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One population in a spiking-network model learned what events to expect and when

TechXplore reports that it also learned how likely those events were, with most improvement in the first 50 trials.

TechXploreTE
Phys.orgPH
2 Sources, 1h ago, first seen 1h ago

TLDR

TechXplore reports that one population in a spiking-network model learned what events to expect, when they would happen and how likely they were. Most improvement came in the first 50 trials.

Combined views

1.1K

2 Sources, first seen 1h ago

4 likes1 saves2 reposts

Combined views

1.1K

2 Sources, first seen 1h ago

4 likes1 saves2 reposts

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2 Sources

Phys.org@physorg_comRT @TechXplore_com: One population in a spiking-network model learned what events to expect, when and how likely they are, with most improv…1h
TechXplore@TechXplore_comOne population in a spiking-network model learned what events to expect, when and how likely they are, with most improvement in the first 50 trials. @CommsBio https://techxplore.com/news/2026-10-spiking-neural-network.html?utm_source=twitter.com&utm_medium=social&utm_campaign=v21h
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    2 Sources

    Phys.org@physorg_comRT @TechXplore_com: One population in a spiking-network model learned what events to expect, when and how likely they are, with most improv…1h
    TechXplore@TechXplore_comOne population in a spiking-network model learned what events to expect, when and how likely they are, with most improvement in the first 50 trials. @CommsBio https://techxplore.com/news/2026-10-spiking-neural-network.html?utm_source=twitter.com&utm_medium=social&utm_campaign=v21h
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