From sensors to spikes: Evolving receptive fields to enhance sensorimotor information in a robot-arm

International Journal of Neural Systems

Volumn 22, Issue 4, 2012, Pages

  Luque, Niceto R ^a   Garrido, Jesús A ^a   Ralli, Jarno ^a   Laredo, Juanlu J ^a   Ros, Eduardo ^a  

^a UNIVERSITY OF GRANADA   (Spain)

Author keywords

cuneate nucleus; evolutionary algorithm; parallelism; population coding; Receptive field; robot; spiking neural network

Indexed keywords

CUNEATE NUCLEUS; PARALLELISM; POPULATION CODING; RECEPTIVE FIELDS; SPIKING NEURAL NETWORKS;

ENCODING (SYMBOLS); EVOLUTIONARY ALGORITHMS; INTELLIGENT AGENTS; NEURAL NETWORKS; OPTIMIZATION; SENSORS;

ROBOTS;

ACTION POTENTIAL; ALGORITHM; ARM; ARTICLE; BIOLOGICAL MODEL; COMPUTER SIMULATION; CYTOLOGY; DISCRIMINANT ANALYSIS; EVOLUTION; HUMAN; INNERVATION; MECHANORECEPTOR; METHODOLOGY; MOVEMENT (PHYSIOLOGY); NERVE CELL NETWORK; NERVE FIBER; PHYSIOLOGY; ROBOTICS; SENSORY NERVE; SENSORY RECEPTOR; THALAMUS NUCLEUS;

ACTION POTENTIALS; AFFERENT PATHWAYS; ALGORITHMS; ARM; BIOLOGICAL EVOLUTION; COMPUTER SIMULATION; DISCRIMINANT ANALYSIS; HUMANS; MECHANORECEPTORS; MODELS, NEUROLOGICAL; MOVEMENT; NERVE FIBERS; NERVE NET; ROBOTICS; SENSORY RECEPTOR CELLS; THALAMIC NUCLEI;

EID: 84864367966     PISSN: 01290657     EISSN: None     Source Type: Journal    
DOI: 10.1142/S012906571250013X     Document Type: Article

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