Network properties of a computational model of the dorsal raphe nucleus

Neural Networks

Volumn 32, Issue , 2012, Pages 15-25

  Wong Lin, KongFatt ^a   Joshi, Alok ^a   Prasad, Girijesh ^a   McGinnity, T Martin ^a  

^a UNIVERSITY OF ULSTER   (United Kingdom)

Author keywords

Inhibitory fast spiking non serotonergic neurons; Reward based memory guided decision task; Serotonin neurons; Spiking neuronal network model; Theta rhythm

Indexed keywords

AFTERHYPERPOLARIZATION; CO-EXISTENCE; COMPUTATIONAL MODEL; DECISION TASK; FAST SPIKING; FEED-FORWARD; INTEGRATE AND FIRES; LOW FREQUENCY; MIDBRAIN; MODEL PREDICTION; MULTISCALE MODELS; NETWORK MODELS; NETWORK PROPERTIES; NEUROMODULATION; NEURONAL ACTIVITIES; NEURONAL MODEL; NEURONAL NETWORKS; PRIMARY SOURCES; STABLE FREQUENCIES; SYNAPTIC STRENGTHS; THETA RHYTHMS;

COMPUTER SIMULATION; EXPERIMENTS; NETWORK ARCHITECTURE; SIGNAL ENCODING;

NEURAL NETWORKS;

ACCURACY; AFTERHYPERPOLARIZATION; ANIMAL EXPERIMENT; ARTICLE; CONTROLLED STUDY; DECISION MAKING; DORSAL RAPHE NUCLEUS; FREQUENCY MODULATION; HAPLORHINI; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; NERVE CELL NETWORK; NEUROFEEDBACK; NEUROMODULATION; NONHUMAN; OSCILLATION; PREDICTION; PRIORITY JOURNAL; RESPONSE TIME; REWARD; SACCADIC EYE MOVEMENT; SENSITIVITY AND SPECIFICITY; SEROTONINERGIC TRANSMISSION; SIGNAL NOISE RATIO; SIMULATION; SYNAPTIC TRANSMISSION; TASK PERFORMANCE; THETA RHYTHM;

ALGORITHMS; ANIMALS; BEHAVIOR; COMPUTER SIMULATION; CONDITIONING, OPERANT; HAPLORHINI; MODELS, NEUROLOGICAL; NEURAL NETWORKS (COMPUTER); NEURONS; NEURONS, AFFERENT; PSYCHOMOTOR PERFORMANCE; RAPHE NUCLEI; RATS; REWARD; SACCADES; SEROTONIN; SYNAPSES; THETA RHYTHM;

EID: 84861789950     PISSN: 08936080     EISSN: 18792782     Source Type: Journal    
DOI: 10.1016/j.neunet.2012.02.009     Document Type: Article

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