Understanding and characterizing olfactory responses: A manifold learning approach based on optical recordings

IEEE Engineering in Medicine and Biology Magazine

Volumn 27, Issue 2, 2008, Pages 69-79

  Laskaris, Nikolaos ^a,e   Kosmidis, Efstratios ^b   Vučinić, Dejan ^c   Homma, Ryota ^d  

^a ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

^b 424 Army General Training Hospital

^c YALE UNIVERSITY   (United States)

^d YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^e ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; CLUSTER ANALYSIS; COMPARATIVE STUDY; EVENT RELATED POTENTIAL; HUMAN; LATENT PERIOD; LEARNING; NONHUMAN; NOSE CAVITY; ODOR; OLFACTORY BULB; OLFACTORY DISCRIMINATION; OLFACTORY RECEPTOR; OLFACTORY SYSTEM; QUANTITATIVE ANALYSIS; RECORDING; REVIEW; SENSORY NERVE CELL; SMELLING;

AFFERENT PATHWAYS; ANIMALS; COMPUTER SIMULATION; EVOKED POTENTIALS, SOMATOSENSORY; MICE; MICE, INBRED C57BL; MODELS, NEUROLOGICAL; NERVE NET; OLFACTORY BULB; RATS; RATS, LONG-EVANS; SMELL;

EID: 40649110125     PISSN: 07395175     EISSN: None     Source Type: Journal    
DOI: 10.1109/EMB.2007.913555     Document Type: Review

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