Charles Bonnet Syndrome: Evidence for a Generative Model in the Cortex?

PLoS Computational Biology

Volumn 9, Issue 7, 2013, Pages

  Reichert, David P ^a,b   Seriès, Peggy ^a   Storkey, Amos J ^a  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

^b BROWN UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONCRETES; ELECTRIC CIRCUIT BREAKERS; LEARNING SYSTEMS; NEURAL NETWORKS; SEMANTICS;

CHARLES BONNET; CONDITION; CORTEXES; DEEP BOLTZMANN MACHINES; GENERATIVE MODEL; INTERNAL MODELS; LEARN+; MACHINE-LEARNING; SENSORY DATA; VISUAL REPRESENTATIONS;

COMPUTATION THEORY;

ACETYLCHOLINE;

ARTICLE; BRAIN CORTEX; BRAIN FUNCTION; BRAIN NERVE CELL; CELL FUNCTION; CHARLES BONNET SYNDROME; CLINICAL FEATURE; DEEP BOLTZMANN MACHINE; DISEASE MODEL; FEEDBACK SYSTEM; HALLUCINATION; HOMEOSTASIS; HUMAN; MACHINE LEARNING; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; NERVE CELL NETWORK; NERVE CELL PLASTICITY; NERVE CELL STIMULATION; NERVE CONDUCTION; NEUROMODULATION; POSITIVE FEEDBACK; SEMANTICS; SENSORY STIMULATION; VISION; VISUAL HALLUCINATION;

EID: 84880806806     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1003134     Document Type: Article

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