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https://www.readbyqxmd.com/read/28424576/defensive-vocalizations-and-motor-asymmetry-triggered-by-disinhibition-of-the-periaqueductal-gray-in-non-human-primates
#1
Patrick A Forcelli, Hannah F Waguespack, Ludise Malkova
Rapid and reflexive responses to threats are present across phylogeny. The neural circuitry mediating reflexive defense reactions has been well-characterized in a variety of species, for example, in rodents and cats, the detection of and species-typical response to threats is mediated by a network of structures including the midbrain tectum (deep and intermediate layers of the superior colliculus [DLSC]), periaqueductal gray (PAG), and forebrain structures such as the amygdala and hypothalamus. However, relatively little is known about the functional architecture of defense circuitry in primates...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28416459/the-error-of-broca-from-the-traditional-localizationist-concept-to-a-connectomal-anatomy-of-human-brain
#2
REVIEW
Hugues Duffau
Neurology, especially aphasiology, was mainly built on behavioral-structural correlations ("lesion method"). In this setting, Broca's area has been considered as the "speech area"; moreover, this observation led to localizationism. However, advances in brain mapping techniques, as functional neuroimaging and direct electrical stimulation in patients undergoing awake surgery for gliomas, has resulted in a paradigmatic shift regarding models of neural architecture. In fact, the brain is organized in distributed complex networks underpinning sensorimotor, visuospatial, language, cognitive and emotional functions...
April 14, 2017: Journal of Chemical Neuroanatomy
https://www.readbyqxmd.com/read/28405191/cognitive-architecture-with-evolutionary-dynamics-solves-insight-problem
#3
Anna Fedor, István Zachar, András Szilágyi, Michael Öllinger, Harold P de Vladar, Eörs Szathmáry
In this paper, we show that a neurally implemented a cognitive architecture with evolutionary dynamics can solve the four-tree problem. Our model, called Darwinian Neurodynamics, assumes that the unconscious mechanism of problem solving during insight tasks is a Darwinian process. It is based on the evolution of patterns that represent candidate solutions to a problem, and are stored and reproduced by a population of attractor networks. In our first experiment, we used human data as a benchmark and showed that the model behaves comparably to humans: it shows an improvement in performance if it is pretrained and primed appropriately, just like human participants in Kershaw et al...
2017: Frontiers in Psychology
https://www.readbyqxmd.com/read/28381998/real-time-biologically-inspired-action-recognition-from-key-poses-using-a-neuromorphic-architecture
#4
Georg Layher, Tobias Brosch, Heiko Neumann
Intelligent agents, such as robots, have to serve a multitude of autonomous functions. Examples are, e.g., collision avoidance, navigation and route planning, active sensing of its environment, or the interaction and non-verbal communication with people in the extended reach space. Here, we focus on the recognition of the action of a human agent based on a biologically inspired visual architecture of analyzing articulated movements. The proposed processing architecture builds upon coarsely segregated streams of sensory processing along different pathways which separately process form and motion information (Layher et al...
2017: Frontiers in Neurorobotics
https://www.readbyqxmd.com/read/28371771/ecg-based-classification-of-resuscitation-cardiac-rhythms-for-retrospective-data-analysis
#5
Ali Bahrami Rad, Trygve Eftestol, Kjersti Engan, Unai Irusta, Jan Terje Kvaloy, Jo Kramer-Johansen, Lars Wik, Aggelos K Katsaggelos
There is a need to monitor the heart rhythm in resuscitation to improve treatment quality. Resuscitation rhythms are categorized into: ventricular tachycardia (VT), ventricular fibrillation (VF), pulseless electrical activity (PEA), asystole (AS), and pulse-generating rhythm (PR). Manual annotation of rhythms is time-consuming and infeasible for large datasets. Our objective was to develop ECG-based algorithms for the retrospective and automatic classification of resuscitation cardiac rhythms. METHODS: The dataset consisted of 1631 3- second ECG segments with clinical rhythm annotations, obtained from 298 out-of-hospital cardiac arrest patients...
March 30, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28361323/slide-automatic-spine-level-identification-system-using-a-deep-convolutional-neural-network
#6
Jorden Hetherington, Victoria Lessoway, Vit Gunka, Purang Abolmaesumi, Robert Rohling
PURPOSE: Percutaneous spinal needle insertion procedures often require proper identification of the vertebral level to effectively and safely deliver analgesic agents. The current clinical method involves "blind" identification of the vertebral level through manual palpation of the spine, which has only 30% reported accuracy. Therefore, there is a need for better anatomical identification prior to needle insertion. METHODS: A real-time system was developed to identify the vertebral level from a sequence of ultrasound images, following a clinical imaging protocol...
March 30, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28351973/model-of-brain-activation-predicts-the-neural-collective-influence-map-of-the-brain
#7
Flaviano Morone, Kevin Roth, Byungjoon Min, H Eugene Stanley, Hernán A Makse
Efficient complex systems have a modular structure, but modularity does not guarantee robustness, because efficiency also requires an ingenious interplay of the interacting modular components. The human brain is the elemental paradigm of an efficient robust modular system interconnected as a network of networks (NoN). Understanding the emergence of robustness in such modular architectures from the interconnections of its parts is a longstanding challenge that has concerned many scientists. Current models of dependencies in NoN inspired by the power grid express interactions among modules with fragile couplings that amplify even small shocks, thus preventing functionality...
