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https://www.readbyqxmd.com/read/28213134/speech-in-noise-perception-in-musicians-a-review
#1
REVIEW
Emily B J Coffey, Nicolette Mogilever, Robert J Zatorre
The ability to understand speech in the presence of competing sound sources is an important neuroscience question in terms of how the nervous system solves this computational problem. It is also a critical clinical problem that disproportionally affects the elderly, children with language-related learning disorders, and those with hearing loss. Recent evidence that musicians have an advantage on this multifaceted skill has led to the suggestion that musical training might be used to improve or delay the decline of speech-in-noise (SIN) function...
February 14, 2017: Hearing Research
https://www.readbyqxmd.com/read/28210202/mechanisms-and-effects-of-transcranial-direct-current-stimulation
#2
James Giordano, Marom Bikson, Emily S Kappenman, Vincent P Clark, H Branch Coslett, Michael R Hamblin, Roy Hamilton, Ryan Jankord, Walter J Kozumbo, R Andrew McKinley, Michael A Nitsche, J Patrick Reilly, Jessica Richardson, Rachel Wurzman, Edward Calabrese
The US Air Force Office of Scientific Research convened a meeting of researchers in the fields of neuroscience, psychology, engineering, and medicine to discuss most pressing issues facing ongoing research in the field of transcranial direct current stimulation (tDCS) and related techniques. In this study, we present opinions prepared by participants of the meeting, focusing on the most promising areas of research, immediate and future goals for the field, and the potential for hormesis theory to inform tDCS research...
January 2017: Dose-response: a Publication of International Hormesis Society
https://www.readbyqxmd.com/read/28203635/grounded-understanding-of-abstract-concepts-the-case-of-stem-learning
#3
REVIEW
Justin C Hayes, David J M Kraemer
Characterizing the neural implementation of abstract conceptual representations has long been a contentious topic in cognitive science. At the heart of the debate is whether the "sensorimotor" machinery of the brain plays a central role in representing concepts, or whether the involvement of these perceptual and motor regions is merely peripheral or epiphenomenal. The domain of science, technology, engineering, and mathematics (STEM) learning provides an important proving ground for sensorimotor (or grounded) theories of cognition, as concepts in science and engineering courses are often taught through laboratory-based and other hands-on methodologies...
2017: Cogn Res Princ Implic
https://www.readbyqxmd.com/read/28199022/recent-advances-in-exploring-the-neural-underpinnings-of-auditory-scene-perception
#4
Joel S Snyder, Mounya Elhilali
Studies of auditory scene analysis have traditionally relied on paradigms using artificial sounds-and conventional behavioral techniques-to elucidate how we perceptually segregate auditory objects or streams from each other. In the past few decades, however, there has been growing interest in uncovering the neural underpinnings of auditory segregation using human and animal neuroscience techniques, as well as computational modeling. This largely reflects the growth in the fields of cognitive neuroscience and computational neuroscience and has led to new theories of how the auditory system segregates sounds in complex arrays...
February 15, 2017: Annals of the New York Academy of Sciences
https://www.readbyqxmd.com/read/28197065/discrimination-of-dynamic-tactile-contact-by-temporally-precise-event-sensing-in-spiking-neuromorphic-networks
#5
Wang Wei Lee, Sunil L Kukreja, Nitish V Thakor
This paper presents a neuromorphic tactile encoding methodology that utilizes a temporally precise event-based representation of sensory signals. We introduce a novel concept where touch signals are characterized as patterns of millisecond precise binary events to denote pressure changes. This approach is amenable to a sparse signal representation and enables the extraction of relevant features from thousands of sensing elements with sub-millisecond temporal precision. We also proposed measures adopted from computational neuroscience to study the information content within the spiking representations of artificial tactile signals...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28196280/cuda-based-acceleration-and-bpn-assisted-automation-of-bilateral-filtering-for-brain-mr-image-restoration
#6
Herng-Hua Chang, Yu-Ning Chang
PURPOSE: Bilateral filters have been substantially exploited in numerous magnetic resonance (MR) image restoration applications for decades. Due to the deficiency of theoretical basis on the filter parameter setting, empirical manipulation with fixed values and noise variance related adjustments has generally been employed. The outcome of these strategies is usually sensitive to the variation of the brain structures and not all the three parameter values are optimal. This article is in an attempt to investigate the optimal setting of the bilateral filter, from which an accelerated and automated restoration framework is developed...
February 14, 2017: Medical Physics
https://www.readbyqxmd.com/read/28195556/how-neuroscience-can-inform-the-study-of-individual-differences-in-cognitive-abilities
#7
Dennis J McFarland
Theories of human mental abilities should be consistent with what is known in neuroscience. Currently, tests of human mental abilities are modeled by cognitive constructs such as attention, working memory, and speed of information processing. These constructs are in turn related to a single general ability. However, brains are very complex systems and whether most of the variability between the operations of different brains can be ascribed to a single factor is questionable. Research in neuroscience suggests that psychological processes such as perception, attention, decision, and executive control are emergent properties of interacting distributed networks...
