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https://www.readbyqxmd.com/read/28103649/amlodipine-an-l-type-calcium-channel-blocker-protects-against-chlorpromazine-induced-neurobehavioural-deficits-in-mice
#1
Oluwafemi E Kale, Olufunsho Awodele, Temitope O Ogundare, Martins Ekor
The present study investigated the modulatory and chemopreventive benefit of amlodipine (AML), a dihydropyridine calcium channel antagonist, against neurobehavioural abnormalities (NAs) associated with chlorpromazine (CPZ) toxicity in mice. Adult mice were divided into five groups of 6 animals/group. Group 1 (control) was administered saline (10 ml/kg i.p.). Group 2 received CPZ (2 mg/kg i.p.). Groups 3 and 4 received bromocriptine (BMC, 2.5 mg/kg s.c.) and AML (1 mg/kg s.c.) respectively while group 5 received their combination...
January 19, 2017: Fundamental & Clinical Pharmacology
https://www.readbyqxmd.com/read/28103570/an-extreme-learning-machine-approach-to-density-estimation-problems
#2
Cristiano Cervellera, Danilo Maccio
In this paper, we discuss how the extreme learning machine (ELM) framework can be effectively employed in the unsupervised context of multivariate density estimation. In particular, two algorithms are introduced, one for the estimation of the cumulative distribution function underlying the observed data, and one for the estimation of the probability density function. The algorithms rely on the concept of $F$-discrepancy, which is closely related to the Kolmogorov-Smirnov criterion for goodness of fit. Both methods retain the key feature of the ELM of providing the solution through random assignment of the hidden feature map and a very light computational burden...
January 17, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28103558/effective-multi-query-expansions-collaborative-deep-networks-based-feature-learning-for-robust-landmark-retrieval
#3
Yang Wang, Xuemin Lin, Lin Wu, Wenjie Zhang
Given a query photo issued by a user (q-user), the landmark retrieval is to return a set of photos with their landmarks similar to those of the query, while the existing studies on the landmark retrieval focus on exploiting geometries of landmarks for similarity matches between candidate photos and a query photo. We observe that the same landmarks provided by different users over social media community may convey different geometry information depending on the viewpoints and/or angles, and may subsequently yield very different results...
January 18, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28103557/data-dependent-label-distribution-learning-for-age-estimation
#4
Zhouzhou He, Xi Li, Zhongfei Zhang, Fei Wu, Xin Geng, Yaqing Zhang, Ming-Hsuan Yang, Yueting Zhuang
As an important and challenging problem in computer vision, face age estimation is typically cast as a classification or regression problem over a set of face samples with respect to several ordinal age labels, which have intrinsically cross-age correlations across adjacent age dimensions. As a result, such correlations usually lead to the age label ambiguities of the face samples. Namely, each face sample is associated with a latent label distribution that encodes the cross-age correlation information on label ambiguities...
January 18, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28103556/steerable-wavelet-machines-swm-learning-moving-frames-for-texture-classification
#5
Adrien Depeursinge, Zsuzsanna Puspoki, John Paul Ward, Michael Unser
We present texture operators encoding classspecific local organizations of image directions (LOID) in a rotation-invariant fashion. The LOIDs are key for visual understanding, and are at the origin of the success of the popular approaches such as local binary patterns (LBP) and the scaleinvariant feature transform (SIFT). Whereas LBPs and SIFT yield handcrafted image representations, we propose to learn dataspecific representations of the LOIDs in a rotation-invariant fashion. The image operators are based on steerable circular harmonic wavelets (CHW), offering a rich and yet compact initial representation for characterizing natural textures...
January 18, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28103555/robust-head-pose-estimation-based-on-partially-latent-mixture-of-linear-regressions
#6
Vincent Drouard, Radu Horaud, Antoine Deleforge, Sileye Ba, Georgios Evangelidis
Head-pose estimation has many applications, such as social event analysis, human-robot and human-computer interaction, driving assistance, and so forth. Head-pose estimation is challenging because it must cope with changing illumination conditions, variabilities in face orientation and in appearance, partial occlusions of facial landmarks, as well as bounding-box-to- face alignment errors. We propose tu use a mixture of linear regressions with partially-latent output. This regression method learns to map high-dimensional feature vectors (extracted from bounding boxes of faces) onto the joint space of head-pose angles and bounding-box shifts, such that they are robustly predicted in the presence of unobservable phenomena...
January 16, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28103548/dimensionality-reduction-on-spd-manifolds-the-emergence-of-geometry-aware-methods
#7
Mehrtash Harandi, Mathieu Salzmann, Richard Hartley
Representing images and videos with Symmetric Positive Definite (SPD) matrices, and considering the Riemannian geometry of the resulting space, has been shown to yield high discriminative power in many visual recognition tasks. Unfortunately, computation on the Riemannian manifold of SPD matrices -especially of high-dimensional ones- comes at a high cost that limits the applicability of existing techniques. In this paper, we introduce algorithms able to handle high-dimensional SPD matrices by constructing a lower-dimensional SPD manifold...
