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https://www.readbyqxmd.com/read/28922858/contributions-of-the-medial-prefrontal-cortex-to-social-influence-in-economic-decision-making
#1
M A J Apps, N Ramnani
Economic decisions are guided by highly subjective reward valuations (SVs). Often these SVs are over-ridden when individuals conform to social norms. Yet, the neural mechanisms that underpin the distinct processing of such normative reward valuations (NVs) are poorly understood. The dorsomedial and ventromedial portions of the prefrontal cortex (dmPFC/vmPFC) are putatively key regions for processing social and economic information respectively. However, the contribution of these regions to economic decisions guided by social norms is unclear...
September 1, 2017: Cerebral Cortex
https://www.readbyqxmd.com/read/28922834/how-we-transmit-memories-to-other-brains-constructing-shared-neural-representations-via-communication
#2
A Zadbood, J Chen, Y C Leong, K A Norman, U Hasson
Humans are able to mentally construct an episode when listening to another person's recollection, even though they themselves did not experience the events. However, it is unknown how strongly the neural patterns elicited by mental construction resemble those found in the brain of the individual who experienced the original events. Using fMRI and a verbal communication task, we traced how neural patterns associated with viewing specific scenes in a movie are encoded, recalled, and then transferred to a group of naïve listeners...
October 1, 2017: Cerebral Cortex
https://www.readbyqxmd.com/read/28922645/spectrophotometric-determination-of-fluoxetine-by-molecularly-imprinted-polypyrrole-and-optimization-by-experimental-design-artificial-neural-network-and-genetic-algorithm
#3
Azizollah Nezhadali, Maryam Omidvar Motlagh, Samira Sadeghzadeh
A selective method based on molecularly imprinted polymer (MIP) solid-phase extraction (SPE) using UV-Vis spectrophotometry as a detection technique was developed for the determination of fluoxetine (FLU) in pharmaceutical and human serum samples. The MIPs were synthesized using pyrrole as a functional monomer in the presence of FLU as a template molecule. The factors that affecting the preparation and extraction ability of MIP such as amount of sorbent, initiator concentration, the amount of monomer to template ratio, uptake shaking rate, uptake time, washing buffer pH, take shaking rate, Taking time and polymerization time were considered for optimization...
September 13, 2017: Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy
https://www.readbyqxmd.com/read/28922545/neural-responses-to-linguistic-stimuli-in-children-with-and-without-autism-spectrum-disorder
#4
Kayla H Finch, Helen Tager-Flusberg, Charles A Nelson
Atypical neural responses to language have been found in toddlers with autism spectrum disorder (ASD) and in their unaffected siblings. However, given that language difficulties are often seen in these children, it is difficult to interpret whether these neural differences are a result of the diagnosis of ASD or impairments in their language abilities. In this current study, we recorded event-related potentials (ERPs) from four groups of 36-month-olds: low-risk control (LRC), high-risk for ASD defined as having an older sibling with ASD (HRA) but who do not have ASD or milder autism-like symptoms (HRA-Typ), HRA children who do not have ASD but exhibit milder autism-like symptoms (HRA-Atyp), and HRA children diagnosed with ASD (ASD)...
September 18, 2017: European Journal of Neuroscience
https://www.readbyqxmd.com/read/28922520/a-review-of-joint-attention-and-social-cognitive-brain-systems-in-typical-development-and-autism-spectrum-disorder
#5
Peter Mundy
This article provides a review of the increasingly detailed literature on the neurodevelopment of joint attention. Many findings from this literature support and inform the hypothesis that the neurodevelopment of joint attention contributes to the functional development of neural systems for human social cognition. Joint attention begins to develop by 5 months of age and is tantamount to the ability to adopt a common perspective with another person. It involves a whole-brain system with nodes in the: (a) dorsal and medial frontal cortex, (b) orbital frontal/insula cortex, (c) anterior/ posterior cingulate cortex, (d) superior temporal cortex, (e) precuneus/parietal cortex, and (f) amygdala and striatum...
September 18, 2017: European Journal of Neuroscience
https://www.readbyqxmd.com/read/28922512/interaction-of-spatial-and-non-spatial-cues-in-auditory-stream-segregation-in-the-european-starling
#6
Naoya Itatani, Georg M Klump
Integrating sounds from the same source and segregating sounds from different sources in an acoustic scene is an essential function of the auditory system. Naturally, the auditory system simultaneously makes use of multiple cues. Here, we investigate the interaction between spatial cues and frequency cues in stream segregation of European starlings (Sturnus vulgaris) using an objective measure of perception. Neural responses to streaming sounds were recorded while the bird was performing a behavioral task that results in a higher sensitivity during a one-stream than a two-stream percept...
