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https://www.readbyqxmd.com/read/28730695/concurrent-electrical-cervicomedullary-stimulation-and-cervical-transcutaneous-spinal-direct-current-stimulation-results-in-a-stimulus-interaction
#1
Siobhan C Dongés, Siwei Bai, Janet L Taylor
Transcutaneous spinal direct current stimulation (tsDCS) can modulate neuronal excitability within the human spinal cord; however few studies have used tsDCS at a cervical level. This study aimed to further characterise cervical tsDCS by observing its acute effects on motor responses to transcranial magnetic stimulation (TMS) and cervicomedullary stimulation. In both Study 1 and 2, participants (Study 1: n = 8, 4F; Study 2: n = 8, 3F) received two periods of 10 min, 3 mA cervical tsDCS on the same day through electrodes placed in an anterior-posterior configuration over the neck; one period with the cathode posterior (c-tsDCS) and the other with the anode posterior (a-tsDCS)...
July 20, 2017: Experimental Physiology
https://www.readbyqxmd.com/read/28724745/seq-identifies-circulating-mir-125a-5p-mir-125b-5p-and-mir-143-3p-as-potential-biomarkers-for-acute-ischemic-stroke
#2
Steffen Tiedt, Matthias Prestel, Rainer Malik, Nicola Schieferdecker, Marco Düring, Veronika Kautzky, Ivelina Stoycheva, Julia Böck, Bernd H Northoff, Matthias Klein, Franziska Dorn, Knut Krohn, Daniel Teupser, Arthur Liesz, Nikolaus Plesnila, Lesca M Holdt, Martin Dichgans
Rationale: Currently, there are no blood-based biomarkers with clinical utility for acute ischemic stroke (IS). microRNAs (miRNAs) show promise as disease markers due to their cell-type specific expression patterns and stability in peripheral blood. Objective: To identify circulating miRNAs associated with acute IS, determine their temporal course up to 90 days post-stroke, and explore their utility as an early diagnostic marker. Methods and Results: We used RNA sequencing to study expression changes of circulating miRNAs in a discovery sample of 20 IS patients and 20 matched healthy control subjects (HCs)...
July 19, 2017: Circulation Research
https://www.readbyqxmd.com/read/28722651/ephrin-a-epha-specific-co-adaptation-as-a-novel-mechanism-in-topographic-axon-guidance
#3
Felix Fiederling, Markus Weschenfelder, Martin Fritz, Anne von Philipsborn, Martin Bastmeyer, Franco Weth
Genetic hardwiring during brain development provides computational architectures for innate neuronal processing. Thus, the paradigmatic chick retinotectal projection, due to its neighborhood preserving, topographic organization, establishes millions of parallel channels for incremental visual field analysis. Retinal axons receive targeting information from quantitative guidance cue gradients. Surprisingly, novel adaptation assays demonstrate that retinal growth cones robustly adapt towards ephrin-A/EphA forward and reverse signals, which provide the major mapping cues...
July 19, 2017: ELife
https://www.readbyqxmd.com/read/28720508/to-swim-or-not-to-swim-a-population-level-model-of-xenopus-tadpole-decision-making-and-locomotor-behaviour
#4
Roman Borisyuk, Robert Merrison-Hort, Steve R Soffe, Stella Koutsikou, Wen-Chang Li
We present a detailed computational model of interacting neuronal populations that mimic the hatchling Xenopus tadpole nervous system. The model includes four sensory pathways, integrators of sensory information, and a central pattern generator (CPG) network. Sensory pathways of different modalities receive inputs from an "environment"; these inputs are then processed and integrated to select the most appropriate locomotor action. The CPG populations execute the selected action, generating output in motor neuron populations...
