A Feedback Model of Attention Explains the Diverse Effects of Attention on Neural Firing Rates and Receptive Field Structure

PLoS Computational Biology

Volumn 12, Issue 2, 2016, Pages

  Miconi, Thomas ^a,b   VanRullen, Rufin ^a  

^a Brain and Cognition Research Center in Toulouse   (France)

^b NEUROSCIENCES INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BEHAVIORAL RESEARCH;

FEATURE SPACE; FEEDBACK CONNECTION; FIELD STRUCTURES; FIRING RATES; LATERAL INHIBITION; MODELS OF ATTENTION; NEURAL RESPONSE; RECEPTIVE FIELD SIZES; RECEPTIVE FIELDS; TOPDOWN;

MODULATION;

ATTENTION; COMPETITION; FIRING RATE; MODEL; MODULATION; NERVE POTENTIAL; NERVOUS SYSTEM; PREDICTION; RECEPTIVE FIELD; BIOLOGICAL MODEL; BIOLOGY; CYTOLOGY; NERVE CELL; PHYSIOLOGY; SENSORY FEEDBACK; VISUAL CORTEX;

ATTENTION; COMPUTATIONAL BIOLOGY; FEEDBACK, SENSORY; MODELS, NEUROLOGICAL; NEURONS; VISUAL CORTEX;

EID: 84959531209     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1004770     Document Type: Article

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