January 18, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28103545/a-multimodal-speech-capture-system-for-speech-rehabilitation-and-learning
#8
Nordine Sebkhi, Dhyey Desai, Mohammad Islam, Jun Lu, Kimberly Wilson, Maysam Ghovanloo
Speech-language pathologists (SLPs) are trained to correct articulation of people diagnosed with motor speech disorders by analyzing articulators' motion and assessing speech outcome while patients speak. To assist SLPs in this task, we are presenting the Multimodal Speech Capture System (MSCS) that records and displays kinematics of key speech articulators, the tongue and lips, along with voice, using unobtrusive methods. Collected speech modalities, tongue motion, lips gestures, and voice, are visualized not only in real-time to provide patients with instant feedback but also offline to allow SLPs to perform post-analysis of articulators' motion, particularly the tongue, with its prominent but hardly visible role in articulation...
January 18, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28103539/algorithm-animation-with-galant
#9
Matthias F Stallmann
Although surveys suggest positive student attitudes toward the use of algorithm animations, it is not clear that they improve learning outcomes. The Graph Algorithm Animation Tool, or Galant, challenges and motivates students to engage more deeply with algorithm concepts, without distracting them with programming language details or GUIs. Even though Galant is specifically designed for graph algorithms, it has also been used to animate other algorithms, most notably sorting algorithms.
January 2017: IEEE Computer Graphics and Applications
https://www.readbyqxmd.com/read/28103527/distinct-cortico-striatal-connections-with-subthalamic-nucleus-underlie-facets-of-compulsivity
#10
Laurel S Morris, Kwangyeol Baek, Valerie Voon
The capacity to flexibly respond to contextual changes is crucial to adapting to a dynamic environment. Compulsivity, or behavioural inflexibility, consists of heterogeneous subtypes with overlapping yet discrete neural substrates. The subthalamic nucleus (STN) mediates the switch from automatic to controlled processing to slow, break or stop behaviour when necessary. Rodent STN lesions or inactivation are linked with perseveration or repetitive, compulsive responding. However, there are few studies examining the role of latent STN-centric neural networks and compulsive behaviour in healthy individuals...
December 29, 2016: Cortex; a Journal Devoted to the Study of the Nervous System and Behavior
https://www.readbyqxmd.com/read/28103496/toddlers-action-prediction-statistical-learning-of-continuous-action-sequences
#11
Claire D Monroy, Sarah A Gerson, Sabine Hunnius
The current eye-tracking study investigated whether toddlers use statistical information to make anticipatory eye movements while observing continuous action sequences. In two conditions, 19-month-old participants watched either a person performing an action sequence (Agent condition) or a self-propelled visual event sequence (Ghost condition). Both sequences featured a statistical structure in which certain action pairs occurred with deterministic transitional probabilities. Toddlers learned the transitional probabilities between the action steps of the deterministic action pairs and made predictive fixations to the location of the next action in the Agent condition but not in the Ghost condition...
January 16, 2017: Journal of Experimental Child Psychology
https://www.readbyqxmd.com/read/28103483/dynamic-interaction-between-reinforcement-learning-and-attention-in-multidimensional-environments
#12
Yuan Chang Leong, Angela Radulescu, Reka Daniel, Vivian DeWoskin, Yael Niv
Little is known about the relationship between attention and learning during decision making. Using eye tracking and multivariate pattern analysis of fMRI data, we measured participants' dimensional attention as they performed a trial-and-error learning task in which only one of three stimulus dimensions was relevant for reward at any given time. Analysis of participants' choices revealed that attention biased both value computation during choice and value update during learning. Value signals in the ventromedial prefrontal cortex and prediction errors in the striatum were similarly biased by attention...
January 18, 2017: Neuron
https://www.readbyqxmd.com/read/28103482/synaptic-plasticity-onto-dopamine-neurons-shapes-fear-learning
#13
Marco Pignatelli, George Kwabena Essien Umanah, Sissi Palma Ribeiro, Rong Chen, Senthilkumar Senthil Karuppagounder, Hau-Jie Yau, Stephen Eacker, Valina Lynn Dawson, Ted Murray Dawson, Antonello Bonci
Fear learning is a fundamental behavioral process that requires dopamine (DA) release. Experience-dependent synaptic plasticity occurs on DA neurons while an organism is engaged in aversive experiences. However, whether synaptic plasticity onto DA neurons is causally involved in aversion learning is unknown. Here, we show that a stress priming procedure enhances fear learning by engaging VTA synaptic plasticity. Moreover, we took advantage of the ability of the ATPase Thorase to regulate the internalization of AMPA receptors (AMPARs) in order to selectively manipulate glutamatergic synaptic plasticity on DA neurons...