July 15, 2017: Bio Systems
https://www.readbyqxmd.com/read/28719603/the-%C3%A2-100-lab-a-3d-printable-open-source-platform-for-fluorescence-microscopy-optogenetics-and-accurate-temperature-control-during-behaviour-of-zebrafish-drosophila-and-caenorhabditis-elegans
#5
Andre Maia Chagas, Lucia L Prieto-Godino, Aristides B Arrenberg, Tom Baden
Small, genetically tractable species such as larval zebrafish, Drosophila, or Caenorhabditis elegans have become key model organisms in modern neuroscience. In addition to their low maintenance costs and easy sharing of strains across labs, one key appeal is the possibility to monitor single or groups of animals in a behavioural arena while controlling the activity of select neurons using optogenetic or thermogenetic tools. However, the purchase of a commercial solution for these types of experiments, including an appropriate camera system as well as a controlled behavioural arena, can be costly...
July 2017: PLoS Biology
https://www.readbyqxmd.com/read/28712640/resident-calmodulin-primes-nmda-receptors-for-ca-2-dependent-inactivation
#6
Gary J Iacobucci, Gabriela K Popescu
N-methyl-d-aspartate (NMDA) receptors are glutamate- and glycine-gated channels that flux Na(+) and Ca(2+) into postsynaptic neurons during synaptic transmission. The resulting intracellular Ca(2+) transient is essential to physiological and pathological processes related to synaptic development, plasticity, and apoptosis. It also engages calmodulin (CaM) to reduce subsequent NMDA receptor activity in a process known as Ca(2+)-dependent inactivation (CDI). Here, we used whole-cell electrophysiology to measure CDI and computational modeling to dissect the sequence of events that underlies it...
July 14, 2017: Biophysical Journal
https://www.readbyqxmd.com/read/28709222/population-density-equations-for-stochastic-processes-with-memory-kernels
#7
Yi Ming Lai, Marc de Kamps
We present a method for solving population density equations (PDEs)--a mean-field technique describing homogeneous populations of uncoupled neurons-where the populations can be subject to non-Markov noise for arbitrary distributions of jump sizes. The method combines recent developments in two different disciplines that traditionally have had limited interaction: computational neuroscience and the theory of random networks. The method uses a geometric binning scheme, based on the method of characteristics, to capture the deterministic neurodynamics of the population, separating the deterministic and stochastic process cleanly...
June 2017: Physical Review. E
https://www.readbyqxmd.com/read/28707628/brainframe-a-node-level-heterogeneous-accelerator-platform-for-neuron-simulations
#8
Georgios Smaragdos, Georgios Chatzikonstantis, Rahul Kukreja, Harry Sidiropoulos, Dimitrios Rodopoulos, Ioannis Sourdis, Zaid Al-Ars, Christoforos Kachris, Dimitrios Soudris, Chris de Zeeuw, Christos Strydis
OBJECTIVE: The advent of High-Performance Computing (HPC) in recent years has led to its increasing use in brain study through computational models. The scale and complexity of such models are constantly increasing, leading to challenging computational requirements. Even though modern HPC platforms can often deal with such challenges, the vast diversity of the modeling field does not permit for a homogeneous acceleration platform to effectively address the complete array of modeling requirements...
July 14, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28707599/designing-of-selective-%C3%AE-secretase-inhibitory-benzenesulfonamides-through-comparative-in-vitro-and-in-silico-analysis
#9
Neeraj Masand, Satya P Gupta, Ratan Lal Khosa
BACKGROUND: In Alzheimer's disease (AD), the gene mutations have been identified in the amyloid precursor protein (APP), the presenilin-1 (PS1) and -2 (PS2) genes. APP is a transmembrane protein which gets cleaved by α- and β-secretase enzymes and releases Aβ peptides which forms senile plaques in brain tissue. It contributes for local inflammatory response, subsequent oxidative stress, biochemical changes and neuronal death. Targeting the development of Aβ aggregates in the senile plaques is an important strategy in the treatment of AD...
July 13, 2017: Current Drug Discovery Technologies
https://www.readbyqxmd.com/read/28705695/modeling-extracellular-fields-for-a-three-dimensional-network-of-cells-using-neuron
#10
Shailesh Appukuttan, Keith L Brain, Rohit Manchanda
BACKGROUND: Computational modeling of biological cells usually ignores their extracellular fields, assuming them to be inconsequential. Though such an assumption might be justified in certain cases, it is debatable for networks of tightly packed cells, such as in the central nervous system and the syncytial tissues of cardiac and smooth muscle. NEW METHOD: In the present work, we demonstrate a technique to couple the extracellular fields of individual cells within the NEURON simulation environment...
