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
Link To Document :
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