January 18, 2017: Neuron
https://www.readbyqxmd.com/read/28103481/motor-learning-requires-purkinje-cell-synaptic-potentiation-through-activation-of-ampa-receptor-subunit-glua3
#14
Nicolas Gutierrez-Castellanos, Carla M Da Silva-Matos, Kuikui Zhou, Cathrin B Canto, Maria C Renner, Linda M C Koene, Ozgecan Ozyildirim, Rolf Sprengel, Helmut W Kessels, Chris I De Zeeuw
Accumulating evidence indicates that cerebellar long-term potentiation (LTP) is necessary for procedural learning. However, little is known about its underlying molecular mechanisms. Whereas AMPA receptor (AMPAR) subunit rules for synaptic plasticity have been extensively studied in relation to declarative learning, it is unclear whether these rules apply to cerebellum-dependent motor learning. Here we show that LTP at the parallel-fiber-to-Purkinje-cell synapse and adaptation of the vestibulo-ocular reflex depend not on GluA1- but on GluA3-containing AMPARs...
January 18, 2017: Neuron
https://www.readbyqxmd.com/read/28103480/adrenergic-gate-release-for-spike-timing-dependent-synaptic-potentiation
#15
Yanling Liu, Lei Cui, Martin K Schwarz, Yan Dong, Oliver M Schlüter
Spike timing-dependent synaptic plasticity (STDP) serves as a key cellular correlate of associative learning, which is facilitated by elevated attentional and emotional states involving activation of adrenergic signaling. At cellular levels, adrenergic signaling increases dendrite excitability, but the underlying mechanisms remain elusive. Here we show that activation of β2-adrenoceptors promoted STD long-term synaptic potentiation at mouse hippocampal excitatory synapses by inactivating dendritic Kv1.1-containing potassium channels, which increased dendrite excitability and facilitated dendritic propagation of postsynaptic depolarization, potentially improving coincidental activation of pre- and postsynaptic terminals...
January 18, 2017: Neuron
https://www.readbyqxmd.com/read/28103477/a-brief-history-of-long-term-potentiation
#16
REVIEW
Roger A Nicoll
Since the discovery of long-term potentiation (LTP) in 1973, thousands of papers have been published on this intriguing phenomenon, which provides a compelling cellular model for learning and memory. Although LTP has suffered considerable growing pains over the years, LTP has finally come of age. Here the rich history of LTP is reviewed. These are exciting times and the pace of discovery is remarkable.
January 18, 2017: Neuron
https://www.readbyqxmd.com/read/28103475/a-two-way-street-between-attention-and-learning
#17
Tessa Rusch, Christoph W Korn, Jan Gläscher
In an elegant model-based fMRI study, Leong et al. (2017) demonstrate how attention and learning interact to facilitate value-based decision-making. They combine computational modeling with empirical measures of attentional selection derived from eye-tracking data and multivariate pattern analyses.
January 18, 2017: Neuron
https://www.readbyqxmd.com/read/28103474/learning-about-synaptic-glua3
#18
Zhengping Jia, Graham L Collingridge
In this issue of Neuron, Gutierrez-Castellanos et al. (2017) reveal a critical role for the AMPA receptor subunit GluA3 in cerebellar synaptic plasticity and motor learning in mice.
January 18, 2017: Neuron
https://www.readbyqxmd.com/read/28103469/transitions-of-postural-coordination-as-a-function-of-frequency-of-the-moving-support-platform
#19
Aviroop Dutt-Mazumder, Karl Newell
This study was set-up to investigate the multi-segmental organization of human postural control in a dynamic balance task. The focus was on the coupling between the center of mass (CoM) and center of pressure (CoP) as a candidate collective variable that supports maintaining balance on a sinusoidal oscillating platform in the medial-lateral (ML) plane and was continuously scaled up and then down across a frequency range from 0.2Hz to 1.2Hz. The CoM-CoP coordination changed from in-phase to anti-phase and anti-phase to in-phase at a critical frequency (∼0...
January 16, 2017: Human Movement Science
https://www.readbyqxmd.com/read/28103284/gene-expression-profiling-of-bronchoalveolar-lavage-cells-preceding-a-clinical-diagnosis-of-chronic-lung-allograft-dysfunction
#20
S Samuel Weigt, Xiaoyan Wang, Vyacheslav Palchevskiy, Aric L Gregson, Naman Patel, Ariss DerHovanessian, Michael Y Shino, David M Sayah, Shirin Birjandi, Joseph P Lynch, Rajan Saggar, Abbas Ardehali, David J Ross, Scott M Palmer, David Elashoff, John A Belperio
BACKGROUND: Chronic Lung Allograft Dysfunction (CLAD) is the main limitation to long-term survival after lung transplantation. Although CLAD is usually not responsive to treatment, earlier identification may improve treatment prospects. METHODS: In a nested case control study, 1-year post transplant surveillance bronchoalveolar lavage (BAL) fluid samples were obtained from incipient CLAD (n = 9) and CLAD free (n = 8) lung transplant recipients. Incipient CLAD cases were diagnosed with CLAD within 2 years, while controls were free from CLAD for at least 4 years following bronchoscopy...
2017: PloS One
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