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https://www.readbyqxmd.com/read/28549351/contextual-cueing-in-3d-visual-search-depends-on-representations-in-planar-not-depth-defined-space
#1
Xuelian Zang, Zhuanghua Shi, Hermann J Müller, Markus Conci
Learning of spatial inter-item associations can speed up visual search in everyday life, an effect referred to as contextual cueing (Chun & Jiang, 1998). Whereas previous studies investigated contextual cueing primarily using 2D layouts, the current study examined how 3D depth influences contextual learning in visual search. In two experiments, the search items were presented evenly distributed across front and back planes in an initial training session. In the subsequent test session, the search items were either swapped between the front and back planes (Experiment 1) or between the left and right halves (Experiment 2) of the displays...
May 1, 2017: Journal of Vision
https://www.readbyqxmd.com/read/28542290/new-paradigm-for-auditory-paired-pulse-suppression
#2
Nobuyuki Takeuchi, Shunsuke Sugiyama, Koji Inui, Kousuke Kanemoto, Makoto Nishihara
Sensory gating is a mechanism of sensory processing used to prevent an overflow of irrelevant information, with some indexes, such as prepulse inhibition (PPI) and P50 suppression, often utilized for its evaluation. In addition, those are clinically important for diseases such as schizophrenia. In the present study, we investigated long-latency paired-pulse suppression of change-related cortical responses using magnetoencephalography. The test change-related response was evoked by an abrupt increase in sound pressure by 15 dB in a continuous sound composed of a train of 25-ms pure tones at 65 dB...
2017: PloS One
https://www.readbyqxmd.com/read/28541900/simultaneous-semi-coupled-dictionary-learning-for-matching-in-canonical-space
#3
Nilotpal Das, Devraj Mandal, Soma Biswas
Cross-modal recognition and matching with privileged information are important challenging problems in the field of computer vision. The cross-modal scenario deals with matching across different modalities and needs to take care of the large variations present across and within each modality. The privileged information scenario deals with the situation that all the information available during training may not be available during the testing stage and hence algorithms need to leverage the extra information from the training stage itself...
May 24, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28541894/the-extreme-value-machine
#4
Ethan M Rudd, Lalit P Jain, Walter J Scheirer, Terrance E Boult
It is often desirable to be able to recognize when inputs to a recognition function learned in a supervised manner correspond to classes unseen at training time. With this ability, new class labels could be assigned to these inputs by a human operator, allowing them to be incorporated into the recognition function - ideally under an efficient incremental update mechanism. While good algorithms that assume inputs from a fixed set of classes exist, e.g., artificial neural networks and kernel machines, it is not immediately obvious how to extend them to perform incremental learning in the presence of unknown query classes...
May 23, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28540820/theoretical-model-for-laser-ablation-outcome-predictions-in-brain-calibration-and-validation-on-clinical-mr-thermometry-images
#5
Samuel John Fahrenholtz, Reza Madankan, Shabbar Danish, John D Hazle, R Jason Stafford, David Fuentes
PURPOSE: Neurosurgical laser ablation is experiencing a renaissance. Computational tools for ablation planning aim to further improve the intervention. Here, global optimisation and inverse problems are demonstrated to train a model that predicts maximum laser ablation extent. METHODS: A closed-form steady state model is trained on and then subsequently compared to N = 20 retrospective clinical MR thermometry datasets. Dice similarity coefficient (DSC) is calculated to provide a measure of region overlap between the 57 °C isotherms of the thermometry data and the model-predicted ablation regions; 57 °C is a tissue death surrogate at thermal steady state...
