甘、塩辛、酸、苦、うま味同様 https://t.co/pgRoUufdgk 香ばしい、気持ち悪い、フルーティ、非柑橘系、woody、樹脂系、化学的、sweet、レモン など基本的匂い次元を示唆 香りの短期記憶が🐭嗅覚にどう影響? https://t.co/JCZaU0YA8H 匂い暴露2h後 →嗅覚neuron異なれば遺伝子活性パターンも異なる https://t.co/CrCzLj2W2n
Meanwhile, this other paper (https://t.co/Nd7QQxDtCU) suggests that the actual perceptual space is more like 10 dimensions... which is still surprisingly small.
ODOR SPACE - How many basic odors can Humans detect? https://t.co/fk7QMbiIci @PLOS @PLOSBiology #Odor #Fragance #scent #aroma #perfume #Smelling #Olfaction #nose #fume #stench #reek @BatesCollege @PittTweet @ORNL Jason B. Castro - Arvind Ramanathan - Chak
Lo siguiente es un apasionante Paper de Jason Castro sobre la clasificación de aromas y su síntesis: http://t.co/wRUtyRNcVT
Categorical Dimensions of Human Odor Descriptor http://t.co/xOXeD3OJyG
da #PLOSONE lo spettro degli odori primari ha 10 elementi http://t.co/2MhYkg01Id
Categorical dimensions of human odor descriptor space revealed by non-negative matrix factorization http://t.co/5S4XusvrKx
Categorical Dimensions of Human Odor Descriptor Space Revealed by Non-Negative Matrix Factorization http://t.co/aCFDe5mYtb
10 #odors make it to 'color wheel' for human #scent, what does @nobelprize winner Linda Buck say? http://t.co/WjkpuY3VZj .@HutchinsonCtr
10 #odors make it to 'color wheel' for human #scent, what does @nobelprize winner Linda Buck say? http://t.co/WjkpuY3VZj .@HutchinsonCtr
Dimensionality reduction as applied to the scent and odor space. http://t.co/6lvbMGhKpI
Heh, kind of cool. And I understood everything on the first read! Thanks, linear algebra. http://t.co/kTaQNkMkNi
Here's that odour classification paper, based on Dravnieks original classification of 144. Not sure how much it adds http://t.co/OczEuFJKhr
PLOS ONE: Categorical Dimensions of Human Odor Descriptor Space Revealed by Non-Negative Matrix Factorization - http://t.co/TeahdZMPbP
Linear algebra helps to actually determine what a Smell is. (Even if I can't smell it, #Math CAN!!!) http://t.co/86bdTw980e
@BKPinot Found the original paper: http://t.co/1BfJMURlSW Warning: must like linear algebra.
fragrant, woody/resinous, fruity (non-citrus), chemical, minty/peppermint, sweet, popcorn, lemon, pungent, & decayed http://t.co/159HBDbr4k
#PLOSONE: All smells fall into one of 10 categories?http://t.co/W44RUbPsFc
10 odors identified: http://t.co/NNBRGYkz4k
LeesTip PlosOne Categorical Dimensions of Human Odor Descriptor Space Revealed by Non-Negative Matrix Factorization http://t.co/i7pcXeKMd3
Maths Smells (according to this paper) http://t.co/UcspSu1LqV
Classification of odors: http://t.co/2w2MIsc30j @VictoriaHenshaw @LOPEZMASCARAQUE @JLTrejo2 @smithbarryc @dcasacuberta @FifthSenseUK
Humans can smell ten smells – and one of them is popcorn! http://t.co/M67huGkYk6 @PLOS
What's that smell? Like the five taste sensations, researchers identify ten categories of smell http://t.co/cnaxiqnrYW
Humans can smell ten smells – and one of them is popcorn! http://t.co/M67huGkYk6 @PLOS
Humans can smell ten smells – and one of them is popcorn! http://t.co/M67huGkYk6 @PLOS
Humans can smell ten smells – and one of them is popcorn! http://t.co/M67huGkYk6 @PLOS
La estadística muestra los diez olores básicos http://t.co/uZPUdzqCcN" http://t.co/6dVwUzjDIP
PLOS ONE: Categorical Dimensions of Human Odor Descriptor Space Revealed by Non-Negative Matrix Factorization - http://t.co/TeahdZMPbP
What's that smell? Like the five taste sensations, researchers identify ten categories of smell http://t.co/cnaxiqnrYW
What's that smell? Like the five taste sensations, researchers identify ten categories of smell http://t.co/cnaxiqnrYW
"@PLOSONE: What's that smell? Like the five taste sensations, researchers identify ten categories of smell http://t.co/vW0Ip1f0AY"
What's that smell? Like the five taste sensations, researchers identify ten categories of smell http://t.co/cnaxiqnrYW
What's that smell? Like the five taste sensations, researchers identify ten categories of smell http://t.co/cnaxiqnrYW
What's that smell? Like the five taste sensations, researchers identify ten categories of smell http://t.co/cnaxiqnrYW