Decoding spatiotemporal spike sequences via the finite state automata dynamics of spiking neural networks

New Journal of Physics

Volumn 10, Issue , 2008, Pages

  Jin, Dezhe Z ^a  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; AUTOMATA THEORY; CELLS; COMPUTER NETWORKS; DECODING; DYNAMICS; EQUIVALENCE CLASSES; MECHANICS; METROPOLITAN AREA NETWORKS; MILITARY OPERATIONS; NETWORK PROTOCOLS; NEURAL NETWORKS; NEURONS; ROBOTS; TRANSLATION (LANGUAGES);

ARBITRARY NUMBERS; BI STABLE; COMPLEX STIMULI; COMPUTATIONAL POWER; DOWNSTREAM NEURONS; FEED FORWARD (FF); FEEDFORWARD INHIBITION; FINITE STATE AUTOMATA (FSA); FINITE STATE AUTOMATON (FSA); LATERAL EXCITATION; MEMBRANE POTENTIALS; SENSORY AREAS; SENSORY NEURONS; SPIKE SEQUENCES; SPIKING NEURAL NETWORK (SNN); TRANSITION DYNAMICS; VARIATIONS OF;

FINITE AUTOMATA;

EID: 45749136792     PISSN: 13672630     EISSN: None     Source Type: Journal    
DOI: 10.1088/1367-2630/10/1/015010     Document Type: Article

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