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https://www.readbyqxmd.com/read/28096408/rhythm-judgments-reveal-a-frequency-asymmetry-in-the-perception-and-neural-coding-of-sound-synchrony
#1
Magdalena Wojtczak, Anahita H Mehta, Andrew J Oxenham
In modern Western music, melody is commonly conveyed by pitch changes in the highest-register voice, whereas meter or rhythm is often carried by instruments with lower pitches. An intriguing and recently suggested possibility is that the custom of assigning rhythmic functions to lower-pitch instruments may have emerged because of fundamental properties of the auditory system that result in superior time encoding for low pitches. Here we compare rhythm and synchrony perception between low- and high-frequency tones, using both behavioral and EEG techniques...
January 17, 2017: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/28095201/multisensory-bayesian-inference-depends-on-synapse-maturation-during-training-theoretical-analysis-and-neural-modeling-implementation
#2
Mauro Ursino, Cristiano Cuppini, Elisa Magosso
Recent theoretical and experimental studies suggest that in multisensory conditions, the brain performs a near-optimal Bayesian estimate of external events, giving more weight to the more reliable stimuli. However, the neural mechanisms responsible for this behavior, and its progressive maturation in a multisensory environment, are still insufficiently understood. The aim of this letter is to analyze this problem with a neural network model of audiovisual integration, based on probabilistic population coding-the idea that a population of neurons can encode probability functions to perform Bayesian inference...
January 17, 2017: Neural Computation
https://www.readbyqxmd.com/read/28093550/experience-dependent-homeostasis-of-noise-at-inhibitory-synapses-preserves-information-coding-in-adult-visual-cortex
#3
Ming Gao, Jessica L Whitt, Shiyong Huang, Angela Lee, Stefan Mihalas, Alfredo Kirkwood, Hey-Kyoung Lee
Synapses are intrinsically 'noisy' in that neurotransmitter is occasionally released in the absence of an action potential. At inhibitory synapses, the frequency of action potential-independent release is orders of magnitude higher than that at excitatory synapses raising speculations that it may serve a function. Here we report that the frequency of action potential-independent inhibitory synaptic 'noise' (i.e. miniature inhibitory postsynaptic currents, mIPSCs) is highly regulated by sensory experience in visual cortex...
March 5, 2017: Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
https://www.readbyqxmd.com/read/28093478/long-non-coding-rna-malat1-regulates-cerebrovascular-pathologies-in-ischemic-stroke
#4
Xuejing Zhang, Xuelian Tang, Kai Liu, Milton H Hamblin, Ke-Jie Yin
: The study is designed to determine the role of long non-coding RNA (lncRNA), metastasis associated lung adenocarcinoma transcript 1 (Malat1), in ischemic stroke outcome. Primary mouse brain microvascular endothelial cells (BMECs) were cultured and treated with Malat1 GapmeR prior to 16h oxygen and glucose depravation (OGD). Cell death was assayed by LDH and MTT methods. Malat1 knockout and wildtype mice were subjected to 1h of middle cerebral artery occlusion (MCAO) and 24-72h of reperfusion...
January 16, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28092518/compositional-model-based-fisher-vector-coding-for-image-classi%C3%AF-cation
#5
Lingqiao Liu, Peng Wang, Chunhua Shen, Lei Wang, Anton van den Hengel, Chao Wang, Heng Tao Shen
Deriving from the gradient vector of a generative model of local features, Fisher vector coding (FVC) has been identified as an effective coding method for image classification. Most, if not all, FVC implementations employ the Gaussian mixture model (GMM) as the generative model for local features. However, the representative power of a GMM can be limited because it essentially assumes that local features can be characterized by a fixed number of feature prototypes, and the number of prototypes is usually small in FVC...
