Novel Spiking Neuron-Astrocyte Networks based on nonlinear transistor-like models of tripartite synapses

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2013, Pages 6559-6562

  Valenza, Gaetano ^a   Tedesco, Luciano ^b   Lanata, Antonio ^a   De Rossi, Danilo ^a   Scilingo, Enzo Pasquale ^a  

^a Research Center E Piaggio   (Italy)

^b UNIVERSITY OF PISA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICALLY INSPIRED; CO-EXISTING; COMPUTATIONAL IMPLEMENTATIONS; LEARNING RULES; POLYCHRONIZATION; SPIKE-TIMING-DEPENDENT PLASTICITY; SPIKING NEURAL NETWORK(SNN);

NEURAL NETWORKS;

NEURONS;

ACTION POTENTIAL; ASTROCYTE; BIOLOGICAL MODEL; COMPUTER SIMULATION; HUMAN; NERVE CELL; NERVE CELL NETWORK; PHYSIOLOGY; SYNAPSE; SYNAPTIC TRANSMISSION;

ACTION POTENTIALS; ASTROCYTES; COMPUTER SIMULATION; HUMANS; MODELS, NEUROLOGICAL; NERVE NET; NEURONS; SYNAPSES; SYNAPTIC TRANSMISSION;

EID: 84886515776     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2013.6611058     Document Type: Conference Paper

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