May 19, 2017: International Journal of Hyperthermia
https://www.readbyqxmd.com/read/28539141/individual-traits-personal-values-and-conflict-resolution-in-an-isolated-confined-extreme-environment
#6
Jesper G Corneliussen, Gloria R Leon, Anders Kjærgaard, Birgit A Fink, Noah C Venables
BACKGROUND: The study of personality traits, personal values, and the emergence of conflicts within groups performing in an isolated, confined, and extreme environment (ICE) may provide insights helpful for the composition and support of space crews for long duration missions. METHODS: Studied pre/post and over the 2-yr period of the investigation were 10 Danish military personnel deployed to stations in Greenland on a 26-mo staggered rotation. Subjects completed the NEO PI-R, Triarchic Psychopathy Measure, and Portrait Values Questionnaire, and participated in structured interviews...
June 1, 2017: Aerospace Medicine and Human Performance
https://www.readbyqxmd.com/read/28534789/boundary-eliminated-pseudoinverse-linear-discriminant-for-imbalanced-problems
#7
Yujin Zhu, Zhe Wang, Hongyuan Zha, Daqi Gao
Existing learning models for classification of imbalanced data sets can be grouped as either boundary-based or nonboundary-based depending on whether a decision hyperplane is used in the learning process. The focus of this paper is a new approach that leverages the advantage of both approaches. Specifically, our new model partitions the input space into three parts by creating two additional boundaries in the training process, and then makes the final decision based on a heuristic measurement between the test sample and a subset of selected training samples...
May 16, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28534722/a-survey-of-established-veterinary-clinical-skills-laboratories-from-europe-and-north-america-present-practices-and-recent-developments
#8
Marc Dilly, Emma K Read, Sarah Baillie
Developing competence in clinical skills is important if graduates are to provide entry-level care but it is dependent on having had sufficient hands-on practice. Clinical skills laboratories provide opportunities for students to learn on simulators and models in a safe environment and to supplement training with animals. Interest in facilities for developing veterinary clinical skills has increased in recent years as many veterinary colleges face challenges in training their students with traditional methods alone...
May 23, 2017: Journal of Veterinary Medical Education
https://www.readbyqxmd.com/read/28534096/genomic-prediction-ability-for-yield-related-traits-in-german-winter-barley-elite-material
#9
Patrick Thorwarth, Jutta Ahlemeyer, Anne-Marie Bochard, Kerstin Krumnacker, Hubert Blümel, Eberhard Laubach, Nadine Knöchel, László Cselényi, Frank Ordon, Karl J Schmid
Genomic prediction was evaluated in German winter barley breeding lines. In this material, prediction ability is strongly influenced by population structure and main determinant of prediction ability is the close genetic relatedness of the breeding material. To ensure breeding progress under changing environmental conditions the implementation and evaluation of new breeding methods is of crucial importance. Modern breeding approaches like genomic selection may significantly accelerate breeding progress. We assessed the potential of genomic prediction in a training population of 750 genotypes, consisting of multiple six-rowed winter barley (Hordeum vulgare L...
May 22, 2017: TAG. Theoretical and Applied Genetics. Theoretische und Angewandte Genetik
https://www.readbyqxmd.com/read/28531125/characterizing-dynamic-walking-patterns-and-detecting-falls-with-wearable-sensors-using-gaussian-process-methods
#10
Taehwan Kim, Jeongho Park, Seongman Heo, Keehoon Sung, Jooyoung Park
By incorporating a growing number of sensors and adopting machine learning technologies, wearable devices have recently become a prominent health care application domain. Among the related research topics in this field, one of the most important issues is detecting falls while walking. Since such falls may lead to serious injuries, automatically and promptly detecting them during daily use of smartphones and/or smart watches is a particular need. In this paper, we investigate the use of Gaussian process (GP) methods for characterizing dynamic walking patterns and detecting falls while walking with built-in wearable sensors in smartphones and/or smartwatches...