January 10, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28080962/-bodily-precision-a-predictive-coding-account-of-individual-differences-in-interoceptive-accuracy
#6
REVIEW
Vivien Ainley, Matthew A J Apps, Aikaterini Fotopoulou, Manos Tsakiris
Individuals differ in their awareness of afferent information from within their bodies, which is typically assessed by a heartbeat perception measure of 'interoceptive accuracy' (IAcc). Neural and behavioural correlates of this trait have been investigated, but a theoretical explanation has yet to be presented. Building on recent models that describe interoception within the free energy/predictive coding framework, this paper applies similar principles to IAcc, proposing that individual differences in IAcc depend on 'precision' in interoceptive systems, i...
November 19, 2016: Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
https://www.readbyqxmd.com/read/28079059/co-variation-of-peripheral-levels-of-mir-1202-and-brain-activity-and-connectivity-during-antidepressant-treatment
#7
Juan Pablo Lopez, Fabricio Pereira, Stéphane Richard-Devantoy, Marcelo Berlim, Eduardo Chachamovich, Laura M Fiori, Paola Niola, Gustavo Turecki, Fabrice Jollant
MicroRNAs are short non-coding molecules that play a major role in regulating gene expression. Peripheral levels of miR-1202 have been shown to predict and mediate antidepressant response. However, it is not clear to what extent these peripheral measures reflect central neural changes in vivo. We approached this problem with the combined use of peripheral miR-1202 measures and neuroimaging. At baseline and after 8 weeks of Desvenlafaxine (50-100 mg die), twenty patients were scanned with 3T Magnetic Resonance Imaging, first at rest then during the Go/NoGo task, a classical test of response inhibition...
January 12, 2017: Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology
https://www.readbyqxmd.com/read/28077709/semantic-congruence-accelerates-the-onset-of-the-neural-signals-of-successful-memory-encoding
#8
Pau A Packard, Antoni Rodríguez-Fornells, Nico Bunzeck, Berta Nicolás, Ruth de Diego-Balaguer, Lluís Fuentemilla
: As the stream of experience unfolds, our memory system rapidly transforms current inputs into long-lasting meaningful memories. A putative neural mechanism that strongly influences how input elements are transformed into meaningful memory codes relies on the ability to integrate them with existing structures of knowledge or schemas. However, it is not yet clear whether schema-related integration neural mechanisms occur during online encoding. In the current investigation, we examined the encoding-dependent nature of this phenomenon in humans...
January 11, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28077663/temporally-precise-control-of-single-neuron-spiking-by-juxtacellular-nanostimulation
#9
Maik Christopher Stüttgen, Lourens Jp Nonkes, Hans-Rüdiger Ap Geis, Paul H Tiesinga, Arthur R Houweling
Temporal patterns of action potentials influence a variety of activity-dependent intra- and inter-cellular processes and play an important role in theories of neural coding. Elucidating the mechanisms underlying these phenomena requires imposing spike trains with precisely defined patterns, but this has been challenging due to the limitations of existing stimulation techniques. Here we present a new nanostimulation method providing control over the action potential output of individual cortical neurons. Spikes are elicited through the juxtacellular application of short-duration fluctuating currents ('kurzpulses'), allowing for the sub-millisecond precise and reproducible induction of arbitrary patterns of action potentials at all physiologically relevant firing frequencies (<120 Hz), including minute-long spike trains recorded in freely moving animals...
January 11, 2017: Journal of Neurophysiology
https://www.readbyqxmd.com/read/28074777/cell-assemblies-at-multiple-time-scales-with-arbitrary-lag-constellations
#10
Eleonora Russo, Daniel Durstewitz
Hebb's idea of a cell assembly as the fundamental unit of neural information processing has dominated neuroscience like no other theoretical concept within the past 60 years. A range of different physiological phenomena, from precisely synchronized spiking to broadly simultaneous rate increases, has been subsumed under this term. Yet progress in this area is hampered by the lack of statistical tools that would enable to extract assemblies with arbitrary constellations of time lags, and at multiple temporal scales, partly due to the severe computational burden...
