkar, Jun Tao, Wei Wang, Qingfeng Lin, Matthew Yeung, Chenhao Ren, Rehan Kapadia
Neuromorphic or "brain-like" computation is a leading candidate for efficient, fault-tolerant processing of large-scale data, as well as real-time sensing and transduction of complex multivariate systems and networks such as self-driving vehicles or Internet of Things applications. In biology, the synapse serves as an active memory unit in the neural system, and is the component responsible for learning and memory. Electronically emulating this element via a compact, scalable technology which can be integrated in a 3-D architecture is critical for future implementations of neuromorphic processors...
January 12, 2018: ACS Nano
https://www.readbyqxmd.com/read/29328054/effect-of-conductance-linearity-and-multi-level-cell-characteristics-of-tao-sub-x-sub-based-synapse-device-on-pattern-recognition-accuracy-of-neuromorphic-system
#14
Changhyuck Sung, Seokjae Lim, Hyungjun Kim, Taesu Kim, Kibong Moon, Jeonghwan Song, Jae-Joon Kim, Hyunsang Hwang
To improve the classification accuracy of image dataset (CIFAR-10) by using analog input voltage, synapse devices with excellent conductance linearity (CL) and multi-level cell (MLC) characteristics are required. We analyze CL and MLC characteristics of TaO<sub>x</sub>-based filamentary resistive memory (RRAM) to implement the synapse device in neural network hardware. Our findings show that number of oxygen vacancies in the filament constriction region of RRAM directly controls the CL and MLC characteristics...
January 12, 2018: Nanotechnology
https://www.readbyqxmd.com/read/29327202/transient-disruption-of-adenosine-signaling-during-embryogenesis-triggers-a-pro-epileptic-phenotype-in-adult-zebrafish
#15
Fabiano Peres Menezes, Felipe Machado Torresini, Laura Roesler Nery, Rosane Souza da Silva
Adenosinergic signaling has important effects on brain function, anatomy, and physiology in both late and early stages of development. Exposure to caffeine, a non-specific blocker of adenosine receptor, has been indicated as a developmental risk factor. Disruption of adenosinergic signaling during early stages of development can change the normal neural network formation and possibly lead to an increase in susceptibility to seizures. In this work, morpholinos (MO) temporarily blocked the translation of adenosine receptor transcripts, adora1, adora2aa, and adora2ab, during the embryonic phase of zebrafish...
January 11, 2018: Molecular Neurobiology
https://www.readbyqxmd.com/read/29326231/linked-networks-for-learning-and-expressing-location-specific-threat
#16
Benjamin Suarez-Jimenez, James A Bisby, Aidan J Horner, John A King, Daniel S Pine, Neil Burgess
Learning locations of danger within our environment is a vital adaptive ability whose neural bases are only partially understood. We examined fMRI brain activity while participants navigated a virtual environment in which flowers appeared and were "picked." Picking flowers in the danger zone (one-half of the environment) predicted an electric shock to the wrist (or "bee sting"); flowers in the safe zone never predicted shock; and household objects served as controls for neutral spatial memory. Participants demonstrated learning with shock expectancy ratings and skin conductance increases for flowers in the danger zone...
January 11, 2018: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/29325883/a-functional-neuroimaging-study-of-expectancy-effects-on-pain-response-in-patients-with-knee-osteoarthritis
#17
Randy L Gollub, Irving Kirsch, Nasim Maleki, Ajay D Wasan, Robert R Edwards, Yiheng Tu, Ted J Kaptchuk, Jian Kong
Placebo treatments and healing rituals share much in common, such as the effects of expectancy, and have been used since the beginning of human history to treat pain. Previous mechanistic neuroimaging studies investigating the effects of expectancy on placebo analgesia have used young, healthy volunteers. Using functional magnetic resonance imaging (fMRI), we aimed to investigate the neural mechanisms by which expectancy evokes analgesia in older adults living with a chronic pain disorder and determine whether there are interactions with active treatment...
January 8, 2018: Journal of Pain: Official Journal of the American Pain Society
https://www.readbyqxmd.com/read/29325777/data-driven-model-reference-control-of-mimo-vertical-tank-systems-with-model-free-vrft-and-q-learning
#18
Mircea-Bogdan Radac, Radu-Emil Precup, Raul-Cristian Roman
This paper proposes a combined Virtual Reference Feedback Tuning-Q-learning model-free control approach, which tunes nonlinear static state feedback controllers to achieve output model reference tracking in an optimal control framework. The novel iterative Batch Fitted Q-learning strategy uses two neural networks to represent the value function (critic) and the controller (actor), and it is referred to as a mixed Virtual Reference Feedback Tuning-Batch Fitted Q-learning approach. Learning convergence of the Q-learning schemes generally depends, among other settings, on the efficient exploration of the state-action space...
January 8, 2018: ISA Transactions
https://www.readbyqxmd.com/read/29325627/epigenetic-mechanisms-underlying-nervous-system-diseases
#19
Irfan A Qureshi, Mark F Mehler
Epigenetic mechanisms act as control systems for modulating genomic structure and activity in response to evolving profiles of cell-extrinsic, cell-cell, and cell-intrinsic signals. These dynamic processes are responsible for mediating cell- and tissue-specific gene expression and function and gene-gene and gene-environmental interactions. The major epigenetic mechanisms include DNA methylation and hydroxymethylation; histone protein posttranslational modifications, nucleosome remodeling/repositioning, and higher-order chromatin reorganization; noncoding RNA regulation; and RNA editing...
2018: Handbook of Clinical Neurology
https://www.readbyqxmd.com/read/29325013/effects-of-task-demands-on-olfactory-auditory-and-visual-event-related-potentials-suggest-similar-top-down-modulation-across-senses
#20
Linus Andersson, Petra Sandberg, Jonas Olofsson, Steven Nordin
A widely held view is that top-down modulation of sensory information relies on an amodal control network that acts through the thalamus to regulate incoming signals. Olfaction lacks a direct thalamic projection, which suggests that it may differ from other modalities in this regard. We investigated the late positive complex (LPC) amplitudes of event-related potentials (ERP) from 28 participants, elicited by intensity-matched olfactory, auditory and visual stimuli, during a condition of focused attention, a neutral condition, and a condition in which stimuli were to be actively ignored...
January 8, 2018: Chemical Senses
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