• DocumentCode
    3500956
  • Title

    Exploring retrograde signaling via astrocytes as a mechanism for self repair

  • Author

    Wade, John J. ; McDaid, Liam J. ; Harkin, Jim ; Crunelli, Vincenzo ; Kelso, J. A Scott ; Beiu, Valeriu

  • Author_Institution
    Intell. Syst. Res. Center, Univ. of Ulster, Derry, UK
  • fYear
    2011
  • fDate
    July 31 2011-Aug. 5 2011
  • Firstpage
    3149
  • Lastpage
    3155
  • Abstract
    Recent work has shown that astrocytes are capable of bidirectional communication with neurons which leads to modulation of synaptic activity. Moreover, indirect signaling pathways of retrograde messengers such as endocannabinoids lead to modulation of synaptic transmission probability. In this paper we hypothesize that this signaling underpins fault tolerance in the brain. In particular, faults manifest themselves in silent or near silent neurons, which is caused by low transmission probability synapses, and the enhancement of the transmission probability of a “faulty” synapse by indirect retrograde feedback is the repair mechanism. Furthermore, based on recent findings we present a model of self repair at the synaptic level, where retrograde signaling via astrocytes increases the probability of neurotransmitter release at damaged or low transmission probability synapses. Although our model is still at the embryo stage, results presented are encouraging and highlight a new research direction on brain-like self repair.
  • Keywords
    brain; fault tolerant computing; neural nets; probability; astrocytes; brain fault tolerance; brain-like self repair; embryo stage; endocannabinoid; fault tolerant computing; faulty synapse; indirect retrograde feedback; indirect signaling; low transmission probability synapses; near silent neurons; neuron bidirectional communication; neurotransmitter release; retrograde messenger; retrograde signaling; self repair mechanism; synaptic activity modulation; synaptic transmission probability modulation; Education; Erbium; Lead; Maintenance engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks (IJCNN), The 2011 International Joint Conference on
  • Conference_Location
    San Jose, CA
  • ISSN
    2161-4393
  • Print_ISBN
    978-1-4244-9635-8
  • Type

    conf

  • DOI
    10.1109/IJCNN.2011.6033638
  • Filename
    6033638