July 10, 2017: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/28704450/a-consensus-layer-v-pyramidal-neuron-can-sustain-interpulse-interval-coding
#11
Chandan Singh, William B Levy
In terms of a single neuron's long-distance communication, interpulse intervals (IPIs) are an attractive alternative to rate and binary codes. As a proxy for an IPI, a neuron's time-to-spike can be found in the biophysical and experimental intracellular literature. Using the current, consensus layer V pyramidal neuron, the present study examines the feasibility of IPI-coding and examines the noise sources that limit the information rate of such an encoding. In descending order of importance, the noise sources are (i) synaptic variability, (ii) sodium channel shot-noise, followed by (iii) thermal noise...
2017: PloS One
https://www.readbyqxmd.com/read/28704206/an-autonomous-robot-inspired-by-insect-neurophysiology-pursues-moving-features-in-natural-environments
#12
Zahra M Bagheri, Benjamin S Cazzolato, Steven Grainger, David C O'Carroll, Steven D Wiederman
OBJECTIVE: Many computer vision and robotic applications require the implementation of robust and efficient target-tracking algorithms on a moving platform. However, deployment of a real-time system is challenging, even with the computational power of modern hardware. Lightweight and low-powered flying insects, such as dragonflies, track prey or conspecifics within cluttered natural environments, illustrating an efficient biological solution to the target-tracking problem. APPROACH: We used our recent recordings from 'small target motion detector' neurons in the dragonfly brain to inspire the development of a closed-loop target detection and tracking algorithm...
July 13, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28701946/the-nest-dry-run-mode-efficient-dynamic-analysis-of-neuronal-network-simulation-code
#13
Susanne Kunkel, Wolfram Schenck
NEST is a simulator for spiking neuronal networks that commits to a general purpose approach: It allows for high flexibility in the design of network models, and its applications range from small-scale simulations on laptops to brain-scale simulations on supercomputers. Hence, developers need to test their code for various use cases and ensure that changes to code do not impair scalability. However, running a full set of benchmarks on a supercomputer takes up precious compute-time resources and can entail long queuing times...
2017: Frontiers in Neuroinformatics
https://www.readbyqxmd.com/read/28698888/modulation-of-complex-spike-duration-and-probability-during-cerebellar-motor-learning-in-visually-guided-smooth-pursuit-eye-movements-of-monkeys
#14
Yan Yang, Stephen G Lisberger
Activation of an inferior olivary neuron powerfully excites Purkinje cells via its climbing fiber input and triggers a characteristic high-frequency burst, known as the complex spike (CS). The theory of cerebellar learning postulates that the CS induces long-lasting depression of the strength of synapses from active parallel fibers onto Purkinje cells, and that synaptic depression leads to changes in behavior. Prior reports showed that a CS on one learning trial is linked to a properly timed depression of simple spikes on the subsequent trial, as well as a learned change in pursuit eye movement...
May 2017: ENeuro
https://www.readbyqxmd.com/read/28686137/using-a-large-scale-neural-model-of-cortical-object-processing-to-investigate-the-neural-substrate-for-managing-multiple-items-in-short-term-memory
#15
Qin Liu, Antonio Ulloa, Barry Horwitz
Many cognitive and computational models have been proposed to help understand working memory. In this article, we present a simulation study of cortical processing of visual objects during several working memory tasks using an extended version of a previously constructed large-scale neural model [Tagamets, M. A., & Horwitz, B. Integrating electrophysiological and anatomical experimental data to create a large-scale model that simulates a delayed match-to-sample human brain imaging study. Cerebral Cortex, 8, 310-320, 1998]...