February 14, 2017: Reviews in the Neurosciences
https://www.readbyqxmd.com/read/28192130/ielvis-an-open-source-matlab-toolbox-for-localizing-and-visualizing-human-intracranial-electrode-data
#8
David M Groppe, Stephan Bickel, Andrew R Dykstra, Xiuyuan Wang, Pierre Mégevand, Manuel R Mercier, Fred A Lado, Ashesh D Mehta, Christopher J Honey
BACKGROUND: Intracranial electrical recordings (iEEG) and brain stimulation (iEBS) are invaluable human neuroscience methodologies. However, the value of such data is often unrealized as many laboratories lack tools for localizing electrodes relative to anatomy. To remedy this, we have developed a MATLAB toolbox for intracranial electrode localization and visualization, iELVis. NEW METHOD: iELVis uses existing tools (BioImage Suite, FSL, and FreeSurfer) for preimplant magnetic resonance imaging (MRI) segmentation, neuroimaging coregistration, and manual identification of electrodes in postimplant neuroimaging...
February 9, 2017: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/28188890/the-hierarchical-basis-of-neurovisceral-integration
#9
REVIEW
Ryan Smith, Julian F Thayer, Sahib S Khalsa, Richard D Lane
The neurovisceral integration (NVI) model was originally proposed to account for observed relationships between peripheral physiology, cognitive performance, and emotional/physical health. This model has also garnered a considerable amount of empirical support, largely from studies examining cardiac vagal control. However, recent advances in functional neuroanatomy, and in computational neuroscience, have yet to be incorporated into the NVI model. Here we present an updated/expanded version of the NVI model that incorporates these advances...
February 8, 2017: Neuroscience and Biobehavioral Reviews
https://www.readbyqxmd.com/read/28187408/analysis-of-differential-gene-expression-by-rna-seq-data-in-brain-areas-of-laboratory-animals
#10
Vladimir N Babenko, Anatoly O Bragin, Anastasia M Spitsina, Irina V Chadaeva, Elvira R Galieva, Galina V Orlova, Irina V Medvedeva, Yuriy L Orlov
Computer analysis of gene expression in the nervous system plays a fundamental role in biology, genetics, and neurosciences. We studied molecular and genetic mechanisms of enhanced aggressiveness in comparison with tolerant behaviour using experimental animal models developed at the Institute of Cytology and Genetics SB RAS. Grey rats (Rattus norvegicus) have been subjected to selection during several generations in two directions – friendly, tolerant behaviour towards man (tame grey rats) and increased aggressive behaviour...
December 18, 2016: Journal of Integrative Bioinformatics
https://www.readbyqxmd.com/read/28186182/topological-determinants-of-self-sustained-activity-in-a-simple-model-of-excitable-dynamics-on-graphs
#11
Christoph Fretter, Annick Lesne, Claus C Hilgetag, Marc-Thorsten Hütt
Simple models of excitable dynamics on graphs are an efficient framework for studying the interplay between network topology and dynamics. This topic is of practical relevance to diverse fields, ranging from neuroscience to engineering. Here we analyze how a single excitation propagates through a random network as a function of the excitation threshold, that is, the relative amount of activity in the neighborhood required for the excitation of a node. We observe that two sharp transitions delineate a region of sustained activity...
February 10, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28184316/perceptual-distortions-and-deceptions-what-computers-can-teach-us
#12
Matthew M Nour, Joseph M Nour
The nature of perception has fascinated philosophers for centuries, and has more recently been the focus of research in psychology and neuroscience. Many psychiatric disorders are characterised by perceptual abnormalities, ranging from sensory distortions to illusions and hallucinations. The distinction between normal and abnormal perception is, however, hard to articulate. In this article we argue that the distinction between normal perception and abnormal perception is best seen as a quantitative one, resting on the degree to which the observer's prior expectations influence perceptual inference...
February 2017: BJPsych Bulletin
https://www.readbyqxmd.com/read/28184205/child-computer-interaction-at-the-beginner-stage-of-music-learning-effects-of-reflexive-interaction-on-children-s-musical-improvisation
#13
Anna Rita Addessi, Filomena Anelli, Diber Benghi, Anders Friberg
In this article children's musical improvisation is investigated through the "reflexive interaction" paradigm. We used a particular system, the MIROR-Impro, implemented in the framework of the MIROR project (EC-FP7), which is able to reply to the child playing a keyboard by a "reflexive" output, mirroring (with repetitions and variations) her/his inputs. The study was conducted in a public primary school, with 47 children, aged 6-7. The experimental design used the convergence procedure, based on three sample groups allowing us to verify if the reflexive interaction using the MIROR-Impro is necessary and/or sufficient to improve the children's abilities to improvise...
2017: Frontiers in Psychology
https://www.readbyqxmd.com/read/28181877/an-in-silico-biomarker-based-method-for-the-evaluation-of-virtual-neuropsychiatric-drug-effects
#14
Peter J Siekmeier
The recent explosion in neuroscience research has markedly increased our understanding of the neurobiological correlates of many psychiatric illnesses, but this has unfortunately not translated into more effective pharmacologic treatments for these conditions. At the same time, researchers have increasingly sought out biological markers, or biomarkers, as a way to categorize psychiatric illness, as these are felt to be closer to underlying genetic and neurobiological vulnerabilities. While biomarker-based drug discovery approaches have tended to employ in vivo (e...
