Another ANN model for the Miyashita experiments
Keyword(s):
AbstractThe Miyashita experiments are very interesting and the results should be examined from a viewpoint of attractor dynamics. Amit's target article shows a path toward realistic modeling by artificial neural networks (ANN), but it is not necessarily the only one. I introduce another model that can explain a substantial part of the empirical observations and makes an interesting prediction. This model consists of such units that have nonmonotonic input-output characteristics with local inhibition neurons.
Keyword(s):
2019 ◽
Vol 8
(4)
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pp. 3902-3910
2016 ◽
Vol 95
(4)
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pp. 615-622
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2021 ◽
2018 ◽
pp. 6642-6657