On the Role of Astroglial Syncytia in Self-Repairing Spiking Neural Networks

IEEE Transactions on Neural Networks and Learning Systems

Volumn 26, Issue 10, 2015, Pages 2370-2380

  Naeem, Muhammad ^a,b   McDaid, Liam J ^a   Harkin, Jim ^a   Wade, John J ^a   Marsland, John ^c  

^a UNIVERSITY OF ULSTER   (United Kingdom)

^b UNIVERSITY OF WARWICK   (United Kingdom)

^c UNIVERSITY OF LIVERPOOL   (United Kingdom)

Author keywords

and Munro (BCM); Astrocytes; Bienenstock; Cooper; fault tolerance; neuron models; probability of release (PR); self repair; spike timing dependent plasticity (STDP)

Indexed keywords

FAULT TOLERANCE; NEURAL NETWORKS; REPAIR;

AND MUNRO (BCM); ASTROCYTES; BIENENSTOCK; COOPER; NEURON MODEL; SELF REPAIR; SPIKE TIMING DEPENDENT PLASTICITIES;

NEURONS;

ACTION POTENTIAL; ARTIFICIAL NEURAL NETWORK; ASTROCYTE; BIOLOGICAL MODEL; HUMAN; NERVE CELL; NERVE CELL NETWORK; PHYSIOLOGY; SYNAPSE;

ACTION POTENTIALS; ASTROCYTES; HUMANS; MODELS, NEUROLOGICAL; NERVE NET; NEURAL NETWORKS (COMPUTER); NEURONS; SYNAPSES;

EID: 84943773852     PISSN: 2162237X     EISSN: 21622388     Source Type: Journal    
DOI: 10.1109/TNNLS.2014.2382334     Document Type: Article

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