Neuronal inputs and outputs of aging and longevity

Alcedo, Joy; Flatt, Thomas; Pasyukova, Elena G.
May 2013
Frontiers in Genetics;May2013, Vol. 3, p1
Academic Journal
No abstract available.


Related Articles

  • THE NEURON ROBOTICS DyIO CONTROLLER. Norris, Steve // Robot;Sep/Oct2012, Issue 36, p56 

    The article evaluates the Neuron Robotics Dynamic Input/Output (DyIO) robot controller from Neuron Robotics.

  • The timing game. Abbott, L. F. // Nature Neuroscience;Feb2001, Vol. 4 Issue 2, p115 

    Features a proposal of a mechanism for the detecting groups of neurons receiving similar levels of sensory input. Characteristics of individual model neurons; Selective response of output neurons to input representing the word 'one' even if spoken at different speakers; Generation of temporal...

  • Turning 80 and some thoughts about aging. SPITZENBERGER, RAY // East Bernard Express (TX);6/26/2014, Vol. 71 Issue 26, p4 

    The article argues on aging and longevity.

  • From the editors.  // Nature Reviews Neuroscience;Oct2007, Vol. 8 Issue 10, p733 

    The article reports on basic functions of neurons with emphasis on its biochemistry. Neurons are responsible for a variety of functions which include the management of multitude of inputs as a prelude to sending an overall output to the axonal terminal. Likewise, neurons can be divided into...

  • Neurogenesis directed by Sirt1. Libert, Sergiy; Cohen, Dena; Guarente, Leonard // Nature Cell Biology;Apr2008, Vol. 10 Issue 4, p373 

    Differentiation of neuronal stem cells into astrocytes or neurons is important in maintaining brain function. Oxidative stress and inflammation are now shown to bias differentiation toward astrocytes by modulating activity of the anti-ageing gene Sirt1. These findings link a longevity gene to...

  • FUZZY GRAPHS IN FUZZY NEURAL NETWORKS. SAMEENA, K.; SUNITHA, M. S. // Proyecciones - Journal of Mathematics;2009, Vol. 28 Issue 3, p239 

    In this paper we observe that, the fuzzy neural network architecture is isomorphic to the fuzzy graph model and the output of a fuzzy neural network with OR fuzzy neuron is equal to the strength of strongest path between the input layer (particular input neuron/neurons) and the out put...

  • Predicting the synaptic information efficacy in cortical layer 5 pyramidal neurons using a minimal integrate-and-fire model. London, Michael; Larkum, Matthew E.; Häusser, Michael // Biological Cybernetics;Nov2008, Vol. 99 Issue 4/5, p393 

    Synaptic information efficacy (SIE) is a statistical measure to quantify the efficacy of a synapse. It measures how much information is gained, on the average, about the output spike train of a postsynaptic neuron if the input spike train is known. It is a particularly appropriate measure for...

  • Gamma oscillations as a mechanism for selective information transmission. Gielen, Stan; Krupa, Martin; Zeitler, Magteld // Biological Cybernetics;Aug2010, Vol. 103 Issue 2, p151 

    In the past decades, many studies have focussed on the relation between the input and output of neurons with the aim to understand information processing by neurons. A particular aspect of neuronal information, which has not received much attention so far, concerns the problem of information...

  • Bergmann Glia and the Recognition Molecule CHL1 Organize GABAergic Axons and Direct Innervation of Purkinje Cell Dendrites. Ango, Fabrice; Caizhi Wu; Van der Want, Johannes J.; Priscilla Wu; Schachner, Melitta; Huang, Josh Z. // PLoS Biology;Apr2008, Vol. 6 Issue 4, pe103 

    Subcellular synapse organization regulates the input, integration, and output of target neurons. An astroglial scaffold and an L1 family cell adhesion molecule contribute to dendritic innervation by GABA inhibitory synapses.

  • Viral-genetic tracing of the input-output organization of a central noradrenaline circuit. Schwarz, Lindsay A.; Miyamichi, Kazunari; Gao, Xiaojing J.; Beier, Kevin T.; Weissbourd, Brandon; DeLoach, Katherine E.; Ren, Jing; Ibanes, Sandy; Malenka, Robert C.; Kremer, Eric J.; Luo, Liqun // Nature;8/6/2015, Vol. 524 Issue 7563, p88 

    Deciphering how neural circuits are anatomically organized with regard to input and output is instrumental in understanding how the brain processes information. For example, locus coeruleus noradrenaline (also known as norepinephrine) (LC-NE) neurons receive input from and send output to broad...


Read the Article


Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics