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Computational properties of multi-compartment LIF neurons with passive dendrites
Author(s) -
Andreas Stöckel,
Chris Eliasmith
Publication year - 2022
Publication title -
neuromorphic computing and engineering
Language(s) - English
Resource type - Journals
ISSN - 2634-4386
DOI - 10.1088/2634-4386/ac724c
Subject(s) - neuromorphic engineering , computer science , context (archaeology) , artificial neural network , universality (dynamical systems) , layer (electronics) , spiking neural network , topology (electrical circuits) , computation , neuron , neuroscience , algorithm , artificial intelligence , physics , mathematics , materials science , nanotechnology , biology , paleontology , quantum mechanics , combinatorics

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