January 11, 2017: ELife
https://www.readbyqxmd.com/read/28071765/neural-codes-of-seeing-architectural-styles
#11
Heeyoung Choo, Jack L Nasar, Bardia Nikrahei, Dirk B Walther
Images of iconic buildings, such as the CN Tower, instantly transport us to specific places, such as Toronto. Despite the substantial impact of architectural design on people's visual experience of built environments, we know little about its neural representation in the human brain. In the present study, we have found patterns of neural activity associated with specific architectural styles in several high-level visual brain regions, but not in primary visual cortex (V1). This finding suggests that the neural correlates of the visual perception of architectural styles stem from style-specific complex visual structure beyond the simple features computed in V1...
January 10, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28069762/orbitofrontal-cortex-neurons-respond-to-sound-and-activate-primary-auditory-cortex-neurons
#12
Daniel E Winkowski, Daniel A Nagode, Kevin J Donaldson, Pingbo Yin, Shihab A Shamma, Jonathan B Fritz, Patrick O Kanold
Sensory environments change over a wide dynamic range and sensory processing can change rapidly to facilitate stable perception. While rapid changes may occur throughout the sensory processing pathway, cortical changes are believed to profoundly influence perception. Prior stimulation studies showed that orbitofrontal cortex (OFC) can modify receptive fields and sensory coding in A1, but the engagement of OFC during listening and the pathways mediating OFC influences on A1 are unknown. We show in mice that OFC neurons respond to sounds consistent with a role of OFC in audition...
January 8, 2017: Cerebral Cortex
https://www.readbyqxmd.com/read/28068420/graphics-processing-unit-accelerated-code-for-computing-second-order-wiener-kernels-and-spike-triggered-covariance
#13
Omer Mano, Damon A Clark
Sensory neuroscience seeks to understand and predict how sensory neurons respond to stimuli. Nonlinear components of neural responses are frequently characterized by the second-order Wiener kernel and the closely-related spike-triggered covariance (STC). Recent advances in data acquisition have made it increasingly common and computationally intensive to compute second-order Wiener kernels/STC matrices. In order to speed up this sort of analysis, we developed a graphics processing unit (GPU)-accelerated module that computes the second-order Wiener kernel of a system's response to a stimulus...
2017: PloS One
https://www.readbyqxmd.com/read/28063436/the-many-body-expansion-combined-with-neural-networks
#14
Kun Yao, John E Herr, John Parkhill
Fragmentation methods such as the many-body expansion (MBE) are a common strategy to model large systems by partitioning energies into a hierarchy of decreasingly significant contributions. The number of calculations required for chemical accuracy is still prohibitively expensive for the ab initio MBE to compete with force field approximations for applications beyond single-point energies. Alongside the MBE, empirical models of ab initio potential energy surfaces have improved, especially non-linear models based on neural networks (NNs) which can reproduce ab initio potential energy surfaces rapidly and accurately...
January 7, 2017: Journal of Chemical Physics
https://www.readbyqxmd.com/read/28055940/deep-nonlinear-metric-learning-for-3-d-shape-retrieval
#15
Jin Xie, Guoxian Dai, Fan Zhu, Ling Shao, Yi Fang
Effective 3-D shape retrieval is an important problem in 3-D shape analysis. Recently, feature learning-based shape retrieval methods have been widely studied, where the distance metrics between 3-D shape descriptors are usually hand-crafted. In this paper, motivated by the fact that deep neural network has the good ability to model nonlinearity, we propose to learn an effective nonlinear distance metric between 3-D shape descriptors for retrieval. First, the locality-constrained linear coding method is employed to encode each vertex on the shape and the encoding coefficient histogram is formed as the global 3-D shape descriptor to represent the shape...