March 28, 2017: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/28339747/deep-learning-for-pharmacovigilance-recurrent-neural-network-architectures-for-labeling-adverse-drug-reactions-in-twitter-posts
#8
Anne Cocos, Alexander G Fiks, Aaron J Masino
Objective: Social media is an important pharmacovigilance data source for adverse drug reaction (ADR) identification. Human review of social media data is infeasible due to data quantity, thus natural language processing techniques are necessary. Social media includes informal vocabulary and irregular grammar, which challenge natural language processing methods. Our objective is to develop a scalable, deep-learning approach that exceeds state-of-the-art ADR detection performance in social media...
February 22, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28318904/dual-memory-neural-networks-for-modeling-cognitive-activities-of-humans-via-wearable-sensors
#9
Sang-Woo Lee, Chung-Yeon Lee, Dong-Hyun Kwak, Jung-Woo Ha, Jeonghee Kim, Byoung-Tak Zhang
Wearable devices, such as smart glasses and watches, allow for continuous recording of everyday life in a real world over an extended period of time or lifelong. This possibility helps better understand the cognitive behavior of humans in real life as well as build human-aware intelligent agents for practical purposes. However, modeling the human cognitive activity from wearable-sensor data stream is challenging because learning new information often results in loss of previously acquired information, causing a problem known as catastrophic forgetting...
February 20, 2017: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/28315294/neuronal-cell-sheet-of-cortical-motor-neuron-phenotype-derived-from-human-ips-cells
#10
Noboru Suzuki, Nagisa Arimitsu, Jun Shimizu, Kenji Takai, Chieko Hirotsu, Erika Takada, Yuji Ueda, Sueshige Wakisaka, Naruyoshi Fujiwara, Tomoko Suzuki
<p>Transplantation of stem cells which differentiate into more mature neural cells brings about functional improvement in pre-clinical studies of stroke. Previous transplant approaches in diseased brain have utilized injection of the cells in a cell suspension. In addition, neural stem cells were preferentially used as graft. However, these cells had no specific relationship to the damaged tissue of stroke patients and brain injury. The injection of cells in a suspension destroyed the cell-cell interactions that are suggested to be important for promoting functional integrity as cortical motor neurons...
March 17, 2017: Cell Transplantation
https://www.readbyqxmd.com/read/28303100/a-neural-dynamic-architecture-for-reaching-and-grasping-integrates-perception-and-movement-generation-and-enables-on-line-updating
#11
Guido Knips, Stephan K U Zibner, Hendrik Reimann, Gregor Schöner
Reaching for objects and grasping them is a fundamental skill for any autonomous robot that interacts with its environment. Although this skill seems trivial to adults, who effortlessly pick up even objects they have never seen before, it is hard for other animals, for human infants, and for most autonomous robots. Any time during movement preparation and execution, human reaching movement are updated if the visual scene changes (with a delay of about 100 ms). The capability for online updating highlights how tightly perception, movement planning, and movement generation are integrated in humans...
2017: Frontiers in Neurorobotics
https://www.readbyqxmd.com/read/28289062/mapping-neurodegenerative-disease-onset-and-progression
#12
William W Seeley
Brain networks have been of long-standing interest to neurodegeneration researchers, including but not limited to investigators focusing on conventional prion diseases, which are known to propagate along neural pathways. Tools for human network mapping, however, remained inadequate, limiting our understanding of human brain network architecture and preventing clinical research applications. Until recently, neuropathological studies were the only viable approach to mapping disease onset and progression in humans but required large autopsy cohorts and laborious methods for whole-brain sectioning and staining...
March 13, 2017: Cold Spring Harbor Perspectives in Biology
https://www.readbyqxmd.com/read/28287998/design-and-validation-of-a-virtual-player-for-studying-interpersonal-coordination-in-the-mirror-game
#13
Chao Zhai, Francesco Alderisio, Piotr Slowinski, Krasimira Tsaneva-Atanasova, Mario di Bernardo
The mirror game has been recently proposed as a simple, yet powerful paradigm for studying interpersonal interactions. It has been suggested that a virtual partner able to play the game with human subjects can be an effective tool to affect the underlying neural processes needed to establish the necessary connections between the players, and also to provide new clinical interventions for rehabilitation of patients suffering from social disorders. Inspired by the motor processes of the central nervous system (CNS) and the musculoskeletal system in the human body, in this paper we develop a novel interactive cognitive architecture based on nonlinear control theory to drive a virtual player (VP) to play the mirror game with a human player (HP) in different configurations...
