A hierarchical neuronal model for generation and online recognition of birdsongs

PLoS Computational Biology

Volumn 7, Issue 12, 2011, Pages

  Yildiz, Izzet B ^a   Kiebel, Stefan J ^a  

^a MAX PLANCK INSTITUTE FOR HUMAN COGNITIVE AND BRAIN SCIENCES   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; DYNAMICAL SYSTEMS; HIERARCHICAL SYSTEMS; INFERENCE ENGINES; NEURONS;

BAYESIAN INFERENCE; FUNCTIONAL MODELLING; HIERARCHICAL MODEL; NEURONAL MODELING; NEURONAL SYSTEMS; ON-LINE RECOGNITION; POSSIBLE MECHANISMS; RATE MODELS; RESPIRATORY ORGANS; ROBUST NUCLEUS;

BIRDS;

ACTION POTENTIAL; AMPLITUDE MODULATION; ANIMAL COMMUNICATION; ANIMAL EXPERIMENT; ANIMAL STRUCTURES; ARTICLE; ASSOCIATIVE MEMORY; BAYESIAN LEARNING; BIOLOGICAL MODEL; CONTROLLED STUDY; DORSOMEDIAL HYPOTHALAMIC NUCLEUS; HIERARCHICAL NEURONAL MODEL; INNERVATION; MEMBRANE POTENTIAL; MOTONEURON; NERVE CELL NETWORK; NONHUMAN; ONLINE ANALYSIS; OSCILLATION; PREMOTOR ARCOPALLIUM ROBUST NUCLEUS; PREMOTOR CORTEX; PREMOTOR SONG CONTROL NUCLEUS; SENSORY STIMULATION; SONGBIRD; SOUND RELATED PHENOMENA; SOUND WAVE; SPEECH DISCRIMINATION; ANIMAL; BAYES THEOREM; COMPUTER SIMULATION; LEARNING; NERVE CELL; NERVE TRACT; PHYSIOLOGY; VOCALIZATION;

AVES;

ANIMALS; ASSOCIATION LEARNING; BAYES THEOREM; COMPUTER SIMULATION; MODELS, NEUROLOGICAL; NEURAL PATHWAYS; NEURONS; SONGBIRDS; VOCALIZATION, ANIMAL;

EID: 84855258488     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1002303     Document Type: Article

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