Search alternatives:
point decrease » point increase (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
c decrease » c decreased (Expand Search), _ decrease (Expand Search), a decrease (Expand Search)
e point » _ point (Expand Search), 5 point (Expand Search), a point (Expand Search)
50 c » 5 c (Expand Search), 50 μ (Expand Search), 50 _ (Expand Search)
point decrease » point increase (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
c decrease » c decreased (Expand Search), _ decrease (Expand Search), a decrease (Expand Search)
e point » _ point (Expand Search), 5 point (Expand Search), a point (Expand Search)
50 c » 5 c (Expand Search), 50 μ (Expand Search), 50 _ (Expand Search)
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Neural networks classify states which differ in neuronal activity levels using ensembles of neurons that increase/decrease their activity in each state.
Published 2021“…<p><b>(A)</b> In this case, the State B raster was generated from the State A raster by shifting activity from neurons 1–50 to neurons 51–100. As a result, there is an increase (neurons 51:100) or decrease (neurons 1:50) in activity levels in State B compared to State A. …”
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