July 7, 2017: Journal of Cognitive Neuroscience
https://www.readbyqxmd.com/read/28682262/cell-like-spiking-neural-p-systems-with-request-rules
#16
Linqiang Pan, Tingfang Wu, Yansen Su, Athanasios V Vasilakos
Cell-like spiking neural P systems (in short, cSN P systems) are a class of distributed and parallel computation models inspired by both the way in which neurons process information and communicate to each other by means of spikes and the compartmentalized structures of living cells. cSNP systems have been proved to be Turing universal if more spikes can be produced by consuming some spikes or spikes can be replicated. In this work, in order to answer the open problem whether this functioning of producing more spikes and replicating spikes can be avoided by using some strategy without the loss of computation power, we introduce cSN P systems with request rules, which have classical spiking rules and forgetting rules, and also request rules in the skin membrane...
July 3, 2017: IEEE Transactions on Nanobioscience
https://www.readbyqxmd.com/read/28681378/update-on-the-mechanisms-and-roles-of-high-frequency-oscillations-in-seizures-and-epileptic-disorders
#17
REVIEW
Premysl Jiruska, Catalina Alvarado-Rojas, Catherine A Schevon, Richard Staba, William Stacey, Fabrice Wendling, Massimo Avoli
High-frequency oscillations (HFOs) are a type of brain activity that is recorded from brain regions capable of generating seizures. Because of the close association of HFOs with epileptogenic tissue and ictogenesis, understanding their cellular and network mechanisms could provide valuable information about the organization of epileptogenic networks and how seizures emerge from the abnormal activity of these networks. In this review, we summarize the most recent advances in the field of HFOs and provide a critical evaluation of new observations within the context of already established knowledge...
July 6, 2017: Epilepsia
https://www.readbyqxmd.com/read/28680387/event-driven-random-back-propagation-enabling-neuromorphic-deep-learning-machines
#18
Emre O Neftci, Charles Augustine, Somnath Paul, Georgios Detorakis
An ongoing challenge in neuromorphic computing is to devise general and computationally efficient models of inference and learning which are compatible with the spatial and temporal constraints of the brain. One increasingly popular and successful approach is to take inspiration from inference and learning algorithms used in deep neural networks. However, the workhorse of deep learning, the gradient descent Gradient Back Propagation (BP) rule, often relies on the immediate availability of network-wide information stored with high-precision memory during learning, and precise operations that are difficult to realize in neuromorphic hardware...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28680119/increased-stability-and-breakdown-of-brain-effective-connectivity-during-slow-wave-sleep-mechanistic-insights-from-whole-brain-computational-modelling
#19
Beatrice M Jobst, Rikkert Hindriks, Helmut Laufs, Enzo Tagliazucchi, Gerald Hahn, Adrián Ponce-Alvarez, Angus B A Stevner, Morten L Kringelbach, Gustavo Deco
Recent research has found that the human sleep cycle is characterised by changes in spatiotemporal patterns of brain activity. Yet, we are still missing a mechanistic explanation of the local neuronal dynamics underlying these changes. We used whole-brain computational modelling to study the differences in global brain functional connectivity and synchrony of fMRI activity in healthy humans during wakefulness and slow-wave sleep. We applied a whole-brain model based on the normal form of a supercritical Hopf bifurcation and studied the dynamical changes when adapting the bifurcation parameter for all brain nodes to best match wakefulness and slow-wave sleep...
July 5, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28674699/long-term-deficits-in-cortical-circuit-function-after-asphyxial-cardiac-arrest-and-resuscitation-in-developing-rats
#20
Jason W Middleton, Daniel J Simons, Jennifer W Simmons, Robert S B Clark, Patrick M Kochanek, Michael Shoykhet
Cardiac arrest is a common cause of global hypoxic-ischemic brain injury. Poor neurologic outcome among cardiac arrest survivors results not only from direct cellular injury but also from subsequent long-term dysfunction of neuronal circuits. Here, we investigated the long-term impact of cardiac arrest during development on the function of cortical layer IV (L4) barrel circuits in the rat primary somatosensory cortex. We used multielectrode single-neuron recordings to examine responses of presumed excitatory L4 barrel neurons to controlled whisker stimuli in adult (8 ± 2-mo-old) rats that had undergone 9 min of asphyxial cardiac arrest and resuscitation during the third postnatal week...
May 2017: ENeuro
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