May 20, 2017: Sensors
https://www.readbyqxmd.com/read/28524688/constraints-on-the-dynamical-environments-of-supermassive-black-hole-binaries-using-pulsar-timing-arrays
#11
Stephen R Taylor, Joseph Simon, Laura Sampson
We introduce a technique for gravitational-wave analysis, where Gaussian process regression is used to emulate the strain spectrum of a stochastic background by training on population-synthesis simulations. This leads to direct Bayesian inference on astrophysical parameters. For pulsar timing arrays specifically, we interpolate over the parameter space of supermassive black-hole binary environments, including three-body stellar scattering, and evolving orbital eccentricity. We illustrate our approach on mock data, and assess the prospects for inference with data similar to the NANOGrav 9-yr data release...
May 5, 2017: Physical Review Letters
https://www.readbyqxmd.com/read/28523983/ear-advantage-for-musical-location-and-relative-pitch-effects-of-musical-training-and-attention
#12
Joanna L Hutchison, Timothy L Hubbard, Nicholas A Hubbard, Bart Rypma
Trained musicians have been found to exhibit a right-ear advantage for high tones and a left-ear advantage for low tones. We investigated whether this right/high, left/low pattern of musical processing advantage exists in listeners who had varying levels of musical experience, and whether such a pattern might be modulated by attentional strategy. A dichotic listening paradigm was used in which different melodic sequences were presented to each ear, and listeners attended to (a) the left ear or the right ear or (b) the higher pitched tones or the lower pitched tones...
June 2017: Perception
https://www.readbyqxmd.com/read/28516047/prospective-cardiac-motion-self-gating
#13
Fei Han, Stanislas Rapacchi, Peng Hu
BACKGROUND: To develop a prospective cardiac motion self-gating method that provides robust and accurate cardiac triggers in real time. METHODS: The proposed self-gating method consists of an "imaging mode" that acquires the k-space segments and a "self-gating mode" that captures the cardiac motion by repeatedly sampling the k-space centerline. A training based principal component analysis algorithm is utilized to process the self-gating data where the projection onto the first principal component was used as the self-gating signal...
April 2017: Quantitative Imaging in Medicine and Surgery
https://www.readbyqxmd.com/read/28514921/a-study-of-relationships-among-technical-tactical-physical-parameters-and-final-outcomes-in-elite-soccer-matches-as-analyzed-by-a-semiautomatic-video-tracking-system
#14
Cristoforo Filetti, Bruno Ruscello, Stefano D'Ottavio, Vito Fanelli
The performance of a soccer team depends on many factors such as decision-making, cognitive and physical skills, and dynamic ever-changing space-time interactions between teammate and opponents in relation to the ball. Seventy ( n = 70) matches of the Italian SERIE A season 2013-2014 were investigated to analyze the mean performance of 360 players in terms of physical (physical efficiency index; PEI) and technical-tactical (technical efficiency index; TEI) standpoints. Using a semiautomatic video analysis system that has incorporated new parameters able to measure technical-tactical and physical efficiency (Patent IB2010/002593, 2011-ISA), the correlation between these new variables and how much it relates to the likelihood of winning were verified...
June 2017: Perceptual and Motor Skills
https://www.readbyqxmd.com/read/28508076/machine-learning-of-accurate-energy-conserving-molecular-force-fields
#15
Stefan Chmiela, Alexandre Tkatchenko, Huziel E Sauceda, Igor Poltavsky, Kristof T Schütt, Klaus-Robert Müller
Using conservation of energy-a fundamental property of closed classical and quantum mechanical systems-we develop an efficient gradient-domain machine learning (GDML) approach to construct accurate molecular force fields using a restricted number of samples from ab initio molecular dynamics (AIMD) trajectories. The GDML implementation is able to reproduce global potential energy surfaces of intermediate-sized molecules with an accuracy of 0.3 kcal mol(-1) for energies and 1 kcal mol(-1) Å̊(-1) for atomic forces using only 1000 conformational geometries for training...
