Consistent recovery of sensory stimuli encoded with MIMO neural circuits

Computational Intelligence and Neuroscience

Volumn 2010, Issue , 2010, Pages

  Lazar, Aurel A ^a   Pnevmatikakis, Eftychios A ^a  

^a Fu Foundation School of Engineering and Applied Science   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONSISTENCY CONDITIONS; FINITE ENERGY; INTEGRATE-AND-FIRE NEURONS; MULTI-INPUT MULTI-OUTPUT; NEURAL CIRCUITS; NEURAL POPULATIONS; NEUROMORPHIC ENGINEERING; OPTIMALITY CRITERIA; POTENTIAL APPLICATIONS; RECONSTRUCTION ALGORITHMS; SENSORY STIMULUS; SPIKE TRAIN; SPLINE INTERPOLATION; VECTOR VALUED;

INTERPOLATION; NEURONS; RECOVERY;

REPAIR;

ACTION POTENTIAL; ALGORITHM; ANIMAL; ARTICLE; BIOLOGICAL MODEL; ELECTROPHYSIOLOGY; HUMAN; NERVE CELL; NERVE CELL NETWORK; PHYSIOLOGY;

ACTION POTENTIALS; ALGORITHMS; ANIMALS; ELECTROPHYSIOLOGY; HUMANS; MODELS, NEUROLOGICAL; NERVE NET; NEURONS;

EID: 77449122547     PISSN: 16875265     EISSN: 16875273     Source Type: Journal    
DOI: 10.1155/2010/469658     Document Type: Article

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