December 28, 2016: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28052240/trim28-controls-a-gene-regulatory-network-based-on-endogenous-retroviruses-in-human-neural-progenitor-cells
#16
Per Ludvik Brattås, Marie E Jönsson, Liana Fasching, Jenny Nelander Wahlestedt, Mansoureh Shahsavani, Ronny Falk, Anna Falk, Patric Jern, Malin Parmar, Johan Jakobsson
Endogenous retroviruses (ERVs), which make up 8% of the human genome, have been proposed to participate in the control of gene regulatory networks. In this study, we find a region- and developmental stage-specific expression pattern of ERVs in the developing human brain, which is linked to a transcriptional network based on ERVs. We demonstrate that almost 10,000, primarily primate-specific, ERVs act as docking platforms for the co-repressor protein TRIM28 in human neural progenitor cells, which results in the establishment of local heterochromatin...
January 3, 2017: Cell Reports
https://www.readbyqxmd.com/read/28044016/is-predictability-salient-a-study-of-attentional-capture-by-auditory-patterns
#17
Rosy Southwell, Anna Baumann, Cécile Gal, Nicolas Barascud, Karl Friston, Maria Chait
In this series of behavioural and electroencephalography (EEG) experiments, we investigate the extent to which repeating patterns of sounds capture attention. Work in the visual domain has revealed attentional capture by statistically predictable stimuli, consistent with predictive coding accounts which suggest that attention is drawn to sensory regularities. Here, stimuli comprised rapid sequences of tone pips, arranged in regular (REG) or random (RAND) patterns. EEG data demonstrate that the brain rapidly recognizes predictable patterns manifested as a rapid increase in responses to REG relative to RAND sequences...
February 19, 2017: Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
https://www.readbyqxmd.com/read/28044015/contextual-modulation-of-primary-visual-cortex-by-auditory-signals
#18
REVIEW
L S Petro, A T Paton, L Muckli
Early visual cortex receives non-feedforward input from lateral and top-down connections (Muckli & Petro 2013 Curr. Opin. Neurobiol. 23, 195-201. (doi:10.1016/j.conb.2013.01.020)), including long-range projections from auditory areas. Early visual cortex can code for high-level auditory information, with neural patterns representing natural sound stimulation (Vetter et al. 2014 Curr. Biol. 24, 1256-1262. (doi:10.1016/j.cub.2014.04.020)). We discuss a number of questions arising from these findings. What is the adaptive function of bimodal representations in visual cortex? What type of information projects from auditory to visual cortex? What are the anatomical constraints of auditory information in V1, for example, periphery versus fovea, superficial versus deep cortical layers? Is there a putative neural mechanism we can infer from human neuroimaging data and recent theoretical accounts of cortex? We also present data showing we can read out high-level auditory information from the activation patterns of early visual cortex even when visual cortex receives simple visual stimulation, suggesting independent channels for visual and auditory signals in V1...
February 19, 2017: Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
https://www.readbyqxmd.com/read/28043919/a-spontaneous-and-novel-pax3-mutant-mouse-that-models-waardenburg-syndrome-and-neural-tube-defects
#19
Tetsuo Ohnishi, Ikuo Miura, Hisako Ohba, Chie Shimamoto, Yoshimi Iwayama, Shigeharu Wakana, Takeo Yoshikawa
BACKGROUND: Genes responsible for reduced pigmentation phenotypes in rodents are associated with human developmental defects, such as Waardenburg syndrome, where patients display congenital deafness along with various abnormalities mostly related to neural crest development deficiency. OBJECTIVE: In this study, we identified a spontaneous mutant mouse line Rwa, which displays variable white spots on mouse bellies and white digits and tail, on a C57BL/6N genetic background...
December 30, 2016: Gene
https://www.readbyqxmd.com/read/28039373/a-model-of-the-superior-colliculus-predicts-fixation-locations-during-scene-viewing-and-visual-search
#20
Hossein Adeli, Françoise Vitu, Gregory J Zelinsky
: Modern computational models of attention predict fixations using saliency maps and target maps, which prioritize locations for fixation based on feature contrast and target goals, respectively. But while many such models are biologically plausible, none have looked to the oculomotor system for design constraints or parameter specification. Conversely, while most models of saccade programming are tightly coupled to underlying neurophysiology, none have been tested using real-world stimuli and tasks...
December 30, 2016: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
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