March 7, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28287992/spanner-a-self-repairing-spiking-neural-network-hardware-architecture
#14
Junxiu Liu, Jim Harkin, Liam P Maguire, Liam J McDaid, John J Wade
Recent research has shown that a glial cell of astrocyte underpins a self-repair mechanism in the human brain, where spiking neurons provide direct and indirect feedbacks to presynaptic terminals. These feedbacks modulate the synaptic transmission probability of release (PR). When synaptic faults occur, the neuron becomes silent or near silent due to the low PR of synapses; whereby the PRs of remaining healthy synapses are then increased by the indirect feedback from the astrocyte cell. In this paper, a novel hardware architecture of Self-rePAiring spiking Neural NEtwoRk (SPANNER) is proposed, which mimics this self-repairing capability in the human brain...
March 6, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28249158/ultrastructural-characterization-of-zika-virus-replication-factories
#15
Mirko Cortese, Sarah Goellner, Eliana Gisela Acosta, Christopher John Neufeldt, Olga Oleksiuk, Marko Lampe, Uta Haselmann, Charlotta Funaya, Nicole Schieber, Paolo Ronchi, Martin Schorb, Priit Pruunsild, Yannick Schwab, Laurent Chatel-Chaix, Alessia Ruggieri, Ralf Bartenschlager
A global concern has emerged with the pandemic spread of Zika virus (ZIKV) infections that can cause severe neurological symptoms in adults and newborns. ZIKV is a positive-strand RNA virus replicating in virus-induced membranous replication factories (RFs). Here we used various imaging techniques to investigate the ultrastructural details of ZIKV RFs and their relationship with host cell organelles. Analyses of human hepatic cells and neural progenitor cells infected with ZIKV revealed endoplasmic reticulum (ER) membrane invaginations containing pore-like openings toward the cytosol, reminiscent to RFs in Dengue virus-infected cells...
February 28, 2017: Cell Reports
https://www.readbyqxmd.com/read/28243761/neural-pathways-subserving-face-based-mentalizing
#16
Yordanka Nikolova Yordanova, Hugues Duffau, Guillaume Herbet
Over the past few years, considerable progress has been done in clarifying the neural networks underlying mentalizing. However, although the cortical architecture of this function is relatively well understood, the white matter pathways that may be involved in conveying neural signals within the mentalizing network remain to be elucidated. To gain insight into this matter, a detailed stimulation mapping of face-based mentalizing was performed in 27 patients undergoing awake surgery for a right-sided diffuse low-grade glioma (DLGG)...
February 27, 2017: Brain Structure & Function
https://www.readbyqxmd.com/read/28242315/individual-differences-and-time-varying-features-of-modular-brain-architecture
#17
Xuhong Liao, Miao Cao, Mingrui Xia, Yong He
Recent studies have suggested that human brain functional networks are topologically organized into functionally specialized but inter-connected modules to facilitate efficient information processing and highly flexible cognitive function. However, these studies have mainly focused on group-level network modularity analyses using "static" functional connectivity approaches. How these extraordinary modular brain structures vary across individuals and spontaneously reconfigure over time remain largely unknown...
February 24, 2017: NeuroImage
https://www.readbyqxmd.com/read/28236965/ror-family-receptor-tyrosine-kinases
#18
Sigmar Stricker, Verena Rauschenberger, Alexandra Schambony
ROR-family receptor tyrosine kinases form a small subfamily of receptor tyrosine kinases (RTKs), characterized by a conserved, unique domain architecture. ROR RTKs are evolutionary conserved throughout the animal kingdom and act as alternative receptors and coreceptors of WNT ligands. The intracellular signaling cascades activated downstream of ROR receptors are diverse, including but not limited to ROR-Frizzled-mediated activation of planar cell polarity signaling, RTK-like signaling, and antagonistic regulation of WNT/β-Catenin signaling...
2017: Current Topics in Developmental Biology
https://www.readbyqxmd.com/read/28218920/a-non-volatile-organic-electrochemical-device-as-a-low-voltage-artificial-synapse-for-neuromorphic-computing
#19
Yoeri van de Burgt, Ewout Lubberman, Elliot J Fuller, Scott T Keene, Grégorio C Faria, Sapan Agarwal, Matthew J Marinella, A Alec Talin, Alberto Salleo
The brain is capable of massively parallel information processing while consuming only ∼1-100 fJ per synaptic event. Inspired by the efficiency of the brain, CMOS-based neural architectures and memristors are being developed for pattern recognition and machine learning. However, the volatility, design complexity and high supply voltages for CMOS architectures, and the stochastic and energy-costly switching of memristors complicate the path to achieve the interconnectivity, information density, and energy efficiency of the brain using either approach...
February 20, 2017: Nature Materials
https://www.readbyqxmd.com/read/28212113/age-and-gender-dependency-of-physiological-networks-in-sleep
#20
Dagmar Krefting, Christoph Jansen, Thomas Penzel, Fang Han, Jan Kantelhardt
Recently, time delay stability analysis of biosignals has been successfully applied as a multivariate time series analysis method to assess the human physiological network in young adults. The degree of connectivity between different network nodes is described by the so-called link strength. Based on polysomnographic recordings (PSGs), it could be shown that the network changes with the sleep stage. Here, we apply the method to a large set of healthy controls spanning six decades of age. As it is well known, that the overall sleep architecture is dependent both on age and on gender, we particularly address the question, if these changes are also found in the network dynamics...
February 17, 2017: Physiological Measurement
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