May 2017: Science Advances
https://www.readbyqxmd.com/read/28507695/ani-1-an-extensible-neural-network-potential-with-dft-accuracy-at-force-field-computational-cost
#16
J S Smith, O Isayev, A E Roitberg
Deep learning is revolutionizing many areas of science and technology, especially image, text, and speech recognition. In this paper, we demonstrate how a deep neural network (NN) trained on quantum mechanical (QM) DFT calculations can learn an accurate and transferable potential for organic molecules. We introduce ANAKIN-ME (Accurate NeurAl networK engINe for Molecular Energies) or ANI for short. ANI is a new method designed with the intent of developing transferable neural network potentials that utilize a highly-modified version of the Behler and Parrinello symmetry functions to build single-atom atomic environment vectors (AEV) as a molecular representation...
April 1, 2017: Chemical Science
https://www.readbyqxmd.com/read/28507513/appetitive-olfactory-learning-and-long-term-associative-memory-in-caenorhabditis-elegans
#17
Saori Nishijima, Ichiro N Maruyama
Because of the relative simplicity of its nervous system, Caenorhabditis elegans is a useful model organism to study learning and memory at cellular and molecular levels. For appetitive conditioning in C. elegans, food has exclusively been used as an unconditioned stimulus (US). It may be difficult to analyze neuronal circuits for associative memory since food is a multimodal combination of olfactory, gustatory, and mechanical stimuli. Here, we report classical appetitive conditioning and associative memory in C...
2017: Frontiers in Behavioral Neuroscience
https://www.readbyqxmd.com/read/28506641/guiding-multimodal-registration-with-learned-optimization-updates
#18
Benjamin Gutierrez-Becker, Diana Mateus, Loic Peter, Nassir Navab
In this paper, we address the multimodal registration problem from a novel perspective, aiming to predict the transformation aligning images directly from their visual appearance. We formulate the prediction as a supervised regression task, with joint image descriptors as input and the output are the parameters of the transformation that guide the moving image towards alignment. We model the joint local appearance with context aware descriptors that capture both local and global cues simultaneously in the two modalities, while the regression function is based on the gradient boosted trees method capable of handling the very large contextual feature space...
May 6, 2017: Medical Image Analysis
https://www.readbyqxmd.com/read/28505523/trainers-perception-of-the-learning-environment-and-student-competency-a-qualitative-investigation-of-midwifery-and-anesthesia-training-programs-in-ethiopia
#19
Sharon Kibwana, Rachel Haws, Adrienne Kols, Firew Ayalew, Young-Mi Kim, Jos van Roosmalen, Jelle Stekelenburg
BACKGROUND: Ethiopia has successfully expanded training for midwives and anesthetists in public institutions. This study explored the perceptions of trainers (instructors, clinical lab assistants and preceptors) towards the adequacy of students' learning experience and implications for achieving mastery of core competencies. METHODS: In-depth interviews with 96 trainers at 9 public universities and 17 regional health science colleges across Ethiopia were conducted to elicit their opinions about available resources, program curriculum suitability, and competence of graduating students...
May 1, 2017: Nurse Education Today
https://www.readbyqxmd.com/read/28503630/defect-mediated-phonon-dynamics-in-tas2-and-wse2
#20
Daniel R Cremons, Dayne A Plemmons, David J Flannigan
We report correlative crystallographic and morphological studies of defect-dependent phonon dynamics in single flakes of 1T-TaS2 and 2H-WSe2 using selected-area diffraction and bright-field imaging in an ultrafast electron microscope. In both materials, we observe in-plane speed-of-sound acoustic-phonon wave trains, the dynamics of which (i.e., emergence, propagation, and interference) are strongly dependent upon discrete interfacial features (e.g., vacuum/crystal and crystal/crystal interfaces). In TaS2, we observe cross-propagating in-plane acoustic-phonon wave trains of differing frequencies that undergo coherent interference approximately 200 ps after initial emergence from distinct interfacial regions...
July 2017: Structural Dynamics (Melville, N.Y.)
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