September 18, 2017: European Journal of Neuroscience
https://www.readbyqxmd.com/read/28922355/image-identification-from-brain-activity-using-the-population-receptive-field-model
#7
Wietske Zuiderbaan, Ben M Harvey, Serge O Dumoulin
A goal of computational models is not only to explain experimental data but also to make new predictions. A current focus of computational neuroimaging is to predict features of the presented stimulus from measured brain signals. These computational neuroimaging approaches may be agnostic about the underlying neural processes or may be biologically inspired. Here, we use the biologically inspired population receptive field (pRF) approach to identify presented images from fMRI recordings of the visual cortex, using an explicit model of the underlying neural response selectivity...
2017: PloS One
https://www.readbyqxmd.com/read/28922350/stem-cells-and-cell-based-therapies-for-cerebral-palsy-a-call-for-rigor
#8
REVIEW
Lauren L Jantzie, Joseph Scafidi, Shenandoah Robinson
Cell-based therapies hold significant promise for infants at risk for cerebral palsy (CP) from perinatal brain injury (PBI). PBI leading to CP results from multi-faceted damage to neural cells. Complex developing neural networks are injured by neural cell damage plus unique perturbations in cell signaling. Given that cell-based therapies can simultaneously repair multiple injured neural components during critical neurodevelopmental windows, these interventions potentially offer efficacy for patients with CP...
September 18, 2017: Pediatric Research
https://www.readbyqxmd.com/read/28922152/brain-biomarkers-in-familial-alzheimer-s-disease-mouse-models
#9
Yafit Kuttner-Hirshler, Palamadai N Venkatasubramanian, Joan Apolinario, Jacqueline Bonds, Alice M Wyrwicz, Orly Lazarov
Alzheimer's disease (AD) is characterized by progressive loss of memory and cognitive deterioration. It is thought that the onset of the disease takes place several decades before memory deficits are apparent. Reliable biomarkers for the diagnosis or prognostication of the disease are highly desirable. Neural stem cells (NSC) exist in the adult brain throughout life and give rise to neural progenitor cells (NPC), which differentiate into neurons or glia. The level of NPC proliferation and new neuron formation is significantly compromised in mouse models of familial Alzheimer's disease (FAD)...
September 8, 2017: Journal of Alzheimer's Disease: JAD
https://www.readbyqxmd.com/read/28922138/finite-time-adaptive-control-for-a-class-of-nonlinear-systems-with-nonstrict-feedback-structure
#10
Yumei Sun, Bing Chen, Chong Lin, Honghong Wang
This paper focuses on finite-time adaptive neural tracking control for nonlinear systems in nonstrict feedback form. A semiglobal finite-time practical stability criterion is first proposed. Correspondingly, the finite-time adaptive neural control strategy is given by using this criterion. Unlike the existing results on adaptive neural/fuzzy control, the proposed adaptive neural controller guarantees that the tracking error converges to a sufficiently small domain around the origin in finite time, and other closed-loop signals are bounded...
September 18, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28922130/haze-removal-using-radial-basis-function-networks-for-visibility-restoration-applications
#11
Bo-Hao Chen, Shih-Chia Huang, Chian-Ying Li, Sy-Yen Kuo
Restoration of visibility in hazy images is the first relevant step of information analysis in many outdoor computer vision applications. To this aim, the restored image must feature clear visibility with sufficient brightness and visible edges, while avoiding the production of noticeable artifacts. In this paper, we propose a haze removal approach based on the radial basis function (RBF) through artificial neural networks dedicated to effectively removing haze formation while retaining not only the visible edges but also the brightness of restored images...
September 15, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28922129/dissipativity-and-synchronization-of-generalized-bam-neural-networks-with-multivariate-discontinuous-activations
#12
Dongshu Wang, Lihong Huang, Longkun Tang
This paper is concerned with the dissipativity and synchronization problems of a class of delayed bidirectional associative memory (BAM) neural networks in which neuron activations are modeled by discontinuous bivariate functions. First, the concept of the Filippov solution is extended to functional differential equations with discontinuous right-hand sides and mixed delays via functional differential inclusions. The global dissipativity of the Filippov solution to the considered BAM neural networks is proven using generalized Halanay inequalities and matrix measure approaches...
September 14, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28922128/deep-manifold-learning-combined-with-convolutional-neural-networks-for-action-recognition
#13
Xin Chen, Jian Weng, Wei Lu, Jiaming Xu, Jiasi Weng
Learning deep representations have been applied in action recognition widely. However, there have been a few investigations on how to utilize the structural manifold information among different action videos to enhance the recognition accuracy and efficiency. In this paper, we propose to incorporate the manifold of training samples into deep learning, which is defined as deep manifold learning (DML). The proposed DML framework can be adapted to most existing deep networks to learn more discriminative features for action recognition...
