Open AccessInsight into the Neuron’s Insight
Author(s) -
Arash Afraz
Publication year - 2019
Publication title -
cell
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 26.304
H-Index - 776
eISSN - 1097-4172
pISSN - 0092-8674
DOI - 10.1016/j.cell.2019.04.019
Subject(s) - biology , visual cortex , neuroscience , neuron , feature (linguistics) , generative grammar , object (grammar) , generative model , cognitive science , evolutionary biology , artificial intelligence , computer science , psychology , philosophy , linguistics
In this issue, Ponce and colleagues use a generative closed-loop system to evolve synthetic images to explore the response properties of neurons in the inferior temporal cortex of non-human primates. The results reveal an unbiased assessment of feature selectivity in a high-level visual area involved in object recognition.
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