Stochastic phase-change neurons

Nature Nanotechnology

Volumn 11, Issue 8, 2016, Pages 693-699

  Tuma, Tomas ^a   Pantazi, Angeliki ^a   Le Gallo, Manuel ^a,b   Sebastian, Abu ^a   Eleftheriou, Evangelos ^a  

^a IBM RESEARCH ZURICH   (Switzerland)

^b ETH ZURICH   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

CORRELATION DETECTORS; CRYSTAL ATOMIC STRUCTURE; MEMRISTORS; NANOTECHNOLOGY; NEURONS; POPULATION STATISTICS; STOCHASTIC SYSTEMS;

COMPUTATIONAL SYSTEM; CRYSTAL PHASE TRANSITION; NEUROMORPHIC SYSTEMS; PHASE CONFIGURATIONS; POPULATIONS OF SPIKING NEURONS; POST-SYNAPTIC POTENTIALS; TEMPORAL CORRELATIONS; TEMPORAL INTEGRATION;

PHASE CHANGE MATERIALS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CELL STRUCTURE; CRYSTAL; HUMAN; MATHEMATICAL COMPUTING; MEMBRANE POTENTIAL; NANOTECHNOLOGY; NERVE CELL; NERVE CELL MEMBRANE; NEUROANATOMY; PHASE TRANSITION; PHYSICS; POSTSYNAPTIC POTENTIAL; PRIORITY JOURNAL; SPIKE WAVE; STOCHASTIC MODEL; ACTION POTENTIAL; BIOLOGICAL MODEL; BRAIN; MARKOV CHAIN; METABOLISM; PHYSIOLOGY; PROCEDURES;

CHALCOGEN;

ACTION POTENTIALS; BRAIN; CHALCOGENS; HUMANS; MEMBRANE POTENTIALS; MODELS, NEUROLOGICAL; NANOTECHNOLOGY; NEURONS; STOCHASTIC PROCESSES;

EID: 84968662217     PISSN: 17483387     EISSN: 17483395     Source Type: Journal    
DOI: 10.1038/nnano.2016.70     Document Type: Article

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