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ABSTRACT:
SUBMITTER: Isomura T
PROVIDER: S-EPMC6509167 | biostudies-literature | 2019 May
REPOSITORIES: biostudies-literature
Isomura Takuya T Toyoizumi Taro T
Scientific reports 20190509 1
Animals need to adjust their inferences according to the context they are in. This is required for the multi-context blind source separation (BSS) task, where an agent needs to infer hidden sources from their context-dependent mixtures. The agent is expected to invert this mixing process for all contexts. Here, we show that a neural network that implements the error-gated Hebbian rule (EGHR) with sufficiently redundant sensory inputs can successfully learn this task. After training, the network ...[more]