February 9, 2017: Neural Computation
https://www.readbyqxmd.com/read/28179882/connecting-artificial-brains-to-robots-in-a-comprehensive-simulation-framework-the-neurorobotics-platform
#15
Egidio Falotico, Lorenzo Vannucci, Alessandro Ambrosano, Ugo Albanese, Stefan Ulbrich, Juan Camilo Vasquez Tieck, Georg Hinkel, Jacques Kaiser, Igor Peric, Oliver Denninger, Nino Cauli, Murat Kirtay, Arne Roennau, Gudrun Klinker, Axel Von Arnim, Luc Guyot, Daniel Peppicelli, Pablo Martínez-Cañada, Eduardo Ros, Patrick Maier, Sandro Weber, Manuel Huber, David Plecher, Florian Röhrbein, Stefan Deser, Alina Roitberg, Patrick van der Smagt, Rüdiger Dillman, Paul Levi, Cecilia Laschi, Alois C Knoll, Marc-Oliver Gewaltig
Combined efforts in the fields of neuroscience, computer science, and biology allowed to design biologically realistic models of the brain based on spiking neural networks. For a proper validation of these models, an embodiment in a dynamic and rich sensory environment, where the model is exposed to a realistic sensory-motor task, is needed. Due to the complexity of these brain models that, at the current stage, cannot deal with real-time constraints, it is not possible to embed them into a real-world task...
2017: Frontiers in Neurorobotics
https://www.readbyqxmd.com/read/28177090/explaining-delusions-reducing-uncertainty-through-basic-and-computational-neuroscience
#16
Erin J Feeney, Stephanie M Groman, Jane R Taylor, Philip R Corlett
No abstract text is available yet for this article.
February 8, 2017: Schizophrenia Bulletin
https://www.readbyqxmd.com/read/28173997/social-learning-in-the-medial-prefrontal-cortex
#17
Matthew A J Apps, Jérôme Sallet
The ACC, and neighbouring areas, are among the most controversial and investigated brain areas in cognitive neuroscience. Despite the wealth of studies, there has been a significant absence of studies recording from the gyrus of the ACC (ACCg). In their recent study Hill and colleagues provide a rare examination of the properties of the ACCg. We highlight the emerging role of this region in signalling the key computations that drive social learning processes.
February 4, 2017: Trends in Cognitive Sciences
https://www.readbyqxmd.com/read/28156051/ct-of-the-head-for-acute-stroke-diagnostic-performance-of-a-tablet-computer-prior-to-intravenous-thrombolysis
#18
Patrick D McLaughlin, Fiachra Moloney, Siobhan B O'Neill, Karl James, Lee Crush, Oisin Flanagan, Michael M Maher, Gerald Wyse, Noel Fanning
INTRODUCTION: The authors propose that tablet computers could benefit patients with acute stroke in the remote care setting, where time to and accuracy of CT interpretation greatly influences patient outcome. METHODS: One hundred and fifty consecutive patients who presented to the Emergency Department of a tertiary referral neurosciences centre within a time window suitable for intravenous thrombolytic therapy were included. Images were wirelessly transmitted to a tablet computer (iPad 3rd Generation, model = A1430, Apple, Cupertino, CA) and were reviewed by radiologists with three levels of experience for signs of intracranial haemorrhage, large vessel occlusion and parenchymal infarction...
February 3, 2017: Journal of Medical Imaging and Radiation Oncology
https://www.readbyqxmd.com/read/28147506/nonlinear-resonances-and-multi-stability-in-simple-neural-circuits
#19
Leandro M Alonso
This article describes a numerical procedure designed to tune the parameters of periodically driven dynamical systems to a state in which they exhibit rich dynamical behavior. This is achieved by maximizing the diversity of subharmonic solutions available to the system within a range of the parameters that define the driving. The procedure is applied to a problem of interest in computational neuroscience: a circuit composed of two interacting populations of neurons under external periodic forcing. Depending on the parameters that define the circuit, such as the weights of the connections between the populations, the response of the circuit to the driving can be strikingly rich and diverse...
January 2017: Chaos
https://www.readbyqxmd.com/read/28138530/feedforward-and-feedback-frequency-dependent-interactions-in-a-large-scale-laminar-network-of-the-primate-cortex
#20
Jorge F Mejias, John D Murray, Henry Kennedy, Xiao-Jing Wang
Interactions between top-down and bottom-up processes in the cerebral cortex hold the key to understanding attentional processes, predictive coding, executive control, and a gamut of other brain functions. However, the underlying circuit mechanism remains poorly understood and represents a major challenge in neuroscience. We approached this problem using a large-scale computational model of the primate cortex constrained by new directed and weighted connectivity data. In our model, the interplay between feedforward and feedback signaling depends on the cortical laminar structure and involves complex dynamics across multiple (intralaminar, interlaminar, interareal, and whole cortex) scales...
November 2016: Science Advances
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