September 15, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28922126/functional-contour-following-via-haptic-perception-and-reinforcement-learning
#14
Randall B Hellman, Cem Tekin, Mihaela van der Schaar, Veronica J Santos
Many tasks involve the fine manipulation of objects despite limited visual feedback. In such scenarios, tactile and proprioceptive feedback can be leveraged for task completion. We present an approach for real-time haptic perception and decision-making for a haptics-driven, functional contour-following task: the closure of a ziplock bag. This task is challenging for robots because the bag is deformable, transparent, and visually occluded by artificial fingertip sensors that are also compliant. A deep neural net classifier was trained to estimate the state of a zipper within a robot's pinch grasp...
September 18, 2017: IEEE Transactions on Haptics
https://www.readbyqxmd.com/read/28922121/motion-blur-kernel-estimation-via-deep-learning
#15
Xiangyu Xu, Jinshan Pan, Yu-Jin Zhang, Ming-Hsuan Yang
The success of the state-of-the-art deblurring methods mainly depends on restoration of sharp edges in a coarse-tofine kernel estimation process. In this paper, we propose to learn a deep convolutional neural network for extracting sharp edges from blurred images. Motivated by the success of the existing filtering based deblurring methods, the proposed model consists of two stages: suppressing extraneous details and enhancing sharp edges. We show that the two-stage model simplifies the learning process and effectively restores sharp edges...
September 18, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28922116/iterative-low-dose-ct-reconstruction-with-priors-trained-by-artificial-neural-network
#16
Dufan Wu, Kyungsang Kim, Georges El Fakhri, Quanzheng Li
Dose reduction in computed tomography (CT) is essential for decreasing radiation risk in clinical applications. Iterative reconstruction algorithms are one of the most promising way to compensate for the increased noise due to reduction of photon flux. Most iterative reconstruction algorithms incorporate manually designed prior functions of the reconstructed image to suppress noises while maintaining structures of the image. These priors basically rely on smoothness constraints and cannot exploit more complex features of the image...
September 15, 2017: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/28922114/cross-modal-scene-networks
#17
Yusuf Aytar, Lluis Castrejon, Carl Vondrick, Hamed Pirsiavash, Antonio Torralba
People can recognize scenes across many different modalities beyond natural images. In this paper, we investigate how to learn cross-modal scene representations that transfer across modalities. To study this problem, we introduce a new cross-modal scene dataset. While convolutional neural networks can categorize scenes well, they also learn an intermediate representation not aligned across modalities, which is undesirable for cross-modal transfer applications. We present methods to regularize cross-modal convolutional neural networks so that they have a shared representation that is agnostic of the modality...
September 18, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28922053/distribution-and-function-of-voltage-gated-sodium-channels-in-the-nervous-system
#18
Jun Wang, Shao-Wu Ou, Yun-Jie Wang
Voltage-gated sodium channels (VGSCs) are the basic ion channels for neuronal excitability, which are crucial for the resting potential and the generation and propagation of action potentials in neurons. To date, at least nine distinct sodium channel isoforms have been detected in the nervous system. Recent studies have identified that voltage-gated sodium channels not only play an essential role in the normal electrophysiological activities of neurons but also have a close relationship with neurological diseases...
September 18, 2017: Channels
https://www.readbyqxmd.com/read/28921950/highly-efficient-and-rapid-neural-differentiation-of-mouse-embryonic-stem-cells-based-on-retinoic-acid-encapsulated-porous-nanoparticle
#19
Se-Jin Park, Seongchan Kim, Sung-Yon Kim, Noo Li Jeon, Joon Myong Song, Cheolhee Won, Dal-Hee Min
An improved cell conversion strategy for neural differentiation of mouse embryonic stem (mES) cells is developed by incorporating functionalized mesoporous silica nanoparticle (MSN) as an efficient delivery carrier of retinoic acid (RA), which is pleiotropic factor required for initiation of neural differentiation. Traditional RA-mediated neural differentiation methods required either pre-activation of the cells to the differentiating state by embryoid body (EB) formation or repetitive treatment of the differentiation factor...
September 18, 2017: ACS Applied Materials & Interfaces
https://www.readbyqxmd.com/read/28921909/first-natural-endocranial-cast-of-a-fossil-snake-cretaceous-of-patagonia-argentina
#20
Laura N Triviño, Adriana M Albino, María T Dozo, Jorge D Williams
In this study, we describe a natural endocranial cast included in a partially preserved medium-sized skull of the Upper Cretaceous South American snake Dinilysia patagonica. The endocast is composed of sedimentary filling of the cranial cavity in which the posterior brain, the vessels, the cranial nerves, and the inner ear surrounded by delicate semicircular canals, are represented. It is simple in form, with little differentiation between the three main areas (Forebrain, Midbrain and Hindbrain), and without flexures...
September 16, 2017: Anatomical Record: Advances in Integrative Anatomy and Evolutionary Biology
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