Neuroscientists create ‘atlas’ showing how words are organised in the brain
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Re: Neuroscientists create ‘atlas’ showing how words are organised in the brain
#2Re: Neuroscientists create ‘atlas’ showing how words are organised in the brain
#3Re: Neuroscientists create ‘atlas’ showing how words are organised in the brain
#4> Strikingly, the brain atlases were similar for all the participants, suggesting that their brains organised the meanings of words in the same way. The scientists only scanned five men and two women, however. All are native English speakers, and two are authors of the study published in Nature. It is highly possible that people from different backgrounds and cultures will have different semantic brain atlases.
Would love to see this study performed on a much larger, diverse, group, to see what similarities and differences there are. Also, same person at different ages.
Re: Neuroscientists create ‘atlas’ showing how words are organised in the brain
#5Re: Neuroscientists create ‘atlas’ showing how words are organised in the brain
#6Perhaps Hinton's Vectors of Thought do have a wetware analogy.
Re: Neuroscientists create ‘atlas’ showing how words are organised in the brain
#7Interesting to compare this semantic map with the semantic maps that Mikolov's Word2vec processes produce and Word2vec's resultant semantic vector math (King - Man + Woman ~= Queen). Perhaps Hinton's Vectors of Thought do have a wetware analogy.
Re: Neuroscientists create ‘atlas’ showing how words are organised in the brain
#8Interesting to compare this semantic map with the semantic maps that Mikolov's Word2vec processes produce and Word2vec's resultant semantic vector math (King - Man + Woman ~= Queen). Perhaps Hinton's Vectors of Thought do have a wetware analogy.
What would this mean if so? And if not, what would that imply? :)
Soumith has shown this applies to visual modalities and smile vectors or wearing sunglasses vectors are similarly present[1].
This types of vector algebra has some use in translating between languages and modalities.
Karpathy[2] has demonstrated an internal vector of a descriptive sentence can 'plugged into' an image recognising network and used to find vectors representing pictures.
Perhaps a sentence vector could even generate a picture.
What Neural Nets do internally is still mysterious.
(A Highly speculative example) If DeepGo's internal vectors could translate to the modality of plain English we might glimpse its 'mind' at work.
What this means for brains is anyones guess, I find inspiration in Geoff Hinton's guesses[3].
[1] - searching
[2] https://www.youtube.com/watch?v=ZkY7fAoaNcg
[3] http://www.computing.co.uk/ctg/news/2409871/document-search-...
Re: Neuroscientists create ‘atlas’ showing how words are organised in the brain
#9Earlier quoted context omitted.
What would this mean if so? And if not, what would that imply? :)
In terms of (Artificial) Neural Networks it implies their internal representation is functional not merely symbolic. Soumith has shown this applies to visual modalities and smile vectors or wearing sunglasses vectors are similarly present[1]. This types of vector algebra has some use in translating between languages and modalities. Karpathy[2] has demonstrated an internal vector of a descriptive sentence can 'plugged…