What is it about?
Our eyes receive a huge amount of information from our environment. It is therefore crucial for our brains to parse this information and make its most important aspects stand out from the rest. This paper shows that a property called neural habituation helps us detect novel information by suppressing our neuronal response to repeated items.
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Why is it important?
This paper demonstrates the way neural habituation works by simulating how our brains process visual information, and compares the results of this simulation to subject behavior, neural data from EEG, and machine learning. In addition to shedding light on the computations that contribute to the efficiency of human vision, the results have implications to theories of the N400, a neural signal associated with perception of novelty.
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This page is a summary of: Neural Habituation Enhances Novelty Detection: an EEG Study of Rapidly Presented Words, Computational Brain & Behavior, December 2019, Springer Science + Business Media,
DOI: 10.1007/s42113-019-00071-w.
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